• Open Access
    Mini Review

    Interaction of electromagnetic fields with body-onboard devices

    Adel Razek *

    Explor Digit Health Technol. 2024;2:124–134 DOI: https://doi.org/10.37349/edht.2024.00015

    Received: March 12, 2024 Accepted: May 13, 2024 Published: June 17, 2024

    Academic Editor: J. G. Manjunatha, Mangalore University, India

    This article belongs to the special issue Biosensors for Bioactive Molecules

    Abstract

    The aim of this contribution is to analyze and discuss the perturbations of body-onboard medical devices caused by electromagnetic field radiations. This involves their control via electromagnetic compatibility analysis and their protection against such perturbations. The wearable, detachable, and embedded devices are first presented and their monitoring, control, forecasting, and stimulating functions are detailed. The interaction of these devices with field exposures comprising their wireless routines is then analyzed. The perturbations control of onboard devices is investigated through the mathematical solution of governing electromagnetic field equations and their appropriate protection strategies are deliberated. The involved investigations and analyses in the contribution are supported by a literature review.

    Keywords

    Body-onboard devices, electromagnetic fields, electromagnetic compatibility analysis, functional perturbations, shielding

    Introduction

    Throughout the historical existence of humanity, the target of modernism has never ceased. In our time, many daily procedures and devices characterize contemporary human society. The connection of these assistive accessories with humans leads, in addition to the desired objectives, to undesirable effects. These adverse effects can disrupt not only humans but also wildlife (One Health concept) and other entities. This is due to the proximity of the environment of humans to that of these others. The operation of one of the most popular categories of such equipment is concomitant with electromagnetic fields (EMFs), particularly wireless ones. Typical examples of wireless communication devices are telephone cells and their tower antennas, and wireless power transfer, such as charging and heating devices.

    It is certain that energy transfer and wireless communication technologies contribute greatly to the well-being of society. The presence of devices using such technologies in daily use is constantly increasing. Due to their operating principle, in addition to their functional transmission of waves, they emit parasitic (stray) EMFs. These EMF exposures can interact with objects and living tissues in general [115]. Additionally, these wireless devices can interact with each other and each could disrupt their operation. Thus, consolidating the desired objectives of these tools and reducing their harmful side effects is the subject of an emerging challenge [16].

    The growth of body-onboard medical devices has placed emphasis on user well-being, acceptability, security, and improved medical operability. Different categories of sensors have been transformed into wearable, detachable, and implanted configurations to further monitor body indications and enable instantaneous and uninterrupted detection. To achieve these body-sensing records, it is essential to incorporate wireless, power delivery, and information communication routines alongside embedded devices.

    It is apparent from the above discussion that body-onboard devices in general, coupled with their wireless power transfer and data communication could interact with other medical or everyday use wireless devices mentioned above. The latter can act as a source of EMF radiation disrupting the detections of the exposed body-onboard devices and their wireless connections. Various other adverse side effects of EMF radiation, in addition to detection functions, could perturb medical devices. Typical examples of potential side effects of EMF are premature drug release of delivery tools and heating of metallic implants.

    The purpose of this paper is to investigate and highlight the effects of the EMF interaction with portable, connectable, and embedded devices, as well as their protection strategy against such effects.

    Three sections constitute the present work, the details and functions of body-onboard devices, their interaction with EMFs, and the governing equations permitting control analysis and protection. First, portable, detachable, and embedded devices will be presented and their monitoring, control, prediction, and stimulation functions will be described. In the second part, the interaction of these devices with EMF exposures including their wireless routines will be analyzed. The third section concerns the mathematical equations governing EMFs and their numerical solution in the context of device functionality control. Thus, an electromagnetic compatibility (EMC) analysis is carried out using such a solution to verify their integrity (constancy). At the end of this section, shielding strategies will be discussed and analyzed. The involved investigations and analyses in the contribution are supported by a literature review.

    Wearable, detachable, and embedded devices

    Three categories of body-onboard devices are usually employed, which include wearable, connectable (or detachable), and implanted (or ingestible) that can be passive or active. These devices possess generally smart behavior, i.e., they reflect a facility to extract data in a smart manner and in real-time. This section is dedicated to the analysis of their roles in healthcare.

    Monitoring, control, forecasting, and stimulating functions

    Non-invasive wearable devices that operate in real-time enable uninterrupted monitoring of the people being cared for and thus provide appropriate health information to determine their overall condition of health and, moreover, a primary picture of health assessment [1722]. Additionally, connectable or detachable intelligent detecting tools that besides serve as instantaneous condition supervising means provide personally useful warnings related to physical disorders. These warnings relate to heart rate, pressure of blood circulation, rate of respiration, etc. This personalized healthcare monitoring delivers relevant medical data [2325]. Moreover, modern advances in biocompatibility and biodegradability of materials [2637] have facilitated advancements in the field of integrated fixed inactive tools enabling identification and prediction by means of miniature sensors, thus intensely improving the value and the effectiveness of individual health care [3842]. Other embedded devices, stationary but active, are intended to stimulate or activate a part of the body, such as cardiac pacemakers, neurostimulators, or pumps [4347].

    Post-treatment and connected personalized home clinics

    In addition to the mentioned roles of monitoring, forecasting, stimulation, etc. of the mentioned devices, these also make it possible to supervise the post-treatment condition of patients [48, 49]. Moreover, following health management recommendations, the paradigm of personalized healthcare through a connected integrated strategy is booming. Thus, replacing face-to-face care with connected assistance using the three mentioned categories of body-onboard tools in individualized care [5054].

    Wireless power and communication routines

    Wireless, power supply, and information communication routines are necessary for the intelligent operation of body-onboard tools [55]. This important feature of an onboard device reflects some vulnerabilities. Besides the conventional security of transmitting personal data via wireless communication networks [56], the physical nature of wireless could experience EMF exposures. Thus, in addition to the harmful effects of external exposure to EMFs on the body-onboard tool itself, this can disrupt its wireless transmission procedures.

    Interaction of onboard devices with EMF

    A notable security issue concerns the protection of the above onboard devices against EMF noise radiated by neighboring everyday equipment. In fact, wearable devices typically incorporate electronic and optical biosensors that provide real-time data on a patient’s electrophysiological or biochemical status [57]. These sensors could be affected by EMF radiation; thus, their functions of detecting the patient’s condition would be erroneous. A specific example could be a wearable drug delivery device with silicon nanomembrane strain sensors, a temperature sensor, and electroresistive heaters [19]. In this example, exposure to EMFs could affect the operation of the device. This can be undertaken using various approaches. Firstly, avoiding EMF-sensitive ingredients in their constitution as much as feasible. Another possibility is to defend, by protecting such onboard tools along with the radiation sources. Another safety measure is to keep these onboard devices away from tough EMFs, for instance being inserted into the strong MRI magnet. The safety of these devices, in addition to their protection, can be controlled by EMC routines.

    EMC onboard devices control

    A significant attribute of the position of such a tool (recipient) versus radiation (supply) is if it were able to function as usual in a radiation environment, this defines its performing aptitude. Nevertheless, once this receiving tool undergoes field radiation, its key performance signs might be disrupted by a reduction in the signal-to-noise ratio, signal carryover, etc., and therefore, its operation might be reduced. Subject to the domain of use, a receiving tool has certain practical requests and its EMC control assessment relates to subsequent criteria [58, 59]. Such criteria are principally established on static methods. So, the EMC check examination achieved on the tool is built on a universally mounted waveform whereas the control is executed based on the results of the test. This convolution of reflecting a complex EMF radiation environment dynamic behavior is challenged by the device function. Several researches have been achieved to enhance the verification methods of EMC evaluation [6066].

    The experimental control techniques designated overhead are rather complicated and frequently need specialized and costly protected locations. In such circumstances, an alternate answer can be verified by numerical computations through an EMC study to confirm the reliability of different concerned devices [6770]. Indeed, the legitimacy of an approach guarding a tool against field radiation might be ensured by an EMC examination verifying the invariance of device fields due to radiation.

    Governing equations, EMC analysis, and shielding

    This part regards the EMC check mentioned above relating to onboard medical devices. Such a control is established and ruled by the equations of EMF characterizing the field’s comportment. This verifies the possible disturbance of local distributions of induced EMFs in an EMF-sensitive object due to a given field radiation. Note that, if the radiated target were insensitive to EMF, its field distributions would not be changed.

    EMFs governing equations

    The general EMF four equations, in their differential form, based on Maxwell’s microscopic local equations [71] are given by:

    × E = − ∂t B (Maxwell – Faraday), × H = σ E + ∂t D (Maxwell – Ampère), · D = ρe (Maxwell – Gauss), and · B = 0 (Maxwell – Thomson).

    For harmonic fields’ case, the EMF equations can be given by:

    (1) × H = J

    (2) J = Je + σ E + j ω D

    (3) E = − V – j ω A

    (4) B = × A

    In the above EMF equations, H and E are the vectors of the magnetic and electric fields in A/m and V/m, B and D are the vectors of the magnetic and electric inductions in T and C/m2, A and V are the magnetic vector and electric scalar potentials in W/m and volt. J and Je are the vectors of the total and source current densities in A/m2, σ is the electric conductivity in S/m, ρe is the volume density of electric charges in C/m3, and ω = 2πf, where f is the frequency in Hz of the exciting EMF. The vector is a partial derivative operator, with three likely inferences gradient (product with a scalar field), divergence and curl (dot and cross products respectively, with a vector field). The sign ∂t corresponds to the operator of partial time derivative. The magnetic and electric behavior laws respectively between B/H and D/E correspond to the permeability μ and the permittivity ε in H/m and F/m.

    The excitation in (1–4) is current density Je = σ Ee = j ω De = j ω ε Ee. The choice of the form of the source term depends on the nature of the exposure and the exposed material nature.

    Equation solution and EMC

    In general, depending on the geometric complexity and inhomogeneity of the materials, the solution of (1–4) must be local in the device using 3D discretized methods as finite elements [7279] in the appropriate element of the material. The discretized 3D elements are volume sections delimited by surface elements, each bordered by edge elements, each terminated by two nodes. Fields could be expressed at the level of nodes, edges, faces, or volume depending on the nature of the field such as field continuity constraints, etc.

    An EMC analysis aims to monitor, through the solution of EMF equations, disturbances due to an external source of EMF exposure on a recipient tool, revealing its measure of EMF reaction. In the present work, we need to verify the onboard devices’ inattention to EMF exposures. Such control may be accomplished by matching the distributions of fields in the device with and free of interfering sources. The field constancy in shielded onboard devices will be checked without and with exposure. Actually, for a certain source field Ee linked to Je, solving (1–4) will provide the induced values of the EMF, Ei, Bi, and Ji in each element of the discretized domain. The resulting distributions of EMFs allow the control of EMC. The solution domain in this case corresponds to the structure of the device. The verified EMC control due to an EMF exposure involves the constancy confirmation of the field values in the domain. Such an EMC check could be accomplished on the single being checked instrument to ensure its own running. Still, such devices generally operate neighboring to living tissues and can act together. Such a coupling can modify the comportments of the device along with the tissues [80].

    Smart shielding

    As stated previously, to decrease the influences of radiation of EMF on onboard medical tools, we can manage each shielding of the recipient and radiation supply or modify each of the constructions employing tools for design and optimization. These approaches can be supported and confirmed by control through EMC analysis. Protecting equipment by shields in general employs constituents displaying behaviors of absorbing or reflecting the radiated fields to inhibit its traversing between the two borders of the shield. Electromagnetic interference (EMI), coverings, sheets and shields, which support holding EMF radiation, are necessary for the customary action of medical tools and the protection of living tissues. Magnetic and electric fields composing an EMF wave are directed in the space perpendicularly. Thus, EMI shielding methods are categorized into EMI electric, magnetic, or their coupling shields. It should be noted that high-frequency EMF waves, such as RF waves, mainly distinguish radiation, showing interrelated electric and magnetic fields. So, if one of the two fields is shielded, the other will also be hidden. Due to this occurrence, shields are taken simply as electric conductives. However, shields with a simple conductive material could exhibit, under EMF exposure, induced currents, which would involve EMF dissipated losses causing heating. The closeness of the shielded device to tissues could cause temperature rise and adverse effects on body tissues [80]. In such conditions, the conductive nature of the shield should be adapted to account for this body tissue adverse effect. In general, the function of target nature and shielding technologies use materials of different types. These include clothing fabrics, adhesives rubbers, and coatings. Such diverse constituents are associated with the needed elasticity, the fixative ability, the easiness of processing, and consistency. The investigation domain of protective shields is very dedicated because of the development of everyday EMF exposures [8192]. Concerning the adjustment of the shield conductive character indicated above, the use of multifunctional accorded substances for shielding low-reflectivity could present improved defense. The matter adapting can decrease the tough EMF reflection triggered by the matter’s high conductivity. Furthermore, a particular fabricating procedure allows diminishing of the substance coefficient of reflected power, along with lessened heat dissipation and enhanced isolation and kind ecologically defending substances [9395]. In ending, solitary a tool built of EMF-indifferent constituents or smart shielded, can be safe.

    Additional remarks

    Following the analyses reported in the last sections, which were limited to the situation considering that living tissues do not affect and are not affected by the occurrence of exposure to EMF. In fact, onboard devices operate in close proximity to living tissues and can jointly interact with EMFs. Thus, the behavior of devices due to exposure to EMF would be influenced by the presence of living tissue. Moreover, in addition to likely thermal biological effects, living tissues could be heated due to the increased temperature of metal parts of devices or their shields due to EMF exposure. Accordingly, EMF control could include the onboard device associated with the phantom of a part of living tissue modeled by EMF coupled with bioheat equations. Figure 1 illustrates a summary diagram of onboard device control strategies and EMF exposure behaviors in the generally mentioned case.

    Summarizing diagram of control strategies of onboard devices and EMF exposure accounting to living tissues and thermal effects

    Besides the mentioned side effects of EMF on living tissues and associated with embedded devices, an important effect could be encountered regarding the generation of reactive oxygen species, which can particularly affect the healing of inflammatory tissues. In fact, onboard devices often use Bluetooth, which operates in the microwave range and would be responsible for such effect [96].

    Conclusions

    In this contribution, we analyzed and discussed the disturbances due to EMFs on body-onboard medical devices. The control via EMC analysis of device disturbances was studied through the mathematical solution of the equations governing the EMFs. The research and analysis involved in the contribution was supported by a literature review. Several concluding remarks are worth mentioning:

    Numerical EMC analysis could be an effective tool to verify the integrity of the devices studied. Protection of these devices could be ensured by avoiding the presence of unprotected sources of exposure, using smart shields on devices, and developing radiation presence detectors on devices.

    Abbreviations

    EMC:

    electromagnetic compatibility

    EMFs:

    electromagnetic fields

    EMI:

    electromagnetic interference

    Declarations

    Author contributions

    AR: Conceptualization, Data curation, Formal analysis, Writing—original draft, Writing—review & editing. The author read and approved the submitted version.

    Conflicts of interest

    The author declares that he has no conflicts of interest.

    Ethical approval

    Not applicable.

    Consent to participate

    Not applicable.

    Consent to publication

    Not applicable.

    Availability of data and materials

    Not applicable.

    Funding

    Not applicable.

    Copyright

    © The Author(s) 2024.

    References

    Petroulakis N, Mattsson MO, Chatziadam P, Simko M, Gavrielides A, Yiorkas AM, et al. NextGEM: Next-Generation Integrated Sensing and Analytical System for Monitoring and Assessing Radiofrequency Electromagnetic Field Exposure and Health. Int J Environ Res Public Health. 2023;20:6085. [DOI] [PubMed] [PMC]
    Henschenmacher B, Bitsch A, de Las Heras Gala T, Forman HJ, Fragoulis A, Ghezzi P, et al. The effect of radiofrequency electromagnetic fields (RF-EMF) on biomarkers of oxidative stress in vivo and in vitro: A protocol for a systematic review. Environ Int. 2022;158:106932. [DOI] [PubMed] [PMC]
    Cirimele V, Freschi F, Giaccone L, Pichon L, Repetto M. Human Exposure Assessment in Dynamic Inductive Power Transfer for Automotive Applications. IEEE Trans Magn. 2017;53:14. [DOI]
    Lagorio S, Blettner M, Baaken D, Feychting M, Karipidis K, Loney T, et al. The effect of exposure to radiofrequency fields on cancer risk in the general and working population: A protocol for a systematic review of human observational studies. Environ Int. 2021;157:106828. [DOI] [PubMed] [PMC]
    Hinrikus H, Koppel T, Lass J, Orru H, Roosipuu P, Bachmann M. Possible health effects on the human brain by various generations of mobile telecommunication: a review based estimation of 5G impact. Int J Radiat Biol. 2022;98:121021. [DOI] [PubMed]
    Pophof B, Burns J, Danker-Hopfe H, Dorn H, Egblomassé-Roidl C, Eggert T, et al. The effect of exposure to radiofrequency electromagnetic fields on cognitive performance in human experimental studies: A protocol for a systematic review. Environ Int. 2021;157:106783. [DOI] [PubMed] [PMC]
    Batool S, Bibi A, Frezza F, Mangini F. Benefits and hazards of electromagnetic waves, telecommunication, physical and biomedical: a review. Eur Rev Med Pharmacol Sci. 2019;23:31218. [DOI] [PubMed]
    Chikha WB, Zhang Y, Liu J, Wang S, Sandeep S, Guxens M, et al. Assessment of Radio Frequency Electromagnetic Field Exposure Induced by Base Stations in Several Micro-Environments in France. IEEE Access. 2024;12:2161020. [DOI]
    Sivani S, Sudarsanam D. Impacts of radio-frequency electromagneticfield (RF-EMF) from cell phone towers and wireless devices on biosystem and ecosystem – a review. Biol Med. 2012;4:20216.
    Razek A. Biological and Medical Disturbances Due to Exposure to Fields Emitted by Electromagnetic Energy Devices—A Review. Energies. 2022;15:4455. [DOI]
    Ozel HB, Cetin M, Sevik H, Varol T, Isik B, Yaman B. The effects of base station as an electromagnetic radiation source on flower and cone yield and germination percentage in Pinus brutia Ten. Biol Futur. 2021;72:35965. [DOI] [PubMed]
    Khan MD, Ali S, Azizullah A, Shuijin Z. Use of various biomarkers to explore the effects of GSM and GSM-like radiations on flowering plants. Environ Sci Pollut Res Int. 2018;25:2461128. [DOI] [PubMed]
    Tran NT, Jokic L, Keller J, Geier JU, Kaldenhoff R. Impacts of Radio-Frequency Electromagnetic Field (RF-EMF) on Lettuce (Lactuca sativa)-Evidence for RF-EMF Interference with Plant Stress Responses. Plants (Basel). 2023;12:1082. [DOI] [PubMed] [PMC]
    Pawełe A, Owusu SA, Cecchetti D, Zielińska A, Wyszkowska J. What evidence exists of crop plants response to exposure to static magnetic and electromagnetic fields? A systematic map protocol. Environ Evid. 2022;11:37. [DOI]
    Ayesha S, Abideen Z, Haider G, Zulfiqar F, El-Keblawy A, Rasheed A, et al. Enhancing sustainable plant production and food security: Understanding the mechanisms and impacts of electromagnetic fields. Plant Stress. 2023;9:100198. [DOI]
    Razek A. Thermal effects of electromagnetic origin from heating processes to biological disturbances due to field exposure—A review. Therm Sci Eng. 2023;6:1950.
    Guk K, Han G, Lim J, Jeong K, Kang T, Lim EK, et al. Evolution of Wearable Devices with Real-Time Disease Monitoring for Personalized Healthcare. Nanomaterials. 2019;9:813. [DOI] [PubMed] [PMC]
    Xin Y, Liu T, Sun H, Xu Y, Zhu J, Qian C, et al. Recent progress on the wearable devices based on piezoelectric sensors. Ferroelectrics. 2018;531:10213. [DOI]
    Yetisen AK, Martinez-Hurtado JL, Ünal B, Khademhosseini A, Butt H. Wearables in Medicine. Adv Mater. 2018;30:e1706910. [DOI] [PubMed] [PMC]
    Chakrabarti S, Biswas N, Jones LD, Kesari S, Ashili S. Smart Consumer Wearables as Digital Diagnostic Tools: A Review. Diagnostics (Basel). 2022;12:2110. [DOI] [PubMed] [PMC]
    Escobar-Linero E, Muñoz-Saavedra L, Luna-Perejón F, Sevillano JL, Domínguez-Morales M. Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies. Sensors. 2023;23:1678. [DOI] [PubMed] [PMC]
    Devi DH, Duraisamy K, Armghan A, Alsharari M, Aliqab K, Sorathiya V, et al. 5G Technology in Healthcare and Wearable Devices: A Review. Sensors. 2023;23:2519. [DOI] [PubMed] [PMC]
    Pantelopoulos A, Bourbakis NG. A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis. IEEE Trans Syst Man Cybern C. 2010;40:112. [DOI]
    Chan M, Estève D, Fourniols JY, Escriba C, Campo E. Smart wearable systems: current status and future challenges. Artif Intell Med. 2012;56:13756. [DOI] [PubMed]
    Kim J, Campbell AS, de Ávila BE, Wang J. Wearable biosensors for healthcare monitoring. Nat Biotechnol. 2019;37:389406. [DOI] [PubMed] [PMC]
    Traverson M, Heiden M, Stanciu LA, Nauman EA, Jones-Hall Y, Breur GJ. In Vivo Evaluation of Biodegradability and Biocompatibility of Fe30Mn Alloy. Vet Comp Orthop Traumatol. 2018;31:106. [DOI] [PubMed]
    Wang Y, Venezuela J, Dargusch M. Biodegradable shape memory alloys: Progress and prospects. Biomaterials. 2021;279:121215. [DOI] [PubMed]
    Li H, Lin G, Wang P, Huang J, Wen C. Nutrient alloying elements in biodegradable metals: a review. J Mater Chem B. 2021;9:980625. [DOI] [PubMed]
    Rabeeh VPM, Hanas T. Progress in manufacturing and processing of degradable Fe-based implants: a review. Prog Biomater. 2022;11:16391. [DOI] [PubMed] [PMC]
    Babacan N, Kochta F, Hoffmann V, Gemming T, Kühn U, Giebeler L, et al. Effect of silver additions on the microstructure, mechanical properties and corrosion behavior of biodegradable Fe-30Mn-6Si. Mater Today Commun. 2021;28:102689. [DOI]
    Tai CC, Lo HL, Liaw CK, Huang YM, Huang YH, Yang KY, et al. Biocompatibility and Biological Performance Evaluation of Additive-Manufactured Bioabsorbable Iron-Based Porous Suture Anchor in a Rabbit Model. Int J Mol Sci. 2021;22:7368. [DOI] [PubMed] [PMC]
    Bakhsheshi-Rad HR, Najafinezhad A, Hadisi Z, Iqbal N, Daroonparvar M, Sharif S, et al. Characterization and biological properties of nanostructured clinoenstatite scaffolds for bone tissue engineering applications. Mater Chem Phys. 2021;259:123969. [DOI]
    Sun Y, Chen L, Liu N, Wang H, Liang C. Laser-modified Fe–30Mn surfaces with promoted biodegradability and biocompatibility toward biological applications. J Mater Sci. 2021;56:1377284. [DOI]
    Saliba L, Sammut K, Tonna C, Pavli F, Valdramidis V, Gatt R, et al. FeMn and FeMnAg biodegradable alloys: An in vitro and in vivo investigation. Heliyon. 2023;9:e15671. [DOI] [PubMed] [PMC]
    Hao S, Yang T, Zhang A, Wang P, Jiang H, Shen D, et al. Evaluation of Biodegradable Alloy Fe30Mn0.6N in Rabbit Femur and Cartilage through Detecting Osteogenesis and Autophagy. BioMed Res Int. 2023;2023:3626776. [DOI] [PubMed] [PMC]
    Biffi CA, Fiocchi J, Bregoli C, Gambaro S, Copes F, Mantovani D, et al. Ultrashort Laser Texturing for Tuning Surface Morphology and Degradation Behavior of the Biodegradable Fe–20Mn Alloy for Temporary Implants. Adv Eng Mater. 2022;24:2101496. [DOI]
    Putra NE, Leeflang MA, Taheri P, Fratila-Apachitei LE, Mol JMC, Zhou J, et al. Extrusion-based 3D printing of ex situ-alloyed highly biodegradable MRI-friendly porous iron-manganese scaffolds. Acta Biomater. 2021;134:77490. [DOI] [PubMed]
    Soliman MM, Chowdhury MEH, Khandakar A, Islam MT, Qiblawey Y, Musharavati F, et al. Review on Medical Implantable Antenna Technology and Imminent Research Challenges. Sensors. 2021;21:3163. [DOI] [PubMed] [PMC]
    Gupta A, Kumar V, Bansal S, Alsharif MH, Jahid A, Cho HS. A Miniaturized Tri-Band Implantable Antenna for ISM/WMTS/Lower UWB/Wi-Fi Frequencies. Sensors. 2023;23:6989. [DOI] [PubMed] [PMC]
    Chowdhury MEH, Khandakar A, Alzoubi K, Mansoor S, M Tahir A, Reaz MBI, et al. Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring. Sensors. 2019;19:2781. [DOI] [PubMed] [PMC]
    Moon KS, Lee SQ. A Wearable Multimodal Wireless Sensing System for Respiratory Monitoring and Analysis. Sensors. 2023;23:6790. [DOI] [PubMed] [PMC]
    Khan Mamun MMR, Sherif A. Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges. Bioengineering. 2022;10:27. [DOI] [PubMed] [PMC]
    Bhuva AN, Moralee R, Brunker T, Lascelles K, Cash L, Patel KP, et al. Evidence to support magnetic resonance conditional labelling of all pacemaker and defibrillator leads in patients with cardiac implantable electronic devices. Eur Heart J. 2022;43:246978. [DOI] [PubMed] [PMC]
    Joo H, Lee Y, Kim J, Yoo JS, Yoo S, Kim S, et al. Soft Implantable Drug Delivery Device Integrated Wirelessly with Wearable Devices to Treat Fatal Seizures. Sci Adv. 2021;7:eabd4639. [DOI] [PubMed] [PMC]
    Cheng Y, Xie D, Han Y, Guo S, Sun Z, Jing L, et al. Precise management system for chronic intractable pain patients implanted with spinal cord stimulation based on a remote programming platform: Study protocol for a randomized controlled trial (PreMaSy study). Trials. 2023;24:580. [DOI] [PubMed] [PMC]
    Thotahewa KM, Redouté JM, Yuce MR. Electromagnetic and thermal effects of IR-UWB wireless implant systems on the human head. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:517982. [DOI] [PubMed]
    Corbett GD, Buttery PC, Pugh PJ, Cameron EAB. Endoscopy and implantable electronic devices. Frontline Gastroenterol. 2012;3:725. [DOI]
    Khan Y, Ostfeld AE, Lochner CM, Pierre A, Arias AC. Monitoring of Vital Signs with Flexible and Wearable Medical Devices. Adv Mater. 2016;28:437395. [DOI] [PubMed]
    Patel S, Park H, Bonato P, Chan L, Rodgers M. A review of wearable sensors and systems with application in rehabilitation. J Neuroeng Rehabil. 2012;9:21. [DOI] [PubMed] [PMC]
    Hurley NC, Spatz ES, Krumholz HM, Jafari R, Mortazavi BJ. A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders. ACM Trans Comput Healthc. 2021;2:9. [DOI] [PubMed] [PMC]
    Talal M, Zaidan AA, Zaidan BB, Albahri AS, Alamoodi AH, Albahri OS, et al. Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review. J Med Syst. 2019;43:42. [DOI] [PubMed]
    Patel V, Orchanian-Cheff A, Wu R. Evaluating the Validity and Utility of Wearable Technology for Continuously Monitoring Patients in a Hospital Setting: Systematic Review. JMIR Mhealth Uhealth. 2021;9:e17411. [DOI] [PubMed] [PMC]
    Osama M, Ateya AA, Sayed MS, Hammad M, Pławiak P, Abd El-Latif AA, et al. Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions. Sensors. 2023;23:7435. [DOI] [PubMed] [PMC]
    Mukherjee S, Suleman S, Pilloton R, Narang J, Rani K. State of the Art in Smart Portable, Wearable, Ingestible and Implantable Devices for Health Status Monitoring and Disease Management. Sensors. 2022;22:4228. [DOI] [PubMed] [PMC]
    Park YG, Lee S, Park JU. Recent Progress in Wireless Sensors for Wearable Electronics. Sensors. 2019;19:4353. [DOI] [PubMed] [PMC]
    Batista E, Moncusi MA, López-Aguilar P, Martínez-Ballesté A, Solanas A. Sensors for Context-Aware Smart Healthcare: A Security Perspective. Sensors. 2021;21:6886. [DOI] [PubMed] [PMC]
    Zhang J, Gai M, Ignatov AV, Dyakov SA, Wang J, Gippius NA, et al. Stimuli-Responsive Microarray Films for Real-Time Sensing of Surrounding Media, Temperature, and Solution Properties via Diffraction Patterns. ACS Appl Mater Interfaces. 2020;12:1908091. [DOI] [PubMed]
    IEC/TS 61000-1-2, Electromagnetic compatibility (EMC) - Part 1-2: General - Methodology for the achievement of functional safety of electrical and electronic systems including equipment with regard to electromagnetic phenomena [Internet]. Geneva, Switzerland: IEC; [cited 2016 Apr 1]. Available from: https://standards.globalspec.com/std/10004989/iec-61000-1-2
    CISPR 16-1-1:2019, Specification for radio disturbance and immunity measuring apparatus and methods - Part 1-1: Radio disturbance and immunity measuring apparatus - Measuring apparatus [Internet]. Geneva, Switzerland: CISPR; [cited 2019 May 22]. Available from: https://webstore.iec.ch/publication/60774
    Sabath F. A systematic approach for electromagnetic interference risk management. IEEE Electromagn Compat Mag. 2017;6:99106. [DOI]
    Jang J, Paonni M, Eissfeller B. CW Interference Effects on Tracking Performance of GNSS Receivers. IEEE Trans Aerosp Electron Syst. 2012;48:24358. [DOI]
    Su D, Xie S, Chen A, Shang X, Zhu K, Xu H. Basic Emission Waveform Theory: A Novel Interpretation and Source Identification Method for Electromagnetic Emission of Complex Systems. IEEE Trans Electromagn Compat. 2018;60:13309. [DOI]
    Hoijer M. Including Directivity in Reverberation Chamber Radiated Susceptibility Testing. IEEE Trans Electromagn Compat. 2011;53:2837. [DOI]
    Spadacini G, Grassi F, Pignari SA, Bisognin P, Piche A. Bulk Current Injection as an Alternative Radiated Susceptibility Test Enforcing a Statistically Quantified Overtesting Margin. IEEE Trans Electromagn Compat. 2018;60:12708. [DOI]
    Cai S, Li Y, Zhu H, Wu X, Su D. A Novel Electromagnetic Compatibility Evaluation Method for Receivers Working under Pulsed Signal Interference Environment. Appl Sci. 2021;11:9454. [DOI]
    Leferink F, Van der Ven JK, Bergsma H, Van Leersum B. Risk based EMC for complex systems. URSI GASS. 2017:14. [DOI]
    Khairi R, Razek A, Bernard L, Corcolle R, Bernard Y, Pichon L, et al. EMC analysis of MRI environment in view of Optimized performance and cost of image guided interventions. Int J Appl Electromagn Mech. 2016;51:S6774. [DOI]
    Razek A. Towards an image-guided restricted drug release in friendly implanted therapeutics. Eur Phys J Appl Phys. 2018;82:31401. [DOI]
    Razek A. Assessment of Supervised Drug Release in Cordial Embedded Therapeutics. Athens J Technol Eng. 2019;6:7790. [DOI]
    Razek A. Assessment of EMF Troubles of Biological and Instrumental Medical Questions and Analysis of Their Compliance with Standards. Standards. 2023;3:22739. [DOI]
    Maxwell JC. VIII. A dynamical theory of the electromagnetic field. Philos Trans Roy Soc. 1865;155:459512. [DOI]
    Nunes AS, Dular P, Chadebec O, Kuo-Peng P. Subproblems Applied to a 3-D Magnetostatic Facet FEM Formulation. IEEE Trans Magn. 2018;54:19. [DOI]
    Li G, Ojeda J, Hoang E, Gabsi M, Lecrivain M. Thermal–Electromagnetic Analysis for Driving Cycles of Embedded Flux-Switching Permanent-Magnet Motors. IEEE Trans Veh Technol. 2012;61:14051. [DOI]
    Piriou F, Razek A. Numerical simulation of a nonconventional alternator connected to a rectifier. IEEE Trans Energy Convers. 1990;5:5128. [DOI]
    Bernard L. Electrical characterization of biological tissues and computing of phenomena induced in the human body by electromagnetic fields below 1 GHz [dissertation]. Ecole Centrale de Lyon; Universidade federal de Minas Gerais; 2007.
    Ren Z, Razek A. A coupled electromagnetic-mechanical model for thin conductive plate deflection analysis. IEEE Trans Magn. 1990;26:16502. [DOI]
    Freschi F, Giaccone L, Cirimele V, Canova A. Numerical assessment of low-frequency dosimetry from sampled magnetic fields. Phys Med Biol. 2017;63:015029. [DOI] [PubMed]
    Li C, Ren Z, Razek A. An approach to adaptive mesh refinement for three-dimensional eddy-current computations. IEEE Trans Magn. 1994;30:1137. [DOI]
    Piriou F, Razek A. Calculation of saturated inductances for numerical simulation of synchronous machines. IEEE Trans Magn. 1983;19:262831. [DOI]
    Razek A. Assessment of a Functional Electromagnetic Compatibility Analysis of Near-Body Medical Devices Subject to Electromagnetic Field Perturbation. Electronics. 2023;12:4780. [DOI]
    Yang Y, Zeng S, Li X, Hu Z, Zheng J. Ultrahigh and Tunable Electromagnetic Interference Shielding Performance of PVDF Composite Induced by Nano-Micro Cellular Structure. Polymers. 2022;14:234. [DOI] [PubMed] [PMC]
    Wang G, Wang L, Mark LH, Shaayegan V, Wang G, Li H, et al. Ultralow-Threshold and Lightweight Biodegradable Porous PLA/MWCNT with Segregated Conductive Networks for High-Performance Thermal Insulation and Electromagnetic Interference Shielding Applications. ACS Appl Mater Interfaces. 2018;10:1195203. [DOI] [PubMed]
    Yao B, Hong W, Chen T, Han Z, Xu X, Hu R, et al. Highly Stretchable Polymer Composite with Strain-Enhanced Electromagnetic Interference Shielding Effectiveness. Adv Mater. 2020;32:e1907499. [DOI] [PubMed]
    Yun T, Kim H, Iqbal A, Cho YS, Lee GS, Kim MK, et al. Electromagnetic Shielding of Monolayer MXene Assemblies. Adv Mater. 2020;32:e1906769. [DOI] [PubMed]
    Song WL, Cao MS, Lu MM, Bi S, Wang CY, Liu J, et al. Flexible graphene/polymer composite films in sandwich structures for effective electromagnetic interference shielding. Carbon. 2014;66:6776. [DOI]
    Song WL, Guan XT, Fan LZ, Cao WQ, Wang CY, Cao MS. Tuning three-dimensional textures with graphene aerogels for ultra-light flexible graphene/texture composites of effective electromagnetic shielding. Carbon. 2015;93:15160. [DOI]
    Tan YJ, Li J, Gao Y, Li J, Guo S, Wang M. A facile approach to fabricating silver-coated cotton fiber non-woven fabrics for ultrahigh electromagnetic interference shielding. Appl Surf Sci. 2018;458:23644. [DOI]
    Han M, Yin X, Hantanasirisakul K, Li X, Iqbal A, Hatter CB, et al. Anisotropic MXene aerogels with a mechanically tunable ratio of electromagnetic wave reflection to absorption. Adv Opt Mater. 2019;7:1900267. [DOI]
    Cheng J, Li C, Xiong Y, Zhang H, Raza H, Ullah S, et al. Recent Advances in Design Strategies and Multifunctionality of Flexible Electromagnetic Interference Shielding Materials. Nanomicro Lett. 2022;14:80. [DOI] [PubMed] [PMC]
    Mohammad M, Wodajo ET, Choi S, Elbuluk ME. Modeling and Design of Passive Shield to Limit EMF Emission and to Minimize Shield Loss in Unipolar Wireless Charging System for EV. IEEE Trans Power Electron. 2019;34:1223545. [DOI]
    Canova A, Corti F, Laudani A, Lozito GM, Quercio M. Innovative shielding technique for wireless power transfer systems. IET Power Electron. 2023:18. [DOI]
    Fan Z, Lu L, Sang M, Wu J, Wang X, Xu F, et al. Wearable Safeguarding Leather Composite with Excellent Sensing, Thermal Management, and Electromagnetic Interference Shielding. Adv Sci. 2023;10:e2302412. [DOI] [PubMed] [PMC]
    Ma Z, Deng Z, Zhou X, Li L, Jiao C, Ma H, et al. Multifunctional and magnetic MXene composite aerogels for electromagnetic interference shielding with low reflectivity. Carbon. 2023;213:118260. [DOI]
    Yun J, Zhou C, Guo B, Wang F, Zhou Y, Ma Z, et al. Mechanically strong and multifunctional nano-nickel aerogels based epoxy composites for ultra-high electromagnetic interference shielding and thermal management. J Mater Res Technol. 2023;24:964456. [DOI]
    Verma R, Thakur P, Chauhan A, Jasrotia R, Thakur A. A review on MXene and its’ composites for electromagnetic interference (EMI) shielding applications. Carbon. 2023;208:17090. [DOI]
    Durdik M, Kosik P, Markova E, Somsedikova A, Gajdosechova B, Nikitina E, et al. Microwaves from mobile phone induce reactive oxygen species but not DNA damage, preleukemic fusion genes and apoptosis in hematopoietic stem/progenitor cells. Sci Rep. 2019;9:16182. [DOI] [PubMed] [PMC]