Modeling and characterization of the implant intra-body communication based on capacitive coupling using a transfer function method
Open accessAbstract
Implantable devices have important applications in biomedical sensor networks used for biomedical monitoring, diagnosis and treatment, etc. In this paper, an implant intra-body communication (IBC) method based on capacitive coupling has been proposed, and the modeling and characterization of this kind of IBC has been investigated. Firstly, the transfer function of the implant IBC based on capacitive coupling was derived. Secondly, the corresponding parameters of the transfer function are discussed. Finally, both measurements and simulations based on the proposed transfer function were carried out, while some important conclusions have been achieved, which indicate that the achieved transfer function and conclusions are able to help to achieve an implant communication method with the highly desirable characteristics of low power consumption, high data rate, high transmission quality, etc.
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The operating frequency range for implant intra-body communication (IBC) is typically between 3 and 10 MHz, but can vary depending on the specific application and circuit design.
“Beyond SAR, it is crucial to consider the operating frequency range, which for implant intra-body communication (IBC) is typically between 3 and 10 MHz. However, this range can vary depending on the specific application and circuit design, further emphasizing the need for optimal parameter selection (Zhang et al., 2014).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Zhang et al., 2014
The Experiments and Discussion section reports relatively low, stable attenuation at 3–10 MHz for the paper’s proposed capacitive-coupling method. It does not establish that 3–10 MHz is the typical operating range for implant IBC generally, or that the range varies by application and circuit design; the study measured frequencies from 100 kHz to 40 MHz (page not specified in our copy). (LLM, conf=0.86)
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Cites
Gabriel, S., Lau, R. W., & Gabriel, C. (1996) · Physics in Medicine and Biology · doi:10.1088/0031-9155/41/11/003 · Cited by 4,175 · see citing works
The Human Body Characteristics as a Signal Transmission Medium for Intrabody Communication
Cho, N., Yoo, J., Song, S.-J., Lee, J., Jeon, S., & Yoo, H. (2007) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/tmtt.2007.895640 · Cited by 355 · see citing works
A Survey on Intrabody Communications for Body Area Network Applications
Seyedi, M., Kibret, B., Lai, D. T. H., & Faulkner, M. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2254714 · Cited by 328 · see citing works
Personal area networks (PAN) : near-field intra-body communication
Zimmerman, T. G. (1995) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 257 · see citing works
A Near-Field-Sensing Transceiver for Intrabody Communication Based on the Electrooptic Effect
Shinagawa, M., Fukumoto, M., Ochiai, K., & Kyuragi, H. (2004) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2004.834064 · Cited by 200 · see citing works
A Capacitive Intrabody Communication Channel from 100 kHz to 100 MHz
Vasić, Ž. L., Krois, I., & Cifrek, M. (2012) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2012.2205491 · Cited by 123 · see citing works
Electric-Field Intrabody Communication Channel Modeling With Finite-Element Method
Xu, R., Zhu, H., & Yuan, J. G. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2093933 · Cited by 120 · see citing works
Distributed Circuit Modeling of Galvanic and Capacitive Coupling for Intrabody Communication
Callejón-Leblic, M. A., Naranjo-Hernández, D., Reina‐Tosina, J., & Roa, L. M. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2205382 · Cited by 115 · see citing works
Intra-body communication for biomedical sensor networks
Wegmüller, M. S. (2007) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-a-005479240 · Cited by 98 · see citing works
Song, Y., Hao, Q., Zhang, K., Wang, M., Chu, Y., & Kang, B. (2010) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2010.2087870 · Cited by 91 · see citing works
Self-citationGalvanic Coupling Enabling Wireless Implant Communications
Wegmueller, M. S., Huclova, S., Froehlich, J., Oberle, M., Felber, N., Kuster, N., & Fichtner, W. (2009) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2009.2015639 · Cited by 80 · see citing works
Simplified circuit modeling and fabrication of intrabody communication devices
Hachisuka, K., Terauchi, Y., Kishi, Y., Sasaki, K., Hirota, T., Hosaka, H., Fujii, K., Takahashi, M., & Ito, K. (2006) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2006.04.044 · Cited by 77 · see citing works
Principles and Demonstration of Intrabody Communication With a Sensitive Electrooptic Sensor
Sasaki, A.-I., Shinagawa, M., & Ochiai, K. (2008) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2008.2003307 · Cited by 59 · see citing works
A 0.5-V Biomedical System-on-a-Chip for Intrabody Communication System
Lin, Y., Lin, Y., Chen, C., Chen, H., Yang, Y.-C., & Lu, S. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2046571 · Cited by 54 · see citing works
Capacitance calculations for some basic high voltage electrode configurations
Maruvada, P. S., & Hylten-cavallius, N. (1975) · IEEE Transactions on Power Apparatus and Systems · doi:10.1109/t-pas.1975.32014 · Cited by 48 · see citing works
Study of Attenuation and Dispersion Through the Skin in Intrabody Communications Systems
Callejón-Leblic, M. A., Roa, L. M., Reina‐Tosina, J., & Naranjo-Hernández, D. (2011) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2011.2171702 · Cited by 41 · see citing works
Chen, X., Mak, P. U., Pun, S. H., Gao, Y., Lam, C., Vai, M. I., & Du, M. (2012) · Sensors · doi:10.3390/s121216433 · Cited by 37 · see citing works
Networking issues in medical implant communications
Zhen, B., Li, H.-B., & Kohno, R. (2011) · Cited by 32 · see citing works
Transmission Mechanism of Wearable Device for On-Body Wireless Communications
Sasamori, T., Takahashi, M., & Uno, T. (2009) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2009.2014575 · Cited by 25 · see citing works
Circuit-coupled FEM analysis of the electric-field type intra-body communication channel
Xu, R., Zhu, H., & Yuan, J. G. (2009) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2009.5372045 · Cited by 24 · see citing works
A capacitive intrabody communication channel from 100 kHz to 100 MHz
Vasić, Ž. L., Krois, I., & Cifrek, M. (2011) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/imtc.2011.5944311 · Cited by 23 · see citing works
Distributed MAC and rate adaptation for ultrasonically networked implantable sensors
Santagati, G. E., Melodia, T., Galluccio, L., & Palazzo, S. (2013) · IEEE International Conference on Sensing, Communication, and Networking (SECON) · doi:10.1109/sahcn.2013.6644968 · Cited by 21 · see citing works
Energy harvesting from human body for biomedical autonomous systems
Amor, N. B., Kanoun, O., Lay-Ekuakille, A., Specchia, G., Vendramin, G., & Trotta, A. (2008) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/icsens.2008.4716532 · Cited by 18 · see citing works
Handbook of Research on Developments in E-Health and Telemedicine
Cruz-Cunha, M. M., Tavares, A. J., & Simoes, R. (2010) · IGI Global eBooks · doi:10.4018/978-1-61520-670-4 · Cited by 17 · see citing works
Song, Y., Zhang, K., Hao, Q., & Rolland, J. P. (2012) · Optics Express · doi:10.1364/oe.20.013488 · Cited by 16 · see citing works
Self-citationQuasi-Static Field Modeling and Validation for Intra-Body Communication
Gao, Y., Pun, S. H., Du, M., Vai, M. I., & Mak, P. U. (2009) · International Conference on Bioinformatics and Biomedical Engineering · doi:10.1109/icbbe.2009.5163276 · Cited by 13 · see citing works
Node and mesh analysis by inspection
Gottling, J. G. (1995) · IEEE Transactions on Education · doi:10.1109/13.473148 · Cited by 13 · see citing works
Song, Y., Hao, Q., Zhang, K., Wang, J., Jin, X., & Sun, H. (2012) · Sensors · doi:10.3390/s121216557 · Cited by 10 · see citing works
Self-citationInvestigation on Coupling Strategies for Wireless Implant Communications
Wegmueller, M. S., Hediger, M., Kaufmann, T., Oberle, M., Kuster, N., & Fichtner, W. (2007) · Conference proceedings - IEEE Instrumentation/Measurement Technology Conference · doi:10.1109/imtc.2007.379310 · Cited by 8 · see citing works
Intrabody Communications (IBC) as an Alternative Proposal for Biomedical Wearable Systems
Estudillo‐Valderrama, M. Á., Naranjo, D., Roa, L. M., & Reina‐Tosina, J. (2010) · IGI Global eBooks · doi:10.4018/978-1-61520-670-4.ch001 · Cited by 6 · see citing works
Design of an energy harvesting conditioning unit for hearing aids
Lay-Ekuakille, A., Vendramin, G., & Trotta, A. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4649660 · Cited by 5 · see citing works
Flagged first, then by citations
1 of the 32 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Santagati, G. E., & Melodia, T. (2016) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2016.2561277 · Cited by 85 · see citing works
Santagati, G. E., Dave, N., & Melodia, T. (2020) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2019.2949805 · Cited by 68 · see citing works
Past Results, Present Trends, and Future Challenges in Intrabody Communication
Naranjo-Hernández, D., Callejón-Leblic, M. A., Vasić, Ž. L., Seyedi, M., & Gao, Y. (2018) · Wireless Communications and Mobile Computing · doi:10.1155/2018/9026847 · Cited by 63 · see citing works
Li, M., Song, Y., Hou, Y., Li, N., Jiang, Y., Sulaman, M., & Hao, Q. (2019) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2019.2940827 · Cited by 45 · see citing works
Self-citationCharacterization of In-Body Radio Channels for Wireless Implants
Li, J., Nie, Z., Liu, Y., Wang, L., & Hao, Y. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2635700 · Cited by 44 · see citing works
Self-citationMonitoring of Drug Release via Intra Body Communication with an Edible Pill
Lamanna, L., Cataldi, P., Friuli, M., Demitri, C., & Caironi, M. (2022) · Advanced Materials Technologies · doi:10.1002/admt.202200731 · Cited by 40 · see citing works
Čuljak, I., Vasić, Ž. L., Mihaldinec, H., & Džapo, H. (2020) · Sensors · doi:10.3390/s20123587 · Cited by 39 · see citing works
Low-Power, High Data-Rate Digital Capsule Endoscopy Using Human Body Communication
Park, M. J., Kang, T., Lim, I. G., Oh, K., Kim, S., Lee, J., & Park, H.-I. (2018) · Applied Sciences · doi:10.3390/app8091414 · Cited by 36 · see citing works
Vizziello, A., Magarini, M., Savazzi, P., & Galluccio, L. (2023) · Computer Networks · doi:10.1016/j.comnet.2023.109718 · Cited by 36 · see citing works
Experimental Channel Characterization of Human Body Communication Based on Measured Impulse Response
Vizziello, A., Savazzi, P., Guerra, R. R., & Dell’Acqua, F. (2024) · IEEE Transactions on Communications · doi:10.1109/tcomm.2024.3370468 · Cited by 22 · see citing works
Comparative analysis of energy transfer mechanisms for neural implants
Miziev, S., Pawlak, W. A., & Howard, N. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1320441 · Cited by 21 · see citing works
Shi, L., Gao, Y., Cai, J., Vasić, Ž. L., Vai, M. I., Du, M., Cifrek, M., & Pun, S. H. (2017) · Wireless Communications and Mobile Computing · doi:10.1155/2017/8674035 · Cited by 11 · see citing works
Ma, C., Huang, Z., Wang, Z., Zhou, L., & Li, Y. (2017) · Sensors · doi:10.3390/s17092056 · Cited by 8 · see citing works
Vasić, Ž. L., Cifrek, M., Gao, Y., & Du, M. (2020) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc43012.2020.9128564 · Cited by 7 · see citing works
IC-Based Rectification Circuit Techniques for Biomedical Energy-Harvesting Applications
Gong, C. A. (2022) · Micromachines · doi:10.3390/mi13030411 · Cited by 5 · see citing works
Modeling and characterization of different channels based on human body communication
Li, J., Nie, Z., Liu, Y., & Wang, L. (2017) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8036921 · Cited by 5 · see citing works
Self-citationZhang, K., Song, Y., & Peng, J. (2018) · IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) · doi:10.1109/imcec.2018.8469487 · Cited by 3 · see citing works
Self-citationDesign of a floating-ground-electrode circuit for measuring attenuation of the human body channel
Zhang, Y., Gao, Z., Liu, W., Gao, Y., & Du, M. (2019) · Technology and Health Care · doi:10.3233/thc-181533 · Cited by 2 · see citing works
Energy-Efficient Data Transmission for Capacitive-Coupled Human Body Communication Systems
Filipović, L., Herceg, M., Vlaović, J., & Başar, E. (2021) · IEEE Sensors Letters · doi:10.1109/lsens.2021.3116354 · Cited by 2 · see citing works
Roglić, M., Gao, Y., Artić, I., & Vasić, Ž. L. (2023) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea57477.2023.10171879 · Cited by 2 · see citing works
Inductance Index Modulation for Human Body Communication Systems
Herceg, M., Filipović, L., Matić, T., & Kaddoum, G. (2019) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2019.2900611 · Cited by 2 · see citing works
Roglić, M., Klaić, L., Wei, Z., Gao, Y., & Vasić, Ž. L. (2024) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-031-61625-9_23 · Cited by 1 · see citing works
Roglić, M., Gao, Y. M., & Vasić, Ž. L. (2025) · Bioengineering · doi:10.3390/bioengineering13010042 · Cited by 1 · see citing works
Li, D., Wang, J., Wang, H., Huang, X., Yang, J., Gao, Y., Li, H.-C., Vai, M. I., & Pun, S. H. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3555701 · Cited by 1 · see citing works
Self-citationDesign and feasibility study of human body communication transceiver based on FDM
Liu, W., Gao, Y., Jiang, R., Chen, X., Gao, Z., Zhang, Y., & Du, M. (2018) · Technology and Health Care · doi:10.3233/thc-181385 · Cited by 1 · see citing works
Zhao, M., & Blick, R. H. (2018) · IEEE Access · doi:10.1109/access.2018.2874627 · Cited by 1 · see citing works
An Investigation on Propagation Characteristics of In-body Radio Channels for Wireless Implants
Li, J., Nie, Z., Liu, Y., Wang, L., & Hao, Y. (2018) · Digest - IEEE Antennas and Propagation Society. International Symposium · doi:10.1109/apusncursinrsm.2018.8609090 · Cited by 1 · see citing works
Self-citationIn-vivo Network of Sensors and ActuatorsPreprint
Zhao, M., & Blick, R. H. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1412.4168
Characterization and analysis of dynamic implant communication channels based on inhomogeneous model
Li, J., Liu, Y., Ma, J., Nie, Z., & Wang, L. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7591107
Self-citationAn investigation on in-body radio channels based on inhomogeneous model
Li, J., Nie, Z., Liu, Y., Wang, L., & Hao, Y. (2017) · Digest - IEEE Antennas and Propagation Society. International Symposium · doi:10.1109/apusncursinrsm.2017.8072884
Self-citationAn intra-body communication research platform based on virtual instrument
Shi, L., Yueming, G., Hengfei, Z., Vasić, Ž. L., Vai, M. I., Du, M., Cifrek, M., & Pun, S. H. (2017) · IEEE International Conference on Electronic Measurement & Instruments · doi:10.1109/icemi.2017.8265866
- Authors
- Zhang, K., Hao, Q., Song, Y., Wang, J., Huang, R., & Liu, Y.
- Affiliations
- Beijing Institute of Technology (CN)
- Corresponding author
- Hao, Qun
- Song, Yong
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2014-01-20
- Volume
- 14
- Issue
- 1
- Pages
- 1740-1756
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC3926636
- OpenAlex
- W1992533865
- Cited by
- 33
- References
- 32
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 2 · 2020: 3 · 2019: 3 · 2018: 6 · 2017: 5 · 2016: 3 · 2014: 1
- FWCI
- 1.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Engineering › Biomedical Engineering › Molecular Communication and Nanonetworks
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- capacitive coupling, transfer function, biomedical implants, biomedical sensor networks, low power consumption, high-speed data transmission, transmission quality
- MeSH terms
- Humans, Telemetry, Biosensing Techniques, Monitoring, Ambulatory
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