Pub Date : 2016-05-22DOI: 10.1109/ISCAS.2016.7538940
Zhizhen Wu, Chuan Zhang, Ye Xue, Shugong Xu, X. You
In massive multiple-input multiple-output (MIMO) uplink, the minimum mean square error (MMSE) algorithm is near-optimal and linear, but still suffers from high-complexity of matrix inversion. Based on Gauss-Seidel (GS) method, an efficient architecture for massive MIMO soft-output detection is proposed in this paper. To further accelerate the convergence rate of the conventional GS method with acceptable overhead complexity, a truncated Neumann series of the first 2 terms, is employed for initialization. The architecture can meet various application requirements by flexibly adjusting the number of iterations. FPGA implementation for a 128 × 8 MIMO demonstrates its advantages in both hardware efficiency and flexibility.
{"title":"Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method","authors":"Zhizhen Wu, Chuan Zhang, Ye Xue, Shugong Xu, X. You","doi":"10.1109/ISCAS.2016.7538940","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7538940","url":null,"abstract":"In massive multiple-input multiple-output (MIMO) uplink, the minimum mean square error (MMSE) algorithm is near-optimal and linear, but still suffers from high-complexity of matrix inversion. Based on Gauss-Seidel (GS) method, an efficient architecture for massive MIMO soft-output detection is proposed in this paper. To further accelerate the convergence rate of the conventional GS method with acceptable overhead complexity, a truncated Neumann series of the first 2 terms, is employed for initialization. The architecture can meet various application requirements by flexibly adjusting the number of iterations. FPGA implementation for a 128 × 8 MIMO demonstrates its advantages in both hardware efficiency and flexibility.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"99 1","pages":"1886-1889"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80924579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-22DOI: 10.1109/ISCAS.2016.7538925
R. Thewes, G. Bertotti, N. Dodel, S. Keil, S. Schroder, K. Boven, G. Zeck, M. Mahmud, S. Vassanelli
An overview and introduction is given concerning CMOS chips used for neural tissue interfacing. Some basics in the biological domain are discussed as well as extracellular neural tissue interfacing approaches, design philosophies applied to high spatiotemporal resolution devices, in-vitro and in-vivo applications, and related challenges in the engineering domain.
{"title":"Neural tissue and brain interfacing CMOS devices — An introduction to state-of-the-art, current and future challenges","authors":"R. Thewes, G. Bertotti, N. Dodel, S. Keil, S. Schroder, K. Boven, G. Zeck, M. Mahmud, S. Vassanelli","doi":"10.1109/ISCAS.2016.7538925","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7538925","url":null,"abstract":"An overview and introduction is given concerning CMOS chips used for neural tissue interfacing. Some basics in the biological domain are discussed as well as extracellular neural tissue interfacing approaches, design philosophies applied to high spatiotemporal resolution devices, in-vitro and in-vivo applications, and related challenges in the engineering domain.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"26 1","pages":"1826-1829"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81217846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-22DOI: 10.1109/ISCAS.2016.7539063
D. Jiang, C. Eder, T. Perkins, A. Vanhoestenberghe, Matthew Schormans, Fangqi Liu, V. Valente, N. Donaldson, A. Demosthenous
A fully implantable multi-channel neural prosthesis for epidural stimulation will be demonstrated. The prosthesis features three telemetry-operated independent stimulators providing in total eighteen stimulation channels. The stimulator circuits were implemented in a 0.6-μm CMOS technology. The prosthesis is protected in a hermetically sealed ceramic enclosure and encapsulated in medical grade silicone rubber for long-term implantation. During the live demonstration in-vitro tests with electrodes in saline will be performed with the prosthesis operated wirelessly from a remote computer.
{"title":"Live demonstration: An implantable wireless multi-channel neural prosthesis for epidural stimulation","authors":"D. Jiang, C. Eder, T. Perkins, A. Vanhoestenberghe, Matthew Schormans, Fangqi Liu, V. Valente, N. Donaldson, A. Demosthenous","doi":"10.1109/ISCAS.2016.7539063","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7539063","url":null,"abstract":"A fully implantable multi-channel neural prosthesis for epidural stimulation will be demonstrated. The prosthesis features three telemetry-operated independent stimulators providing in total eighteen stimulation channels. The stimulator circuits were implemented in a 0.6-μm CMOS technology. The prosthesis is protected in a hermetically sealed ceramic enclosure and encapsulated in medical grade silicone rubber for long-term implantation. During the live demonstration in-vitro tests with electrodes in saline will be performed with the prosthesis operated wirelessly from a remote computer.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"25 1","pages":"2372-2372"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79850668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-22DOI: 10.1109/ISCAS.2016.7527162
Li Zhang, Z. Fu, S. Chan, H. C. Wu, Z. G. Zhang
Studies of time-varying or dynamic brain connectivity (BC) using functional magnetic resonance imaging (fMRI) are crucial to understand the relationship between different brain regions. This paper presents a novel method for estimating dynamic BC using a time-varying multivariate autoregressive (AR) model with spatial sparsity and temporal continuity constraints. The problem is formulated as a maximum a posterior probability (MAP) estimation problem and solved as a least square problem with Li-regularization for imposing the constraints. The Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method is employed to estimate the model parameters for making inference of dynamic BC. The proposed method was evaluated using synthetic data and visual checkerboard task experiment fMRI data. The results show that the method can effectively capture transient information transfer among visual-related brain regions whereas controlled areas not related to the process remain inactive. These verify the effectiveness and reduced variance of the proposed method for investigating dynamic task-related BC from fMRI data.
{"title":"A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data","authors":"Li Zhang, Z. Fu, S. Chan, H. C. Wu, Z. G. Zhang","doi":"10.1109/ISCAS.2016.7527162","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7527162","url":null,"abstract":"Studies of time-varying or dynamic brain connectivity (BC) using functional magnetic resonance imaging (fMRI) are crucial to understand the relationship between different brain regions. This paper presents a novel method for estimating dynamic BC using a time-varying multivariate autoregressive (AR) model with spatial sparsity and temporal continuity constraints. The problem is formulated as a maximum a posterior probability (MAP) estimation problem and solved as a least square problem with Li-regularization for imposing the constraints. The Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method is employed to estimate the model parameters for making inference of dynamic BC. The proposed method was evaluated using synthetic data and visual checkerboard task experiment fMRI data. The results show that the method can effectively capture transient information transfer among visual-related brain regions whereas controlled areas not related to the process remain inactive. These verify the effectiveness and reduced variance of the proposed method for investigating dynamic task-related BC from fMRI data.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"15 1","pages":"29-32"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79858774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-22DOI: 10.1109/ISCAS.2016.7527292
Nicola Bertoni, Bathiya Senevirathna, Fabio Pareschi, Mauro Mangia, R. Rovatti, P. Abshire, J. Simon, G. Setti
Wireless sensor nodes capable of acquiring and transmitting biosignals are increasingly important to address future needs in healthcare monitoring. One of the main issues in designing these systems is the unavoidable energy constraint due to the limited battery lifetime, which strictly limits the amount of data that may be transmitted. Compressed Sensing (CS) is an emerging technique for introducing low-power, real-time compression of the acquired signals before transmission. The recently developed rakeness approach is capable of further increasing CS performance. In this paper we apply the rakeness-CS technique to enhance compression capabilities for electroencephalographic (EEG) signals, and particularly for Evoked Potentials (EP), which are recordings of the neural activity evoked by the presentation of a stimulus. Simulation results demonstrate that EPs are correctly reconstructed using rakeness-CS with a compression factor of 16. Additionally, some interesting denoising capabilities are identified: the high-frequency noise components are rejected and the 60 Hz power line noise is decreased by more than 20dB with respect to the state-of-the-art filtering when rakeness-CS techniques are applied to the EEG data stream.
{"title":"Low-power EEG monitor based on compressed sensing with compressed domain noise rejection","authors":"Nicola Bertoni, Bathiya Senevirathna, Fabio Pareschi, Mauro Mangia, R. Rovatti, P. Abshire, J. Simon, G. Setti","doi":"10.1109/ISCAS.2016.7527292","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7527292","url":null,"abstract":"Wireless sensor nodes capable of acquiring and transmitting biosignals are increasingly important to address future needs in healthcare monitoring. One of the main issues in designing these systems is the unavoidable energy constraint due to the limited battery lifetime, which strictly limits the amount of data that may be transmitted. Compressed Sensing (CS) is an emerging technique for introducing low-power, real-time compression of the acquired signals before transmission. The recently developed rakeness approach is capable of further increasing CS performance. In this paper we apply the rakeness-CS technique to enhance compression capabilities for electroencephalographic (EEG) signals, and particularly for Evoked Potentials (EP), which are recordings of the neural activity evoked by the presentation of a stimulus. Simulation results demonstrate that EPs are correctly reconstructed using rakeness-CS with a compression factor of 16. Additionally, some interesting denoising capabilities are identified: the high-frequency noise components are rejected and the 60 Hz power line noise is decreased by more than 20dB with respect to the state-of-the-art filtering when rakeness-CS techniques are applied to the EEG data stream.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"36 1","pages":"522-525"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76761339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-22DOI: 10.1109/ISCAS.2016.7538876
Stefan Ditze, Achim Endruschat, T. Schriefer, A. Rosskopf, T. Heckel
This paper examines an inductive power transfer (IPT) system with a rotary transformer as an alternative solution to slip ring systems for a contactless energy transfer to rotating equipment. A prototype system is set up, consisting of a rotating ball bearing shaft and an exemplary sensor circuit mounted on the shaft. Three possible transformer configurations are analyzed theoretically and experimentally regarding the self-inductance, the coupling factor and the losses in the litz wire. To utilize the intrinsic stray inductances of the rotary transformer, a series compensated resonant converter is implemented for the prototype system.
{"title":"Inductive power transfer system with a rotary transformer for contactless energy transfer on rotating applications","authors":"Stefan Ditze, Achim Endruschat, T. Schriefer, A. Rosskopf, T. Heckel","doi":"10.1109/ISCAS.2016.7538876","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7538876","url":null,"abstract":"This paper examines an inductive power transfer (IPT) system with a rotary transformer as an alternative solution to slip ring systems for a contactless energy transfer to rotating equipment. A prototype system is set up, consisting of a rotating ball bearing shaft and an exemplary sensor circuit mounted on the shaft. Three possible transformer configurations are analyzed theoretically and experimentally regarding the self-inductance, the coupling factor and the losses in the litz wire. To utilize the intrinsic stray inductances of the rotary transformer, a series compensated resonant converter is implemented for the prototype system.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"19 1","pages":"1622-1625"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76789683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-22DOI: 10.1109/ISCAS.2016.7527326
V. Talla, V. Ranganathan, Brody J. Mahoney, Joshua R. Smith
Implantable neural recording and stimulation devices hold great promise in monitoring and treatment of neurological disorders, limb reanimation and, development of brain-computer interfaces among other applications. However, transcutaneous wires limit the lifetime of such devices and there is a need for self-contained fully implantable solutions. In this work, we propose a novel dual-frequency approach for simultaneous wireless power transfer and low-power communication for small form factor fully implantable neural devices. We deliver wireless power using efficient magnetically coupled resonators operating at 13.56MHz and communicate using ultra-low power backscatter communication at 915 MHz. We leverage the frequency separation to combine wireless power and communication resonators with minimal interference using a novel concentric design, which meets the stringent size restrictions. We implement the wireless power receiver and communication front end of the implanted device in 65 nm CMOS and demonstrate 25 mW power delivery and 6 Mbps communication link.
{"title":"Dual band wireless power and bi-directional data link for implanted devices in 65 nm CMOS","authors":"V. Talla, V. Ranganathan, Brody J. Mahoney, Joshua R. Smith","doi":"10.1109/ISCAS.2016.7527326","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7527326","url":null,"abstract":"Implantable neural recording and stimulation devices hold great promise in monitoring and treatment of neurological disorders, limb reanimation and, development of brain-computer interfaces among other applications. However, transcutaneous wires limit the lifetime of such devices and there is a need for self-contained fully implantable solutions. In this work, we propose a novel dual-frequency approach for simultaneous wireless power transfer and low-power communication for small form factor fully implantable neural devices. We deliver wireless power using efficient magnetically coupled resonators operating at 13.56MHz and communicate using ultra-low power backscatter communication at 915 MHz. We leverage the frequency separation to combine wireless power and communication resonators with minimal interference using a novel concentric design, which meets the stringent size restrictions. We implement the wireless power receiver and communication front end of the implanted device in 65 nm CMOS and demonstrate 25 mW power delivery and 6 Mbps communication link.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"1 1","pages":"658-661"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82154079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-22DOI: 10.1109/ISCAS.2016.7527242
Stefano Caviglia, L. Pinna, M. Valle, C. Bartolozzi
We present an event-driven tactile sensing element that encodes both the absolute value of the input force and its variation over time. It is based on the POSFET device and Leaky-Integrate and Fire neurons, connected by a transconductance amplifier; the proposed circuit exploits the advantages of the POSFET device, such as high integration scale, fast response, wide bandwidth and force sensitivity, as well as the advantages of event-driven encoding, such as low latency, low power dissipation, and high temporal resolution, coupled with redundancy reduction.
{"title":"An event-driven POSFET taxel for sustained and transient sensing","authors":"Stefano Caviglia, L. Pinna, M. Valle, C. Bartolozzi","doi":"10.1109/ISCAS.2016.7527242","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7527242","url":null,"abstract":"We present an event-driven tactile sensing element that encodes both the absolute value of the input force and its variation over time. It is based on the POSFET device and Leaky-Integrate and Fire neurons, connected by a transconductance amplifier; the proposed circuit exploits the advantages of the POSFET device, such as high integration scale, fast response, wide bandwidth and force sensitivity, as well as the advantages of event-driven encoding, such as low latency, low power dissipation, and high temporal resolution, coupled with redundancy reduction.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"4 1","pages":"349-352"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82572197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-22DOI: 10.1109/ISCAS.2016.7539023
Lijuan Xie, Xianguo Zhang, Shiqi Wang, Xinfeng Zhang, Siwei Ma
Recently, an increasing number of tone-mapping operators (TMOs) have been proposed in order to display high dynamic nge (HDR) images on low dynamic range (LDR) devices. Developing perceptually consistent image quality assessment (QA) measures for TMO is highly desired because traditional LDR based IQA methods cannot support the cross dynamic range quality comparison. In this paper, a novel objective quality assessment method is proposed on the basis of sparse-domain representation, which has been well advocated as a powerful tool in describing natural sparse signals with the over-complete dictionary. Specifically, two indices, incorporating both local and global features extracted from sparsely represented coefficients, are introduced to simulate the human visual system (HVS) characteristics on HDR images. The local feature measures the sparse-domain similarity between the pristine HDR and tone-mapped L R images by leveraging the intrinsic structure with sparse coding. On the other hand, benefiting from the natural scene statistics (NSS), the global features are recovered from the sparse coefficients to account for the natural behaviors of tone-mapped images. Combining the local sparse-domain similarity and the global “naturalness” prior, validations on the public database show that the proposed sparse-domain model for tone-mapped images (SMTI) provides accurate predictions on the human perception of tone-mapped images.
{"title":"Quality assessment of tone-mapped images based on sparse representation","authors":"Lijuan Xie, Xianguo Zhang, Shiqi Wang, Xinfeng Zhang, Siwei Ma","doi":"10.1109/ISCAS.2016.7539023","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7539023","url":null,"abstract":"Recently, an increasing number of tone-mapping operators (TMOs) have been proposed in order to display high dynamic nge (HDR) images on low dynamic range (LDR) devices. Developing perceptually consistent image quality assessment (QA) measures for TMO is highly desired because traditional LDR based IQA methods cannot support the cross dynamic range quality comparison. In this paper, a novel objective quality assessment method is proposed on the basis of sparse-domain representation, which has been well advocated as a powerful tool in describing natural sparse signals with the over-complete dictionary. Specifically, two indices, incorporating both local and global features extracted from sparsely represented coefficients, are introduced to simulate the human visual system (HVS) characteristics on HDR images. The local feature measures the sparse-domain similarity between the pristine HDR and tone-mapped L R images by leveraging the intrinsic structure with sparse coding. On the other hand, benefiting from the natural scene statistics (NSS), the global features are recovered from the sparse coefficients to account for the natural behaviors of tone-mapped images. Combining the local sparse-domain similarity and the global “naturalness” prior, validations on the public database show that the proposed sparse-domain model for tone-mapped images (SMTI) provides accurate predictions on the human perception of tone-mapped images.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"32 1","pages":"2218-2221"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81376021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-22DOI: 10.1109/ISCAS.2016.7539159
Kara N. Bocan, E. Sejdić
Wireless transcutaneous power transfer and communication has the potential to reduce the size of implantable medical devices, thereby reducing patient discomfort and minimizing the tissue area exposed to foreign material. Electromagnetic transmission mechanisms through tissue are determined by tissue structure and associated frequency-dependent tissue properties, which are significant in the design of wireless implantable medical devices. The purpose of this study was to investigate the effects of varying tissue dielectric properties on maximum power transfer to a subcutaneously implanted device in a paired electrode system designed for use in proximity to metallic orthopedic implants. The transcutaneous system including external and implanted electrode pairs was simulated at several radio frequencies (125 kHz, 1 MHz, 13.56 MHz, 403 MHz, and 915 MHz) while varying the dielectric properties of the tissue medium over a range of physiological values. Maximum power transfer was calculated to represent the best-case power gain across the range of tissue properties and frequencies, and greater achievable efficiencies were seen with higher quality factor as a function of the tissue properties. The results suggest that in the paired electrode system, utilization of capacitive coupling allows the system to function in proximity to metallic surfaces such as orthopedic implants. The results also suggest that higher power gains are possible through a choice of implant location based on expected tissue properties.
{"title":"Transmission mechanisms with variable tissue properties in a paired electrode system for transcutaneous power","authors":"Kara N. Bocan, E. Sejdić","doi":"10.1109/ISCAS.2016.7539159","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7539159","url":null,"abstract":"Wireless transcutaneous power transfer and communication has the potential to reduce the size of implantable medical devices, thereby reducing patient discomfort and minimizing the tissue area exposed to foreign material. Electromagnetic transmission mechanisms through tissue are determined by tissue structure and associated frequency-dependent tissue properties, which are significant in the design of wireless implantable medical devices. The purpose of this study was to investigate the effects of varying tissue dielectric properties on maximum power transfer to a subcutaneously implanted device in a paired electrode system designed for use in proximity to metallic orthopedic implants. The transcutaneous system including external and implanted electrode pairs was simulated at several radio frequencies (125 kHz, 1 MHz, 13.56 MHz, 403 MHz, and 915 MHz) while varying the dielectric properties of the tissue medium over a range of physiological values. Maximum power transfer was calculated to represent the best-case power gain across the range of tissue properties and frequencies, and greater achievable efficiencies were seen with higher quality factor as a function of the tissue properties. The results suggest that in the paired electrode system, utilization of capacitive coupling allows the system to function in proximity to metallic surfaces such as orthopedic implants. The results also suggest that higher power gains are possible through a choice of implant location based on expected tissue properties.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"13 1","pages":"2739-2742"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81868580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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