IEEE Transactions on Biomedical Circuits and Systems最新文献_第5页

A High-Voltage-Tolerant and Precise Charge-Balanced Neuro-Stimulator in Low Voltage CMOS Process 低压CMOS工艺中一种高容压精确电荷平衡神经刺激器

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-03-24 DOI: 10.1109/TBCAS.2015.2512443

Zhicong Luo, M. Ker

引用次数: 36

Wireless Multichannel Neural Recording With a 128-Mbps UWB Transmitter for an Implantable Brain-Machine Interfaces 无线多通道神经记录与128-Mbps超宽带发射机为植入式脑机接口

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-02-26 DOI: 10.1109/TBCAS.2016.2514522

H. Ando, K. Takizawa, Takeshi Yoshida, Kojiro Matsushita, M. Hirata, Takafumi Suzuki

{"title":"Wireless Multichannel Neural Recording With a 128-Mbps UWB Transmitter for an Implantable Brain-Machine Interfaces","authors":"H. Ando, K. Takizawa, Takeshi Yoshida, Kojiro Matsushita, M. Hirata, Takafumi Suzuki","doi":"10.1109/TBCAS.2016.2514522","DOIUrl":"https://doi.org/10.1109/TBCAS.2016.2514522","url":null,"abstract":"Simultaneous recordings of neural activity at large scale, in the long term and under bio-safety conditions, can provide essential data. These data can be used to advance the technology for brain-machine interfaces in clinical applications, and to understand brain function. For this purpose, we present a new multichannel neural recording system that can record up to 4096-channel (ch) electrocorticogram data by multiple connections of customized application-specific integrated circuits (ASICs). The ASIC includes 64-ch low-noise amplifiers, analog time-division multiplexers, and 12-bit successive approximation register ADCs. Recorded data sampled at a rate of 1 kS/s are multiplexed with time division via an integrated multiplex board, and in total 51.2 Mbps of raw data for 4096 ch are generated. This system has an ultra-wideband (UWB) wireless unit for transmitting the recorded neural signals. The ASICs, multiplex boards, and UWB transmitter unit are designed with the aim of implanting them. From preliminary experiments with a human body-equivalent liquid phantom, we confirmed 4096-ch UWB wireless data transmission at 128 Mbps for distances below 20 mm .","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2016-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2016.2514522","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62965764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 68

Smart Multi-Frequency Bioelectrical Impedance Spectrometer for BIA and BIVA Applications 用于BIA和BIVA应用的智能多频生物电阻抗光谱仪

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-02-03 DOI: 10.1109/TBCAS.2015.2502538

Rene Harder, A. Diedrich, Jonathan S. Whitfield, M. Buchowski, J. Pietsch, F. Baudenbacher

{"title":"Smart Multi-Frequency Bioelectrical Impedance Spectrometer for BIA and BIVA Applications","authors":"Rene Harder, A. Diedrich, Jonathan S. Whitfield, M. Buchowski, J. Pietsch, F. Baudenbacher","doi":"10.1109/TBCAS.2015.2502538","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2502538","url":null,"abstract":"Bioelectrical impedance analysis (BIA) is a noninvasive and commonly used method for the assessment of body composition including body water. We designed a small, portable and wireless multi-frequency impedance spectrometer based on the 12 bit impedance network analyzer AD5933 and a precision wide-band constant current source for tetrapolar whole body impedance measurements. The impedance spectrometer communicates via Bluetooth with mobile devices (smart phone or tablet computer) that provide user interface for patient management and data visualization. The export of patient measurement results into a clinical research database facilitates the aggregation of bioelectrical impedance analysis and biolectrical impedance vector analysis (BIVA) data across multiple subjects and/or studies. The performance of the spectrometer was evaluated using a passive tissue equivalent circuit model as well as a comparison of body composition changes assessed with bioelectrical impedance and dual-energy X-ray absorptiometry (DXA) in healthy volunteers. Our results show an absolute error of 1% for resistance and 5% for reactance measurements in the frequency range of 3 kHz to 150 kHz. A linear regression of BIA and DXA fat mass estimations showed a strong correlation (r2=0.985) between measures with a maximum absolute error of 6.5%. The simplicity of BIA measurements, a cost effective design and the simple visual representation of impedance data enables patients to compare and determine body composition during the time course of a specific treatment plan in a clinical or home environment.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2016-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2502538","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62965423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 28

An Autonomous Wireless Sensor Node With Asynchronous ECG Monitoring in 0.18 $mu$ m CMOS 基于0.18 $mu$ m CMOS的异步心电监测自主无线传感器节点

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-01-22 DOI: 10.1109/TBCAS.2015.2495272

A. Mansano, Yongjia Li, S. Bagga, W. Serdijn

{"title":"An Autonomous Wireless Sensor Node With Asynchronous ECG Monitoring in 0.18 $mu$ m CMOS","authors":"A. Mansano, Yongjia Li, S. Bagga, W. Serdijn","doi":"10.1109/TBCAS.2015.2495272","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2495272","url":null,"abstract":"The design of a 13.56 MHz/402 MHz autonomous wireless sensor node with asynchronous ECG monitoring for near field communication is presented. The sensor node consists of an RF energy harvester (RFEH), a power management unit, an ECG readout, a data encoder and an RF backscattering transmitter. The energy harvester supplies the system with 1.25 V and offers a power conversion efficiency of 19% from a -13 dBm RF source at 13.56 MHz. The power management unit regulates the output voltage of the RFEH to supply the ECG readout with VECG = 0.95 V and the data encoder with VDE = 0.65 V . The ECG readout comprises an analog front-end (low noise amplifier and programmable voltage to current converter) and an asynchronous level crossing ADC with 8 bits resolution. The ADC output is encoded by a pulse generator that drives a backscattering transmitter at 402 MHz. The total power consumption of the sensor node circuitry is 9.7 μW for a data rate of 90 kb/s and a heart rate of 70 bpm. The chip has been designed in a 0.18 μm CMOS process and shows superior RF input power sensitivity and lower power consumption when compared to previous works.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2016-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2495272","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62965038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 34

On the Design of Passive Resonant Circuits to Measure Local Pulse Wave Velocity in a Stent 无源谐振电路在支架内局部脉冲波速度测量中的设计

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-01-20 DOI: 10.1109/TBCAS.2015.2496420

J. Schachtele

{"title":"On the Design of Passive Resonant Circuits to Measure Local Pulse Wave Velocity in a Stent","authors":"J. Schachtele","doi":"10.1109/TBCAS.2015.2496420","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2496420","url":null,"abstract":"In-stent restenosis is a frequent complication after stent implantation. This article investigates the design of a passive sensor system to be integrated into a stent for the detection of an in-stent restenosis by measuring the local pulse wave velocity (PWV). The proposed system uses two resonant circuits consisting of a capacitive pressure sensor and a coil as transponders. The pressure sensors are located at the proximal and distal end of the stent. An alternating external magnetic field with a constant frequency is applied such that the resonance frequencies of the transponders cross the excitation frequency when the pulse wave passes. The time delay between the resonances at the transponders can be captured to obtain the PWV. A model for the measurement system and a correlation between transponder design parameters and minimal resolvable time delay are derived. This correlation is based on the criterion that the 3 dB bandwidth of the transponder resonances may not overlap in the measurement time interval. This correlation can be used to design and analyze a transponder system for the proposed measurement system. In an experiment, in which the pressure sensors have been emulated by varactor diodes, it could be shown that the model is valid and that the criterion is suitable. Finally, the relevant design parameters of the transponders have been identified and their limitations investigated.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2016-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2496420","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62965099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Ultra-Low Power Dynamic Knob in Adaptive Compressed Sensing Towards Biosignal Dynamics 生物信号动态自适应压缩感知中的超低功耗动态旋钮

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-01-19 DOI: 10.1109/TBCAS.2015.2497304

Aosen Wang, Feng Lin, Zhanpeng Jin, Wenyao Xu

{"title":"Ultra-Low Power Dynamic Knob in Adaptive Compressed Sensing Towards Biosignal Dynamics","authors":"Aosen Wang, Feng Lin, Zhanpeng Jin, Wenyao Xu","doi":"10.1109/TBCAS.2015.2497304","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2497304","url":null,"abstract":"Compressed sensing (CS) is an emerging sampling paradigm in data acquisition. Its integrated analog-to-information structure can perform simultaneous data sensing and compression with low-complexity hardware. To date, most of the existing CS implementations have a fixed architectural setup, which lacks flexibility and adaptivity for efficient dynamic data sensing. In this paper, we propose a dynamic knob (DK) design to effectively reconfigure the CS architecture by recognizing the biosignals. Specifically, the dynamic knob design is a template-based structure that comprises a supervised learning module and a look-up table module. We model the DK performance in a closed analytic form and optimize the design via a dynamic programming formulation. We present the design on a 130 nm process, with a 0.058 mm 2 fingerprint and a 187.88 nJ/event energy-consumption. Furthermore, we benchmark the design performance using a publicly available dataset. Given the energy constraint in wireless sensing, the adaptive CS architecture can consistently improve the signal reconstruction quality by more than 70%, compared with the traditional CS. The experimental results indicate that the ultra-low power dynamic knob can provide an effective adaptivity and improve the signal quality in compressed sensing towards biosignal dynamics.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2016-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2497304","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62965169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

A Low-Power ASIC Signal Processor for a Vestibular Prosthesis 用于前庭假体的低功耗ASIC信号处理器

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-01-18 DOI: 10.1109/TBCAS.2015.2495341

H. Toreyin, P. Bhatti

引用次数: 5

Systematic Design of a Quorum Sensing-Based Biosensor for Enhanced Detection of Metal Ion in Escherichia Coli 基于群体感应的大肠杆菌金属离子强化检测生物传感器系统设计

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-01-18 DOI: 10.1109/TBCAS.2015.2495151

Chih-Yuan Hsu, Bing-Kun Chen, Rei-Hsing Hu, Bor-Sen Chen

{"title":"Systematic Design of a Quorum Sensing-Based Biosensor for Enhanced Detection of Metal Ion in Escherichia Coli","authors":"Chih-Yuan Hsu, Bing-Kun Chen, Rei-Hsing Hu, Bor-Sen Chen","doi":"10.1109/TBCAS.2015.2495151","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2495151","url":null,"abstract":"With the recent industrial expansion, heavy metals and other pollutants have increasingly contaminated our living surroundings. The non-degradability of heavy metals may lead to accumulation in food chains and the resulting toxicity could cause damage in organisms. Hence, detection techniques have gradually received attention. In this study, a quorum sensing (QS)-based amplifier is introduced to improve the detection performance of metal ion biosensing. The design utilizes diffusible signal molecules, which freely pass through the cell membrane into the environment to communicate with others. Bacteria cooperate via the cell-cell communication process, thereby displaying synchronous behavior, even if only a minority of the cells detect the metal ion. In order to facilitate the design, the ability of the engineered biosensor to detect metal ion is described in a steady state model. The design can be constructed according to user-oriented specifications by selecting adequate components from corresponding libraries, with the help of a genetic algorithm (GA)-based design method. The experimental results validate enhanced efficiency and detection performance of the quorum sensing-based biosensor of metal ions.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2016-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2495151","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62965035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

A CMOS Amperometric System for Multi-Neurotransmitter Detection 一种用于多神经递质检测的CMOS安培系统

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-01-08 DOI: 10.1109/TBCAS.2015.2490225

G. Massicotte, S. Carrara, G. Micheli, M. Sawan

引用次数: 18

An Integrated Circuit for Chip-Based Analysis of Enzyme Kinetics and Metabolite Quantification 一种基于芯片的酶动力学和代谢物定量分析集成电路

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-01-06 DOI: 10.1109/TBCAS.2015.2487603

B. C. Cheah, A. Macdonald, Christopher Martin, A. Streklas, Gordon Campbell, M. Al-Rawhani, B. Németh, J. Grant, M. Barrett, D. Cumming

{"title":"An Integrated Circuit for Chip-Based Analysis of Enzyme Kinetics and Metabolite Quantification","authors":"B. C. Cheah, A. Macdonald, Christopher Martin, A. Streklas, Gordon Campbell, M. Al-Rawhani, B. Németh, J. Grant, M. Barrett, D. Cumming","doi":"10.1109/TBCAS.2015.2487603","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2487603","url":null,"abstract":"We have created a novel chip-based diagnostic tools based upon quantification of metabolites using enzymes specific for their chemical conversion. Using this device we show for the first time that a solid-state circuit can be used to measure enzyme kinetics and calculate the Michaelis-Menten constant. Substrate concentration dependency of enzyme reaction rates is central to this aim. Ion-sensitive field effect transistors (ISFET) are excellent transducers for biosensing applications that are reliant upon enzyme assays, especially since they can be fabricated using mainstream microelectronics technology to ensure low unit cost, mass-manufacture, scaling to make many sensors and straightforward miniaturisation for use in point-of-care devices. Here, we describe an integrated ISFET array comprising 216 sensors. The device was fabricated with a complementary metal oxide semiconductor (CMOS) process. Unlike traditional CMOS ISFET sensors that use the Si3N4 passivation of the foundry for ion detection, the device reported here was processed with a layer of Ta2O5 that increased the detection sensitivity to 45 mV/pH unit at the sensor readout. The drift was reduced to 0.8 mV/hour with a linear pH response between pH 2-12. A high-speed instrumentation system capable of acquiring nearly 500 fps was developed to stream out the data. The device was then used to measure glucose concentration through the activity of hexokinase in the range of 0.05 mM-231 mM, encompassing glucose's physiological range in blood. Localised and temporal enzyme kinetics of hexokinase was studied in detail. These results present a roadmap towards a viable personal metabolome machine.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2016-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2487603","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62964927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 31