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

A Double-Side CMOS-CNT Biosensor Array With Padless Structure for Simple Bare-Die Measurements in a Medical Environment 用于医疗环境中简单裸模测量的双面无衬垫结构CMOS-CNT生物传感器阵列

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2015-12-29 DOI: 10.1109/TBCAS.2015.2500911

Jin-Hong Ahn, Sang-Hoon Hong, Youngjune Park

{"title":"A Double-Side CMOS-CNT Biosensor Array With Padless Structure for Simple Bare-Die Measurements in a Medical Environment","authors":"Jin-Hong Ahn, Sang-Hoon Hong, Youngjune Park","doi":"10.1109/TBCAS.2015.2500911","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2500911","url":null,"abstract":"This paper presents a double-side CMOS-carbon nanotube (CNT) sensor array for simple bare-die measurements in a medical environment based on a 0.35 μm standard CMOS process. This scheme allows robust measurements due to its inherent back-side rectifying diodes with a high latch-up resistance. In particular, instead of using pads, only two contact metal structures: a wide ring structure around the sensor area on the front side and a plate structure at the backside are used for both power and single I/O line. The back-side rectification is made possible by creating VDD and VSS through the back-side and front-side, respectively. The single I/O line is conditioned such that it doubles as either the power source or the ground, depending on whether the chip is face down or face up. A modified universal asynchronous receiver/transmitter (UART) serial communication scheme with pulse based I/O signal transmission is developed to reduce the power degradation during the signaling intervals. In addition, communication errors and I/O power dissipation for the receiver path are minimized by using level sensitive switch control and double sampling difference amplifier. In order to implement these special functions, a controller chip with a special I/O protocol is designed. Using this controller chip, issuing commands and receiving data can both be performed on a single line and the results are flexibly measured through either the backside or the front side of the chip contacts. As a result, a stable operation of under 150 mW maximum power at 2 MHz data rate can be achieved. The double-side chips with 32 × 32 and 64 × 64 sensor arrays occupy areas of 1.9×2.3 mm2 and 3.7×3.9 mm2, respectively.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":"9 1","pages":"815-824"},"PeriodicalIF":5.1,"publicationDate":"2015-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2500911","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62965116","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: 4

A 6.45 $mu{rm W}$ Self-Powered SoC With Integrated Energy-Harvesting Power Management and ULP Asymmetric Radios for Portable Biomedical Systems 6.45 $mu{rm W}$自供电SoC集成能量收集电源管理和ULP非对称无线电便携式生物医学系统

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2015-12-28 DOI: 10.1109/TBCAS.2015.2498643

Abhishek Roy, Alicia Klinefelter, Farah B. Yahya, Xing Chen, Luis Gonzalez-Guerrero, Christopher J. Lukas, Divya Akella, James Boley, Kyle Craig, M. Faisal, Seunghyun Oh, N. Roberts, Y. Shakhsheer, A. Shrivastava, D. Vasudevan, D. Wentzloff, B. Calhoun

{"title":"A 6.45 $mu{rm W}$ Self-Powered SoC With Integrated Energy-Harvesting Power Management and ULP Asymmetric Radios for Portable Biomedical Systems","authors":"Abhishek Roy, Alicia Klinefelter, Farah B. Yahya, Xing Chen, Luis Gonzalez-Guerrero, Christopher J. Lukas, Divya Akella, James Boley, Kyle Craig, M. Faisal, Seunghyun Oh, N. Roberts, Y. Shakhsheer, A. Shrivastava, D. Vasudevan, D. Wentzloff, B. Calhoun","doi":"10.1109/TBCAS.2015.2498643","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2498643","url":null,"abstract":"This paper presents a batteryless system-on-chip (SoC) that operates off energy harvested from indoor solar cells and/or thermoelectric generators (TEGs) on the body. Fabricated in a commercial 0.13 μW process, this SoC sensing platform consists of an integrated energy harvesting and power management unit (EH-PMU) with maximum power point tracking, multiple sensing modalities, programmable core and a low power microcontroller with several hardware accelerators to enable energy-efficient digital signal processing, ultra-low-power (ULP) asymmetric radios for wireless transmission, and a 100 nW wake-up radio. The EH-PMU achieves a peak end-to-end efficiency of 75% delivering power to a 100 μA load. In an example motion detection application, the SoC reads data from an accelerometer through SPI, processes it, and sends it over the radio. The SPI and digital processing consume only 2.27 μW, while the integrated radio consumes 4.18 μW when transmitting at 187.5 kbps for a total of 6.45 μW.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":"9 1","pages":"862-874"},"PeriodicalIF":5.1,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2498643","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62964930","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: 74

Realizing Low-Energy Classification Systems by Implementing Matrix Multiplication Directly Within an ADC 在ADC内直接实现矩阵乘法实现低能量分类系统

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2015-12-28 DOI: 10.1109/TBCAS.2015.2500101

Zhuo Wang, Jintao Zhang, N. Verma

{"title":"Realizing Low-Energy Classification Systems by Implementing Matrix Multiplication Directly Within an ADC","authors":"Zhuo Wang, Jintao Zhang, N. Verma","doi":"10.1109/TBCAS.2015.2500101","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2500101","url":null,"abstract":"In wearable and implantable medical-sensor applications, low-energy classification systems are of importance for deriving high-quality inferences locally within the device. Given that sensor instrumentation is typically followed by A-D conversion, this paper presents a system implementation wherein the majority of the computations required for classification are implemented within the ADC. To achieve this, first an algorithmic formulation is presented that combines linear feature extraction and classification into a single matrix transformation. Second, a matrix-multiplying ADC (MMADC) is presented that enables multiplication between an analog input sample and a digital multiplier, with negligible additional energy beyond that required for A-D conversion. Two systems mapped to the MMADC are demonstrated: (1) an ECG-based cardiac arrhythmia detector; and (2) an image-pixel-based facial gender detector. The RMS error over all multiplication performed, normalized to the RMS of ideal multiplication results is 0.018. Further, compared to idealized versions of conventional systems, the energy savings obtained are estimated to be 13× and 29×, respectively, while achieving similar level of performance.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":"9 1","pages":"825-837"},"PeriodicalIF":5.1,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2500101","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62965000","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

An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications 面向大数据应用的四并行MIMD架构节能可扩展深度学习/推理处理器

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2015-12-01 DOI: 10.1109/TBCAS.2015.2504563

Seongwook Park, Junyoung Park, Kyeongryeol Bong, Dongjoo Shin, Jinmook Lee, Sungpill Choi, H. Yoo

{"title":"An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications","authors":"Seongwook Park, Junyoung Park, Kyeongryeol Bong, Dongjoo Shin, Jinmook Lee, Sungpill Choi, H. Yoo","doi":"10.1109/TBCAS.2015.2504563","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2504563","url":null,"abstract":"Deep Learning algorithm is widely used for various pattern recognition applications such as text recognition, object recognition and action recognition because of its best-in-class recognition accuracy compared to hand-crafted algorithm and shallow learning based algorithms. Long learning time caused by its complex structure, however, limits its usage only in high-cost servers or many-core GPU platforms so far. On the other hand, the demand on customized pattern recognition within personal devices will grow gradually as more deep learning applications will be developed. This paper presents a SoC implementation to enable deep learning applications to run with low cost platforms such as mobile or portable devices. Different from conventional works which have adopted massively-parallel architecture, this work adopts task-flexible architecture and exploits multiple parallelism to cover complex functions of convolutional deep belief network which is one of popular deep learning/inference algorithms. In this paper, we implement the most energy-efficient deep learning and inference processor for wearable system. The implemented 2.5 mm ×4.0 mm deep learning/inference processor is fabricated using 65 nm 8-metal CMOS technology for a battery-powered platform with real-time deep inference and deep learning operation. It consumes 185 mW average power, and 213.1 mW peak power at 200 MHz operating frequency and 1.2 V supply voltage. It achieves 411.3 GOPS peak performance and 1.93 TOPS/W energy efficiency, which is 2.07× higher than the state-of-the-art.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":"9 1","pages":"838-848"},"PeriodicalIF":5.1,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2504563","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62966130","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: 37

A Smart CMOS Assay SoC for Rapid Blood Screening Test of Risk Prediction 用于风险预测的快速血液筛查试验的智能CMOS分析SoC

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2015-12-01 DOI: 10.1109/TBCAS.2015.2507618

Po-Hung Kuo, Jui-Chang Kuo, Hsiao-Ting Hsueh, J. Hsieh, Yi-Chun Huang, Tao Wang, Yen-Hung Lin, Chih-Ting Lin, Yao-Joe Yang, Shey-Shi Lu

引用次数: 10

A Circadian and Cardiac Intraocular Pressure Sensor for Smart Implantable Lens 用于智能植入式晶体的昼夜节律和心脏眼内压传感器

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2015-12-01 DOI: 10.1109/TBCAS.2015.2501320

A. Donida, G. Dato, Paolo Cunzolo, M. Sala, Filippo Piffaretti, P. Orsatti, D. Barrettino

引用次数: 34

Miniaturizing Ultrasonic System for Portable Health Care and Fitness 用于便携式医疗保健和健身的微型化超声系统

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2015-12-01 DOI: 10.1109/TBCAS.2015.2508439

Hao-Yen Tang, D. Seo, Utkarsh Singhal, Xi Li, M. Maharbiz, E. Alon, B. Boser

引用次数: 37

A 9 MHz–2.4 GHz Fully Integrated Transceiver IC for a Microfluidic-CMOS Platform Dedicated to Miniaturized Dielectric Spectroscopy 微型介电光谱专用微流控cmos平台的9mhz - 2.4 GHz全集成收发器IC

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2015-12-01 DOI: 10.1109/TBCAS.2015.2501816

M. Bakhshiani, M. Suster, P. Mohseni

{"title":"A 9 MHz–2.4 GHz Fully Integrated Transceiver IC for a Microfluidic-CMOS Platform Dedicated to Miniaturized Dielectric Spectroscopy","authors":"M. Bakhshiani, M. Suster, P. Mohseni","doi":"10.1109/TBCAS.2015.2501816","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2501816","url":null,"abstract":"This paper presents a fully integrated transceiver IC as part of a self-sustained, microfluidic-CMOS platform for miniaturized dielectric spectroscopy (DS) from MHz to GHz. Fabricated in AMS 0.35 μm 2P/4M RF CMOS, the transmitter (TX) part of the IC generates a single-tone sinusoidal signal with frequency tunability in the range of to excite a three-dimensional (3D), parallel-plate, capacitive sensor with a floating electrode and 9 μL microfluidic channel for sample delivery. With a material-under-test (MUT) loaded into the sensor, the receiver (RX) part of the IC employs broadband frequency response analysis (bFRA) methodology to measure the amplitude and phase of the RF excitation signal after transmission through the sensor. A one-time, 6-point sensor calibration algorithm then extracts both the real and imaginary parts of the MUT complex permittivity, εr, from IC measurements of the sensor transmission characteristics in the voltage domain. The “sensor + IC” is fully capable of differentiating among de-ionized (DI) water, phosphate-buffered saline (PBS), and alcoholic beverages in tests conducted at four excitation frequencies of ~ 50 MHz, 500 MHz, 1.5 GHz, and 2.4 GHz generated by the TX. Moreover, permittivity readings of PBS by the sensor interfaced with the IC at six excitation frequencies in the range of are in excellent agreement (rms error of 1.7% (real) and 7.2% (imaginary)) with those from bulk-solution reference measurements by commercial benchtop equipment. The total power consumption of the IC is with 1.5 V (analog) and 3.3 V (digital) supplies.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":"9 1","pages":"849-861"},"PeriodicalIF":5.1,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2501816","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62965229","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: 17

Reconfigurable Resonant Regulating Rectifier With Primary Equalization for Extended Coupling- and Loading-Range in Bio-Implant Wireless Power Transfer 可重构谐振调节整流器与初级均衡扩展耦合和负载范围在生物植入物无线电力传输

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2015-12-01 DOI: 10.1109/TBCAS.2015.2503418

Xing Li, Xiaodong Meng, C. Tsui, W. Ki

{"title":"Reconfigurable Resonant Regulating Rectifier With Primary Equalization for Extended Coupling- and Loading-Range in Bio-Implant Wireless Power Transfer","authors":"Xing Li, Xiaodong Meng, C. Tsui, W. Ki","doi":"10.1109/TBCAS.2015.2503418","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2503418","url":null,"abstract":"Wireless power transfer using reconfigurable resonant regulating ( R3) rectification suffers from limited range in accommodating varying coupling and loading conditions. A primary-assisted regulation principle is proposed to mitigate these limitations, of which the amplitude of the rectifier input voltage on the secondary side is regulated by accordingly adjusting the voltage amplitude Veq on the primary side. A novel current-sensing method and calibration scheme track Veq on the primary side. A ramp generator simultaneously provides three clock signals for different modules. Both the primary equalizer and the R3 rectifier are implemented as custom integrated circuits fabricated in a 0.35 μm CMOS process, with the global control implemented in FPGA. Measurements show that with the primary equalizer, the workable coupling and loading ranges are extended by 250% at 120 mW load and 300% at 1.2 cm coil distance compared to the same system without the primary equalizer. A maximum rectifier efficiency of 92.5% and a total system efficiency of 62.4% are demonstrated.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":"9 1","pages":"875-884"},"PeriodicalIF":5.1,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2503418","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62966122","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: 43

A Wearable EEG-HEG-HRV Multimodal System With Simultaneous Monitoring of tES for Mental Health Management 一种可穿戴的EEG-HEG-HRV多模态系统，同时监测tES用于心理健康管理

IF 5.1 2区医学

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2015-12-01 DOI: 10.1109/TBCAS.2015.2504959

U. Ha, Yongsu Lee, Hyunki Kim, Taehwan Roh, Joonsung Bae, Changhyeon Kim, H. Yoo

{"title":"A Wearable EEG-HEG-HRV Multimodal System With Simultaneous Monitoring of tES for Mental Health Management","authors":"U. Ha, Yongsu Lee, Hyunki Kim, Taehwan Roh, Joonsung Bae, Changhyeon Kim, H. Yoo","doi":"10.1109/TBCAS.2015.2504959","DOIUrl":"https://doi.org/10.1109/TBCAS.2015.2504959","url":null,"abstract":"A multimodal mental management system in the shape of the wearable headband and earplugs is proposed to monitor electroencephalography (EEG), hemoencephalography (HEG) and heart rate variability (HRV) for accurate mental health monitoring. It enables simultaneous transcranial electrical stimulation (tES) together with real-time monitoring. The total weight of the proposed system is less than 200 g. The multi-loop low-noise amplifier (MLLNA) achieves over 130 dB CMRR for EEG sensing and the capacitive correlated-double sampling transimpedance amplifier (CCTIA) has low-noise characteristics for HEG and HRV sensing. Measured three-physiology domains such as neural, vascular and autonomic domain signals are combined with canonical correlation analysis (CCA) and temporal kernel canonical correlation analysis (tkCCA) algorithm to find the neural-vascular-autonomic coupling. It supports highly accurate classification with the 19% maximum improvement with multimodal monitoring. For the multi-channel stimulation functionality, after-effects maximization monitoring and sympathetic nerve disorder monitoring, the stimulator is designed as reconfigurable. The 3.37 × 2.25 mm 2 chip has 2-channel EEG sensor front-end, 2-channel NIRS sensor front-end, NIRS current driver to drive dual-wavelength VCSEL and 6-b DAC current source for tES mode. It dissipates 24 mW with 2 mA stimulation current and 5 mA NIRS driver current.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":"9 1","pages":"758-766"},"PeriodicalIF":5.1,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2015.2504959","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62966141","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: 53