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A Portable Thermogram based Non-contact Non-invasive Early Breast-Cancer Screening Device 一种便携式非接触式非侵入性早期乳腺癌热像仪
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2018-10-01 DOI: 10.1109/BIOCAS.2018.8584762
Bilal Majeed, Hafiz Talha Iqbal, Uzair Khan, Muhammad Awais Bin Altaf
{"title":"A Portable Thermogram based Non-contact Non-invasive Early Breast-Cancer Screening Device","authors":"Bilal Majeed, Hafiz Talha Iqbal, Uzair Khan, Muhammad Awais Bin Altaf","doi":"10.1109/BIOCAS.2018.8584762","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584762","url":null,"abstract":"Thermogram (infrared) based non-contact noninvasive screening device for breast cancer is presented. To enable a home-based patient-comfort portable breast cancer screening device, a FLIR thermal imaging camera, with the best of four (BoF) features based on the proposed novel methodology and the support vector machine (SVM) learning classifier is exploited. The 4-dimensjon Feature Vector (FV) is computed using the segmented image, grey Level co-occurrence matrix (GLCM) and run-length matrix (RLM) calculation. To ensure hardware optimization, the proposed multiplexed GLCM, RLM and SVM implementation realizes an area reduction of 30% compared to the conventional with minimal overhead in the system speed requirement. A Linear SVM is utilized to decide between malignant and benign based on the FV. The system is implemented on FPGA and experimentally verified using the patients from the Mastological Research database. The proposed breast cancer screening processor targets a portable home environment and achieves the sensitivity and specificity of 79.06% and 88.57%, respectively.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133353874","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}
引用次数: 9
Live Demonstration: A Bluetooth Low Energy (BLE)-enabled Wireless Link for Bidirectional Communications with a Neural Microsystem 现场演示:用于神经微系统双向通信的低功耗蓝牙(BLE)无线链路
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2018-10-01 DOI: 10.1109/BIOCAS.2018.8584703
Nicholas H. Vitale, M. Azin, P. Mohseni
{"title":"Live Demonstration: A Bluetooth Low Energy (BLE)-enabled Wireless Link for Bidirectional Communications with a Neural Microsystem","authors":"Nicholas H. Vitale, M. Azin, P. Mohseni","doi":"10.1109/BIOCAS.2018.8584703","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584703","url":null,"abstract":"This live demonstration showcases a fully interactive, Bluetooth low energy (BLE)-enabled, wireless interface for bidirectional communications with a neural microsystem. A standalone user base station (UBS) employs custom software to wirelessly communicate with the prototype microsystem via BLE. Users can seamlessly interact with the UBS to program and monitor various features and functions of the neural microsystem wirelessly over meter-range distances.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114350647","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}
引用次数: 0
The Spectral Calibration of Swept-Source Optical Coherence Tomography Systems Using Unscented Kalman Filter 扫描源光学相干层析成像系统的无气味卡尔曼滤波光谱定标
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2018-10-01 DOI: 10.1109/BIOCAS.2018.8584823
A. T. Zavareh, S. Hoyos
{"title":"The Spectral Calibration of Swept-Source Optical Coherence Tomography Systems Using Unscented Kalman Filter","authors":"A. T. Zavareh, S. Hoyos","doi":"10.1109/BIOCAS.2018.8584823","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584823","url":null,"abstract":"The ever-increasing demand for acquiring images at a faster rate and consequently of deeper layers of tissue in swept-source optical coherence tomography (SS-OCT), has motivated researchers to investigate techniques capable of performing fast acquisition without compromising sensitivity. Non-linear spectral sweeps, phase instability, and increased noise levels of swept lasers can cause the image quality to deteriorate, especially if a lower quality light source is used. This work leverages the unscented Kalman filter aiming to alleviate these shortcomings. Using this filter, both the non-idealities of the non-linear sweep and the increased noise levels are accounted for. Simulations show promising performance results in terms of extracting the non-linear spectral sweep as a function of time. The UKF also shows better metrics compared to other versions of the Kalman filter when it comes to tracking non-linearities and hardware implementation complexity giving the method significant advantages in real-time applications of hand-held, portable optical coherence tomography devices.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114517353","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}
引用次数: 2
A Neuromorphic Computing System for Bitwise Neural Networks Based on ReRAM Synaptic Array 基于ReRAM突触阵列的位神经网络神经形态计算系统
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2018-10-01 DOI: 10.1109/BIOCAS.2018.8584810
Pin-Yi Li, Cheng-Han Yang, Wei-Hao Chen, Jian-Hao Huang, Wei-Chen Wei, Je-Syu Liu, Wei-Yu Lin, Tzu-Hsiang Hsu, C. Hsieh, Ren-Shuo Liu, Meng-Fan Chang, K. Tang
{"title":"A Neuromorphic Computing System for Bitwise Neural Networks Based on ReRAM Synaptic Array","authors":"Pin-Yi Li, Cheng-Han Yang, Wei-Hao Chen, Jian-Hao Huang, Wei-Chen Wei, Je-Syu Liu, Wei-Yu Lin, Tzu-Hsiang Hsu, C. Hsieh, Ren-Shuo Liu, Meng-Fan Chang, K. Tang","doi":"10.1109/BIOCAS.2018.8584810","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584810","url":null,"abstract":"Recent advances in neuromorphic computing system have shown resistive random-access memory (ReRAM) can be used to efficiently implement compact parallel computing arrays, which are inherently suitable for neural networks that require large amounts of matrix-vector multiplications (MVMs). In this work, we proposed a neuromorphic computing system based on ReRAM synaptic array to implement bitwise neural networks. The system contains a ReRAM synaptic array for parallel computation of bitwise MVMs, and a field-programmable gate array for data buffering and processing. To deploy the network on the system, a customized training scheme was required to adapt the trained network to the characteristic of ReRAM synaptic array with bitwise weights and inputs. We also managed the resolution of partial sum to reduce the bit width requirement of sense amplifier, thereby reducing power consumption. The measurement results show that the ReRAM synaptic array consumed only 0.27mW at 1V supply by using 1-bit sense amplifier while the system still maintained 97.52% accuracy on MNIST dataset.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116290991","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}
引用次数: 2
Muscle Synergy Adaptation During A Complex Postural Stabilization Task* 在复杂的姿势稳定任务中的肌肉协同适应*
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2018-10-01 DOI: 10.1109/BIOCAS.2018.8584801
Rajat Emanuel Singh, K. Iqbal, G. White
{"title":"Muscle Synergy Adaptation During A Complex Postural Stabilization Task*","authors":"Rajat Emanuel Singh, K. Iqbal, G. White","doi":"10.1109/BIOCAS.2018.8584801","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584801","url":null,"abstract":"The organization of encoded motor modules or motor primitives in the central nervous system and their combination leads to different aspects of natural motor behavior. It is believed that neural stimulation of these coded sections activates specific groups of muscles to achieve a behavioral goal. We use the muscle synergy (MS) hypothesis to compare activation patterns during overground walking and slackline walking for a small group of highly proficient slackliners and beginners. Synchronous MS were extracted using factor analysis (FA) for rhythmic and arrhythmic repertoire of movement. The results revealed no significant difference between slackliners and non-slackliners as the extracted synergies were dependent on the variability of the task. Besides, the shared dimensional space revealed the task-specific higher loading of the quadriceps muscles for walking with such postural constraints.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"20 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116702085","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}
引用次数: 6
Live Demonstration: 385 × 385 μm2 0.165V 270pW Fully-Integrated Supply-Modulated OOK Tx in 65nm CMOS for Glasses-Free, Self-Powered, and Fuel-Cell-Embedded Continuous Glucose Monitoring Contact Lens 现场演示:385 × 385 μm2 0.165V 270pW全集成电源调制OOK Tx在65nm CMOS无眼镜，自供电，和嵌入燃料电池连续血糖监测隐形眼镜
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2018-10-01 DOI: 10.1109/BIOCAS.2018.8584841
K. Hayashi, S. Arata, Ge Xu, S. Murakami, C. D. Bui, A. Kobayashi, K. Niitsu
{"title":"Live Demonstration: 385 × 385 μm2 0.165V 270pW Fully-Integrated Supply-Modulated OOK Tx in 65nm CMOS for Glasses-Free, Self-Powered, and Fuel-Cell-Embedded Continuous Glucose Monitoring Contact Lens","authors":"K. Hayashi, S. Arata, Ge Xu, S. Murakami, C. D. Bui, A. Kobayashi, K. Niitsu","doi":"10.1109/BIOCAS.2018.8584841","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584841","url":null,"abstract":"In order to care and prevent diabetes, continuous glucose monitoring (CGM) is considerably important [1]. However, existing needle-type glucose monitoring systems [2] are painful, thus unsuitable for preventing applications. In order to address this issue, a needle-less and pain-free CGM contact lens has been developed [3]. Since tear glucose level has high correlation with blood glucose level, it can be expected to be future de facto standard CGM. However, the existing CGM contact lens is based on RFID technology associated with the dedicated smart glasses, which degrade the patients' comfort and cost too much.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"37 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128231019","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}
引用次数: 1
Toward an Energy-Efficient Bridge-to-Digital Intracranial Pressure Sensing Interface 一种高能效的桥-数字颅内压传感接口
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2018-10-01 DOI: 10.1109/BIOCAS.2018.8584771
Ahmad Rezvanitabar, Gwangrok Jung, F. Degertekin, Maysam Ghovanloo
{"title":"Toward an Energy-Efficient Bridge-to-Digital Intracranial Pressure Sensing Interface","authors":"Ahmad Rezvanitabar, Gwangrok Jung, F. Degertekin, Maysam Ghovanloo","doi":"10.1109/BIOCAS.2018.8584771","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584771","url":null,"abstract":"This work presents an integrated solution for lowering the power consumption in interface circuits for bridge sensors, which consume power because of their low resistances particularly in implantable microsystems, such as intracranial pressure (ICP) monitoring application. The proposed direct bridge-to-digital interface uses a pseudo-pseudo differential (PPD) structure, in which the converter not only provides key benefits of traditional fully-differential interface circuits but also can reduce their complexity with single-ended architecture. It occupies 0.0667 mm2in 0.35-μm standard CMOS technology, where the interface provides 9.13 effective number of bits (ENOB), while cutting the power consumption of a 3 kΩWheatstone bridge down to 363 µW at 1.8 V supply, and sampling rate of 3.72 kHz in post-layout simulations.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134337906","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}
引用次数: 2
Early Detection of Epileptic Activity on EEG Signals using Phase-Preserving Quantization Method 用保相量化方法早期检测脑电图信号的癫痫活动
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2018-10-01 DOI: 10.1109/BIOCAS.2018.8584766
Sylmarie Dávila-Montero, E. Ashoori, A. Mason
{"title":"Early Detection of Epileptic Activity on EEG Signals using Phase-Preserving Quantization Method","authors":"Sylmarie Dávila-Montero, E. Ashoori, A. Mason","doi":"10.1109/BIOCAS.2018.8584766","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584766","url":null,"abstract":"This paper demonstrates the use of a data decimation method, called phase-preserving quantization (PPQ), for early seizure prediction. PPQ consists of a) amplifying and filtering the neural signals around the frequency band of interest, and b) compressing the filtered signal using a 1-bit quantizer with a 0-V single-threshold decision. The ability of PPQ to retain phase information and predict seizure events while compressing the signal resolution to a single bit is demonstrated using electroencephalography (EEG) recordings from the Children's Hospital Boston-MIT (CHB-MIT) EEG database. Results show 97% accuracy when calculating synchrony values using PPQ, which is an improvement of 7% when compared to previously published results. The presented improved method enables the early detection of seizure events, resulting in a decrease in phase synchrony computation time while allowing an increase in the number of recording channels that can be screened when using EEG.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133576021","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}
引用次数: 1
Highly-Stretchable Biomechanical Strain Sensor using Printed Liquid Metal Paste 使用印刷液态金属膏体的高可拉伸生物力学应变传感器
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2018-10-01 DOI: 10.1109/BIOCAS.2018.8584671
Callen Votzke, U. Daalkhaijav, Y. Mengüç, M. Johnston
{"title":"Highly-Stretchable Biomechanical Strain Sensor using Printed Liquid Metal Paste","authors":"Callen Votzke, U. Daalkhaijav, Y. Mengüç, M. Johnston","doi":"10.1109/BIOCAS.2018.8584671","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584671","url":null,"abstract":"Stretchable electronic circuits and systems will be critical for future wearable devices and smart textiles, where existing rigid and flexible fabrication approaches severely limit conformal deformation. This is especially true for wearable sensors and actuators, critical for emerging physical human-machine interfaces and stretchable electrical interconnects. In this work, we present a 3D-printed, highly-stretchable strain sensor that uses a modified liquid metal paste to provide high-strain conductors. This approach provides near-zero hysteresis compared with nanotube-based inks, and improved conductivity over carbon- and metal-based inks, both critical for integration of soft sensors with stretchable measurement circuitry. We present an approach for fabrication of the wearable sensors and demonstrate stable conductivity of the liquid metal paste with near-zero hysteresis over 375 cycles at 200% strain. The device is demonstrated for measurement of elbow flexion angle, providing proof-of-concept of the approach for biomechanical sensor applications and wearable human-machine interfaces.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132826357","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}
引用次数: 19
Energy-Optimal Gesture Recognition using Self-Powered Wearable Devices 使用自供电可穿戴设备的能量优化手势识别
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2018-10-01 DOI: 10.1109/BIOCAS.2018.8584746
Jaehyun Park, Ganapati Bhat, C. S. Geyik, Ümit Y. Ogras, H. Lee
{"title":"Energy-Optimal Gesture Recognition using Self-Powered Wearable Devices","authors":"Jaehyun Park, Ganapati Bhat, C. S. Geyik, Ümit Y. Ogras, H. Lee","doi":"10.1109/BIOCAS.2018.8584746","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584746","url":null,"abstract":"Small form factor and low-cost wearable devices enable a variety of applications including gesture recognition, health monitoring, and activity tracking. Energy harvesting and optimal energy management are critical for the adoption of these devices, since they are severely constrained by battery capacity. This paper considers optimal gesture recognition using self-powered devices. We propose an approach to maximize the number of gestures that can be recognized under energy budget and accuracy constraints. We construct a computationally efficient optimization algorithm with the help of analytical models derived using the energy consumption breakdown of a wearable device. Our empirical evaluations demonstrate up to 2.4 x increase in the number of recognized gestures compared to a manually optimized solution.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"20 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130532459","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}
引用次数: 5
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