Dorian Haci, A. Mifsud, Yan Liu, S. Ghoreishizadeh, T. Constandinou
{"title":"In-body wireline interfacing platform for multi-module implantable microsystems","authors":"Dorian Haci, A. Mifsud, Yan Liu, S. Ghoreishizadeh, T. Constandinou","doi":"10.1109/BIOCAS.2019.8918756","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8918756","url":null,"abstract":"The recent evolution of implantable medical devices from single-unit stimulators to modern implantable microsystems, has driven the need for distributed technologies, in which both the implant system and functions are partitioned across multiple active devices. This multi-module approach is made possible thanks to novel network architectures, allowing for in-body power and data communications to be performed using implantable leads. This paper discusses the challenges in implementing such interfacing system and presents a platform based on one central implant (CI) and multiple peripheral implants (PIs) using a custom 4WiCS communication protocol. This is implemented in PCB technology and tested to demonstrate intrabody communication capabilities and power transfer within the network. Measured results show CI-to-PI power delivery achieves 70 % efficiency in expected load condition, while establishing full-duplex data link with up to 4 PIs simultaneously.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"135 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113996600","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}
{"title":"An Automatic R-peak Detection Method Based on Hierarchical Clustering","authors":"Hanjie Chen, K. Maharatna","doi":"10.1109/BIOCAS.2019.8919208","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919208","url":null,"abstract":"The detection of R peaks in electrocardiogram (ECG) is an important task because R peaks can be used to identify the heart rate in order to detect different types of cardiac abnormalities including arrhythmias. This paper proposes a novel R peak detection algorithm from ECG based on a machine learning algorithm named hierarchical clustering. We evaluate the algorithm by using the 48 half-hour ECG records of MIT-BIT arrhythmias database and compare with different techniques. Our R peak detector achieves average detection accuracy of 99.83%, a sensitivity of 99.89% and a positive predictive value of 99.94% over the validation database and the results also show the proposed algorithm significantly reduces the false detection of the R-peaks.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117178851","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}
{"title":"Bio-impedance Simulation Platform using 3D Time-Varying Impedance Grid for Arterial Pulse Wave Modeling","authors":"Bassem Ibrahim, D. Hall, R. Jafari","doi":"10.1109/BIOCAS.2019.8919198","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919198","url":null,"abstract":"Accurate measurement of various parameters including the arrival time, velocity, and pressure of the arterial pulse wave is essential for continuous monitoring of hemodynamic parameters and early diagnosis of cardiovascular disease. Noninvasive sensors such as bio-impedance (Bio-Z) have been used to measure the arterial pulse wave by sensing the change in blood volume. However, the measured hemodynamic parameters are significantly affected by the electrode positioning relative to the artery and the electrode configuration. In this work, we created a Bio-Z simulation platform using a 3D time-varying impedance grid to model the arterial pulse wave. This platform can be used to guide design decisions (i.e. electrode placement relative to the artery and electrode configuration) prior to experimentation. We present simulations of the arterial pulse waveform for different sensor locations, current injection frequencies, and artery depths. The simulations are validated by measurements. This model will enable designers and researchers to create time-varying hemodynamic signals and rapidly test the effectiveness of circuits and algorithms without the need for extensive and burdensome experimentation.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116138035","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}
Aurojyoti Das, Samprajani Rout, A. Urso, W. Serdijn
{"title":"Activity Dependent Multichannel ADC Architecture using Level Crossing Quantisation for Atrial Electrogram Recording","authors":"Aurojyoti Das, Samprajani Rout, A. Urso, W. Serdijn","doi":"10.1109/BIOCAS.2019.8919156","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919156","url":null,"abstract":"This paper presents a novel multichannel level-crossing (MLC) ADC architecture aimed at recording atrial electrograms from multiple channels. The proposed architecture combines synchronous sampling with level-crossing (LC) quantisation to achieve activity dependent operation while recording from multiple channels simultaneously. In the proposed architecture the number of comparisons performed by the quantiser to reach a decision is dependent on the activity of the input signal and is 2-3.3 times lower than that in a conventional SAR ADC. The architecture uses one comparator and one reference level instead of two comparators and two reference levels as in conventional LC ADCs. The proposed architecture is modeled in VerilogA and is designed to be implemented in a standard 0.18 um CMOS process. The MLC ADC converts signals from 4 channels simultaneously and achieves an SFDR of 53.33 dB and an SNDR of 48.96 dB while consuming 9.32 µW of power from a 1.8 V power supply.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123366484","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}
Pablo Mendoza Ponce, Gayas Sayed, L. A. Saleh, W. Krautschneider, M. Kuhl
{"title":"A Pressure Sensor with 0.30 mmHg Resolution incorporating a 4.19 pJ/conv Thyristor-based Capacitance-to-Time Converter for Intra-Corporeal Pressure Monitoring Applications","authors":"Pablo Mendoza Ponce, Gayas Sayed, L. A. Saleh, W. Krautschneider, M. Kuhl","doi":"10.1109/BIOCAS.2019.8919042","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919042","url":null,"abstract":"This work presents a Capacitance-to-Digital Converter for in-vivo pressure monitoring in clinical scenarios. The developed system combines a Capacitance-to-Time Converter (CTC) and a Time-to-Digital Converter (TDC), of which the CTC presents a novel architecture based on CMOS Thyristor elements with a power consumption of only 2.99 µW. The interface was implemented in a 350 nm CMOS technology and tested in combination with a commercially available capacitive pressure transducer. The Capacitance-to-Time Converter unit achieves an average pressure resolution of 0.30 mmHg while consuming 4.19 pJ/conv.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123677906","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}
{"title":"A Data-Driven Detection System for Predicting Stress Levels from Autonomic Signals","authors":"J. Daniels, P. Georgiou","doi":"10.1109/BIOCAS.2019.8919249","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919249","url":null,"abstract":"This paper introduces and details a detection system for continuous monitoring of psychological stress. The formulation of classes relating to varying levels of stress intensity is described. This is necessary for determining the therapy needed to alleviate the associated effects, particularly in population groups suffering from chronic and mental illnesses such as diabetes and depression. The data-driven detection system mainly comprises kernel principal component analysis for dimensionality reduction, and nearest neighbour classifier for supervised learning to determine the associated stress intensity. We evaluate the generalised stress detection system using a 3-fold cross validation and a test set comprising an independent subject. We obtain a 0.66 F1-score with a precision of 0.70 and a recall of 0.67 over 4 classes of stress: no stress, low stress, moderate stress, and high stress.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122570473","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}
Jason Wright, J. Wong, Yao-Chuan Chang, Umair Ahmed, S. Zanos, T. Datta
{"title":"A low-power implantable neurostimulator for small rodents with functional validation","authors":"Jason Wright, J. Wong, Yao-Chuan Chang, Umair Ahmed, S. Zanos, T. Datta","doi":"10.1109/BIOCAS.2019.8919215","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919215","url":null,"abstract":"Research applications in the field of bioelectronic medicine require miniaturized electronics for neurostimulation featuring high precision, long lifetimes, and small size. Existing devices are often limited by the battery capacity, durability of biocompatible packaging, and/or an experimental setup that restricts subject motion. To improve on these limitations, a neurostimulator for chronic implantation in mice was designed using standard off-the-shelf components and experimentally validated acutely in vivo. The device provides single-channel, constant-current monophasic stimulation with passive charge recovery. Magnetic control enables switching between active and electrical/physiological operational validation states. The quiescent current is 1.4 μA and active current is 160 μA with default stimulation parameters (250 μA amplitude, 32 Hz frequency, 100 μs pulse width), allowing the device to be powered by a single 3V lithium cell for up to 147 days with 2 hours of stimulation per day. The implant was packaged using biocompatible epoxy and preliminary accelerated soak testing results indicate a potential functional lifetime of up to 120 days.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122701186","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}
{"title":"A Low-powered Capacitive Device for Detection of Heart Beat and Cardiovascular Parameters","authors":"B. Rosa, Guang-Zhong Yang","doi":"10.1109/BIOCAS.2019.8919218","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919218","url":null,"abstract":"Contact-based skin measurements represent the standard setup for biopotential acquisition in clinical practice. The techniques for ECG, EMG, EOG or EEG recordings have remained largely unchanged for the past decades, apart from electronic circuit miniaturization and ease of connectivity to the Internet of Things. Electrode placement over the skin needs to consider the endogenous currents generated by the body flowing into the terminal inputs of an external amplifier. Although much effort has been devoted lately to the design of electrodes with better conductivity and signal-to-noise ratios, a physical connection between the skin and electronics is still necessary to accommodate the circulation of these currents. In this paper, we present a capacitive sensor for distant ECG acquisition without physical contact with the skin, combining the non-invasiveness nature of the method with contact-less measurements. A high impedance front-end amplifier assures a deviation of the corner frequency to the mHz range for the high-pass filter generated between body surface and amplifier, thus allowing the detection of cardiac events produced by slowly moving AC currents.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123970228","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}
José Luis Valtierra, R. Fiorelli, Norberto Pérez-Prieto, M. Delgado-Restituto, Á. Rodríguez-Vázquez
{"title":"A High TCMRR, Inherently Charge Balanced Bidirectional Front-End for Multichannel Closed-Loop Neuromodulation","authors":"José Luis Valtierra, R. Fiorelli, Norberto Pérez-Prieto, M. Delgado-Restituto, Á. Rodríguez-Vázquez","doi":"10.1109/BIOCAS.2019.8919111","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919111","url":null,"abstract":"This paper describes a multichannel bidirectional front-end for implantable closed-loop neuromodulation. Stimulation artefacts are reduced by way of a 4-channel H-bridge current source sharing stimulator front-end that minimizes residual charge drops in the electrodes via topology-inherent charge balancing. A 4-channel chopper front-end is capable of multichannel recording in the presence of artefacts as a result of its high total common-mode rejection ratio (TCMRR) that accounts for CMRR degradation due to electrode mismatch. Experimental verification of a prototype fabricated in a standard 180 nm process shows a stimulator front-end with 0.059% charge balance and 0.275 nA DC current error. The recording front-end consumes 3.24 µW, tolerates common-mode interference up to 1 Vpp and shows a TCMRR > 66 dB for 500 mVpp inputs.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124259083","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}
{"title":"Energy-efficient and Secure Wireless Body Sensor Networks with Metamaterial Textiles","authors":"Xi Tian, Xin Yang, J. S. Ho","doi":"10.1109/BIOCAS.2019.8919179","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919179","url":null,"abstract":"Wearable sensors can be connected to form a wireless body sensor network (WBSN) for applications in physiological monitoring and continuous healthcare. However, wireless connection between devices is currently achieved by radiating signals into the space around the body, which is in general energy-inefficient and vulnerable to eavesdropping attacks. We have recently demonstrated that clothing structured with conductive textiles – termed metamaterial textiles – can support surface-plasmon-like modes that enable wireless signals emitted by standard devices to efficiently and securely propagate around the body. Here, we show that the metamaterial textiles enable wireless signals to be localized to a distance of 10 cm while maintaining connectivity around the body, and demonstrate efficient (∼10%) wireless power transfer using antennas optimized for interaction with surface plasmon modes. These results demonstrate that clothing integrated with metamaterial textiles could facilitate wireless powering of battery-free sensors around the body to sense and respond to physiological signals.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122469530","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}