A. Mifsud, Dorian Haci, S. Ghoreishizadeh, Yan Liu, T. Constandinou
{"title":"Adaptive power regulation and data delivery for multi-module implants","authors":"A. Mifsud, Dorian Haci, S. Ghoreishizadeh, Yan Liu, T. Constandinou","doi":"10.1109/BIOCAS.2017.8325208","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325208","url":null,"abstract":"Emerging applications for implantable devices are requiring multi-unit systems with intrabody transmission of power and data through wireline interfaces. This paper proposes a novel method for power delivery within such a configuration that makes use of closed loop dynamic regulation. This is implemented for an implantable application requiring a single master and multiple identical slave devices utilising a parallel-connected 4-wire interface. The power regulation is achieved within the master unit through closed loop monitoring of the current consumption to the wired link. Simultaneous power transfer and full-duplex data communication is achieved by superimposing the power carrier and downlink data over two wires and uplink data over a second pair of wires. Measured results using a fully isolated (AC coupled) 4-wire lead, demonstrate this implementation can transmit up to 120 mW of power at 6 V (at the slave device, after eliminating any losses). The master device has a maximum efficiency of 80 % including a dominant dynamic power loss. A 6 V constant supply at the slave device is recovered 1.5 ms after a step of 22 mA.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123049954","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":"CPG-based circuitry for controlling musculoskeletal model of human locomotor system","authors":"A. Shachykov, P. Hénaff, A. Popov, A. Shulyak","doi":"10.1109/BIOCAS.2017.8325131","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325131","url":null,"abstract":"In this paper, a new neuro-musculoskeletal simulator of human locomotor system is presented. This simulator is dedicated to reproduce healthy or altered walking gaits. It contains three joints per leg (hip, knee, ankle) controlled by twelve human muscle models activated by six specific models of central pattern generator (CPG). The CPG consists of three layers and four types of neurons and controls human leg joints. The CPGs are able to generate variable rhythmic signals by changing their intrinsic neural parameters which are controlled by descending signals from mesencephalic locomotor region (MLR), while output signals of motoneurons of CPGs control muscle models. Simulation results in Matlab show that it is possible to generate different stable walking gaits by changing intrinsic parameters of CPGs. According to these changes, the simulator can exhibit coherent or incoherent coordination between the two legs and consequently, stable or unstable walking gaits starting from the double support phase. Results show that this simulator will allow to reproduce walking gaits altered by basal ganglia decision-making system affected by Parkinson's disease.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130025173","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":"Recombinase-based genetic circuit optimization","authors":"Chun-Ning Lai, J. H. Jiang, F. Fages","doi":"10.1109/BIOCAS.2017.8325220","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325220","url":null,"abstract":"The rapid advancements of synthetic biology show promising potential in biomedical and other applications. Recently, recombinases were proposed as a tool to engineer genetic logic circuits with long-term memory in living and even mammalian cells. The technology is under active development, and the complexity of engineered genetic circuits grows continuously. However, how to minimize a genetic circuit composed of recombinase-based logic gates remain largely open. In this paper, we formulate the problem as a cubic-time assignment problem and solved by a 0/1-ILP solver to minimize DNA sequence length of genetic circuits. Experimental results show effective reduction of our optimization method, which may be crucial to enable practical realization of complex genetic circuits.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116604319","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 wireless system for continuous in-mouth pH monitoring","authors":"Daryl Ma, Christine Mason, S. Ghoreishizadeh","doi":"10.1109/BIOCAS.2017.8325556","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325556","url":null,"abstract":"A first prototype of a Smart Orthodontic Bracket (SOB) for continuous in-mouth pH monitoring is presented in this paper. The SOB system uses an Iridium Oxide (IrOx) pH sensor with 68.8 mV/pH measured sensitivity. It is powered through Near Field Communications (NFC) using a smartphone from a distance of 3.5 cm. The system resolves pH variations as small as 0.15 within a wide range of pH. The system is encapsulated in bio-compatible epoxy resin and successfully used to measure the pH in saliva.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126698635","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}
K. Szostak, Federico Mazza, M. Maslik, Lieuwe B. Leene, Peilong Feng, T. Constandinou
{"title":"Microwire-CMOS integration of mm-scale neural probes for chronic local field potential recording","authors":"K. Szostak, Federico Mazza, M. Maslik, Lieuwe B. Leene, Peilong Feng, T. Constandinou","doi":"10.1109/BIOCAS.2017.8325185","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325185","url":null,"abstract":"This paper proposes a novel method for integrating CMOS microelectronics with microwire-based electrodes for next generation implantable brain machine interfaces. There is strong evidence to suggest that microwire-based electrodes outperform micromachined and polymer-based electrodes in terms of signal integrity and chronic viability. Furthermore, it has been shown that the recording of Local Field Potentials (LFPs) is more robust to tissue damage and scar tissue growth when compared to action potentials. This work therefore investigates the suitability of microwire electrodes for LFP recording by studying the electrical properties of key materials. We identify Niobium (Nb) as a candidate material with highly desirable properties. There is however also an inherent incompatibility when it comes to connection of microwire-based electrodes to silicon chips. Here we present a new process flow utilising a recessed glass substrate for mechanical support, silicon interposer for interconnection, and electroplating for contact adhesion. Furthermore, the proposed structure lends itself to hermetic encapsulation towards gas cavity based micropackages.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123203456","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":"Cortical motor intention decoding on an analog co-processor with fast training for non-stationary data","authors":"Shoeb Shaikh, Yi Chen, A. Basu, R. So","doi":"10.1109/BIOCAS.2017.8325073","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325073","url":null,"abstract":"This paper presents a low power hardware implementation of a motor intention decoder used in intra-cortical Brain Machine Interfaces. It offers two specific advantages over current state of the art decoders. Firstly, the decoding is done on an analog co-processor instead of a personal computer thereby reducing both the power consumption and size of the overall system. Secondly, the co-processor employs a randomized neural network — extreme learning machine (ELM), which is as quick to train as the linear decoders while being adept at capturing the complex non-linear mappings between the neural activity and the intended movements. Results show an average 10% improvement in decoding accuracy over linear discriminant analysis in non-stationary datasets.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122480155","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":"Efficient through-waveguide wireless power transfer for body area networks","authors":"A. Vorobyov, Vladimir Kopta, J. Farserotu, C. Enz","doi":"10.1109/BIOCAS.2017.8325112","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325112","url":null,"abstract":"This paper focuses on a solution for wireless powering of sensor nodes embedded in an artificial “skin”, used to provide a sense of touch to persons using prosthetic limbs. The artificial “skin”, that consists of an inner dielectric layer with top and bottom soft metallization, acts as a waveguide, providing means to efficiently guide electromagnetic power to sensor nodes. The proposed solution allows removal of wired connections between soft metallization layers and sensor nodes, that are identified as the primary source of failure. Depending on node distances and propagation conditions, measurements indicate that the available power at the receiving node ranges from 46.8 % to 66.1 % of the transmitted power. Lower efficiency, compared to wired powering, is thus traded for higher reliability and reduced production cost.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130214255","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}
A. Pirog, Y. Bornat, S. Renaud, R. Perrier, M. Jaffredo, M. Raoux, J. Lang
{"title":"A versatile electrode sorting module for MEAs: Implementation in a FPGA-based real-time system","authors":"A. Pirog, Y. Bornat, S. Renaud, R. Perrier, M. Jaffredo, M. Raoux, J. Lang","doi":"10.1109/BIOCAS.2017.8325154","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325154","url":null,"abstract":"Extracellular recordings of biological signals using Multi-Electrode Arrays (MEAs) generate large quantities of multichannel data which are not all relevant. Indeed, cultured cells might not cover all electrodes or achieve sufficient electrical contact. In both bench experiments and implant-oriented devices, it is necessary to identify such defects and exclude corresponding electrodes from the processing pool. In the context of a real-time, FPGA-based multichannel signal processing system, this paper presents a versatile electrode sorting module. It uses low-complexity, user-configurable algorithms and supports synchronization, frequency, and amplitude criteria, as well as definable inclusion/exclusion rules. This module relieves the experimenter from constantly monitoring unusual behavior and promotes automatization. The module's efficacy was demonstrated during in vitro experiments on noise-prone pancreatic islets.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131234607","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":"Measurement of energy transmission efficiency of transcutaneous energy transformer in NaCl solution for ventricular assist devices by reducing common-mode current in the range of 200–1500 kHz","authors":"T. Kaga, K. Shiba","doi":"10.1109/BIOCAS.2017.8325213","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325213","url":null,"abstract":"The air-core transcutaneous energy transmission system (TETS) uses magnetic fields to transfer energy wirelessly to a ventricular assist device; the energy is transferred from a coil placed on the surface of the body (primary coil) to one inside the body. Accurate measurement of efficiency of the TETS is difficult because of the large common-mode (CM) current which flows through the ground line and the low sampling rate of the measurement equipment. In this study, a CM choke coil and a floating type measurement equipment were used to reduce the CM current flowing through the ground. Furthermore, the value of the efficiency obtained from measurements made using a floating oscilloscope with a high sampling rate was compared with the theoretical estimate of the efficiency when the transformer was kept immersed in NaCl solution to imitate the human biological tissue. In the range of 200–1500 kHz, it was possible to effectively suppress the CM current in the NaCl solution; the ratio of the primary current I1 to the CM current Icm obtained in the improved method was 21% less compared to the corresponding ratio in the conventional method. At the frequency of 500 kHz, in the NaCl solution, the maximum measured value of efficiency was 91.82%, whereas the theoretical estimate was 93.50%. The measured efficiency in the improved measurement method is in good agreement with the theoretical efficiency.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116654785","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":"Power analysis of a mobile EEG system with compressed sensing","authors":"Bathiya Senevirathna, P. Abshire","doi":"10.1109/BIOCAS.2017.8325159","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325159","url":null,"abstract":"We analyze the power tradeoffs for computation and transmission in a mobile electroencephalography (EEG) system. The EEG system comprises an analog front end, microcontroller, and wireless transceiver. We measured the power consumption of the system under a variety of conditions in order to estimate the power attributable to each component separately. We developed simple models for power consumption that incorporate transient power behavior of the devices and estimated parameters by fitting experimental data to the models. We found that the costs of transmission and computation were similar, with transmission power decreasing and computation power increasing with the compression ratio and all costs increasing with the number of channels. For the system configuration reported, the transmission costs dominated, leading to the conclusion that the system should be operated with: a) the lowest clock rate for the microcontroller; and b) the highest data compression consistent with system fidelity requirements. A discussion of tradeoffs in alternate system configurations is provided.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125091502","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}