{"title":"Electronics for a Safe Direct Current Stimulator.","authors":"Patrick Ou, Gene Fridman","doi":"10.1109/BIOCAS.2017.8325191","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325191","url":null,"abstract":"<p><p>Commercially available neuroprostheses, while successful and effective, are limited in their functionality by their reliance on pulsatile stimulation. Direct current (DC) has been shown to have great potential for the purposes of neuromodulation; however, direct current cannot be applied directly to neurons due to the charge injection thresholds of electrodes. We are developing a Safe Direct Current Stimulator (SDCS) that applies ionic direct current (iDC) without inducing toxic electrochemical reactions. The current design of the SDCS uses a series of eight valves in conjunction with four electrodes to rectify ionic current in microfluidic channels. This paper outlines the design, implementation, and testing of the electronics of the SDCS. These electronics will ultimately be interfaced with a separate microfluidic circuit in the device prototype. Testing the outputs of the electronics confirmed adherence to its design requirements. The completion of the SDCS electronics enables the further development of iDC as a mechanism for neuromodulation.</p>","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2017 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/BIOCAS.2017.8325191","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36657946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vijay Viswam, Yihui Chen, Amir Shadmani, Jelena Dragas, Raziyeh Bounik, Radivojevic Milos, Jan Müller, Andreas Hierlemann
{"title":"2048 Action Potential Recording Channels with 2.4 µVrms Noise and Stimulation Artifact Suppression.","authors":"Vijay Viswam, Yihui Chen, Amir Shadmani, Jelena Dragas, Raziyeh Bounik, Radivojevic Milos, Jan Müller, Andreas Hierlemann","doi":"10.1109/BioCAS.2016.7833750","DOIUrl":"10.1109/BioCAS.2016.7833750","url":null,"abstract":"<p><p>Here, we present 2048 low-noise, low-offset, and low-power action-potential recording channels, integrated in a multi-functional high-density microelectrode array. A resistively loaded open-loop topology has been adapted for the first-stage amplifier to achieve 2.4 µVrms noise levels at low power consumption. Two novel pseudo-resistor structures have been used to realize very low HPF corner frequencies with small variations across all channels. The adjustability of pseudo resistors has been exploited to realize a \"soft\" reset technique that suppresses stimulation artifacts so that the amplifiers can recover from saturation within 200 µs. The chips were fabricated in a 0.18 µm 6M1P CMOS process, and measurement results are presented to show the performance of the proposed circuit structures and techniques.</p>","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2016 ","pages":"136-139"},"PeriodicalIF":0.0,"publicationDate":"2017-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953405/pdf/emss-77675.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36109558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic Drift Cancellation of Implanted Bladder Pressure Sensor.","authors":"Steve Majerus, Margot S Damaser","doi":"10.1109/BioCAS.2015.7348430","DOIUrl":"https://doi.org/10.1109/BioCAS.2015.7348430","url":null,"abstract":"<p><p>Implanted pressure sensors suffer from long-term offset drift due to atmospheric changes, package moisture absorption, and patient factors such as posture, implant shift, and tissue overgrowth. Traditionally, wide dynamic range instrumentation is used to satisfy the full-scale and sensitivity requirements for a given application. Transmission of extra bits greatly increases the power draw of an implanted medical device, and simple AC-coupling cannot monitor static pressures. We present a mixed-signal offset cancellation loop to maximize the AC dynamic range of instrumentation circuitry. A digital implementation allows for designer control of the cancellation system time constant and was specifically designed for power-gated pressure sensors. Pressure offset is calculated by digital integration and a bipolar IDAC with coarse/fine tuning injects an offset-cancelling current into a standard piezoresistive MEMS pressure sensor. Test results showed a dynamic range increase of 2.9 bits using dynamic offset cancellation, for an effective sensing range of 11 bits using 8-bit instrumentation. The measured step response of the system showed an overall highpass response of 2.3 - 3.8 mHz. This approach is therefore relevant for bio-sensing of pressures in organs with a very slow physiologic response, e.g. the bladder.</p>","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2015 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/BioCAS.2015.7348430","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38908520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Steve Majerus, Iryna Makovey, Hui Zhui, Wen Ko, Margot S Damaser
{"title":"Wireless Implantable Pressure Monitor for Conditional Bladder Neuromodulation.","authors":"Steve Majerus, Iryna Makovey, Hui Zhui, Wen Ko, Margot S Damaser","doi":"10.1109/biocas.2015.7348337","DOIUrl":"https://doi.org/10.1109/biocas.2015.7348337","url":null,"abstract":"<p><p>Conditional neuromodulation in which neurostimulation is applied or modified based on feedback is a viable approach for enhanced bladder functional stimulation. Current methods for measuring bladder pressure rely exclusively on external catheters placed in the bladder lumen. This approach has limited utility in ambulatory use as required for chronic neuromodulation therapy. We have developed a wireless bladder pressure monitor to provide real-time, catheter-free measurements of bladder pressure to support conditional neuromodulation. The device is sized for submucosal cystoscopic implantation into the bladder. The implantable microsystem consists of an ultra-low-power application specific integrated circuit (ASIC), micro-electro-mechanical (MEMS) pressure sensor, RF antennas, and a miniature rechargeable battery. A strategic approach to power management miniaturizes the implant by reducing the battery capacity requirement. Here we describe two approaches to reduce the average microsystem current draw: switched-bias power control and adaptive rate transmission. Measurements on human cystometric tracings show that adaptive transmission rate can save an average of 96% power compared to full-rate transmission, while adding 1.6% RMS error. We have chronically implanted the wireless pressure monitor for up to 4 weeks in large animals. To the best of our knowledge these findings represent the first examples of catheter-free, real-time bladder pressure sensing from a pressure monitor chronically implanted within the bladder detrusor.</p>","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2015 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/biocas.2015.7348337","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39178012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On Using Residual Voltage to Estimate Electrode Model Parameters for Damage Detection.","authors":"Ashwati Krishnan, Shawn K Kelly","doi":"10.1109/BioCAS.2015.7348354","DOIUrl":"https://doi.org/10.1109/BioCAS.2015.7348354","url":null,"abstract":"<p><p>Current technology has enabled a significant increase in the number of electrodes for electrical stimulation. For large arrays of electrodes, it becomes increasingly difficult to monitor and detect failures at the stimulation site. In this paper, we propose the idea that the residual voltage from a biphasic electrical stimulation pulse can serve to recognize damage at the electrode-tissue interface. We use a simple switch circuit approach to estimate the relaxation time constant of the electrode model, which essentially models the residual voltage in biphasic electrical stimulation, and compare it with standard electrode characterization techniques. Out of 15 electrodes in a polyimide-based SIROF array, our approach highlights 3 damaged electrodes, consistent with measurements made using cyclic voltammetry and electrode impedance spectroscopy.</p>","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2015 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/BioCAS.2015.7348354","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34430731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of a low-power adaptive LMS equalizer for hearing-aid applications","authors":"J. P. Cerqueira, S. Haddad","doi":"10.1109/BioCAS.2014.6981810","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981810","url":null,"abstract":"This paper presents the design process and partial results of a low-power adaptive least mean squares (LMS) equalizer for hearing-aid applications. Energy efficiency is achieved by using a fully-serial (FS) architecture working in the above-threshold region. Prototype chips have been sent to manufacture in a standard CMOS 0.18 μm process. Partial results, comparing the behavioral and functional models, have shown a maximum error of 2.54% for the same inputs and channel characteristics. By choosing an architecture in which the priority is energy consumption rather than speed, it was possible to achieve about 140 nJ energy dissipation per sample.","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"14 1","pages":"651-654"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83590189","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}
Shawn K Kelly, William F Ellersick, Ashwati Krishnan, Patrick Doyle, Douglas B Shire, John L Wyatt, Joseph F Rizzo
{"title":"Redundant safety features in a high-channel-count retinal neurostimulator.","authors":"Shawn K Kelly, William F Ellersick, Ashwati Krishnan, Patrick Doyle, Douglas B Shire, John L Wyatt, Joseph F Rizzo","doi":"10.1109/BioCAS.2014.6981701","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981701","url":null,"abstract":"<p><p>Safety features embedded in a 256-channel retinal prosthesis integrated circuit are presented. The biology of the retina and the electrochemistry of the electrode-tissue interface demand careful planning and design of the safety features of an implantable retinal stimulation device. We describe the internal limits and communication safety features of our ASIC, but we focus on monitoring and protection circuits for the electrode-tissue interface. Two independent voltage monitoring circuits for each channel measure the electrode polarization voltage at two different times in the biphasic stimulation cycle. The monitors ensure that the charged electrode stays within the electrochemical water window potentials, and that the discharged electrode is within a small window near the counter electrode potential. A switch to connect each electrode to the counter electrode between pulses protects against a wide range of device failures. Additionally, we describe work on an active feedback system to ensure that the electrode voltage is at zero.</p>","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2014 ","pages":"216-219"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/BioCAS.2014.6981701","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34430730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexander Sun, Travis Wambach, A G Venkatesh, Drew A Hall
{"title":"A Low-Cost Smartphone-Based Electrochemical Biosensor for Point-of-Care Diagnostics.","authors":"Alexander Sun, Travis Wambach, A G Venkatesh, Drew A Hall","doi":"10.1109/BioCAS.2014.6981725","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981725","url":null,"abstract":"<p><p>This paper describes the development of a smartphone-based electrochemical biosensor module. The module contains a low power potentiostat that interfaces and harvests power from a smartphone through the phone's audio jack. A prototype with two different potentiostat designs was constructed and used to conduct proof of concept cyclic voltammetry experiments with potassium ferro-/ferricyanide (K<sub>4</sub>[Fe(CN)<sub>6</sub>] / K<sub>3</sub>[Fe(CN)<sub>6</sub>]) in a side-by-side comparison with a laboratory grade instrument. Results show that the module functions within the available power budget and that the recovered voltammogram data matches well with the data from an expensive bench top tool. Excluding the loses from supply rectification and regulation, the module consumes either 5.7 mW or 4.3 mW peak power, depending on which of the two discussed potentiostat designs is used. At single quantity pricing, the hardware for the prototype device costs less than $30.</p>","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2014 ","pages":"312-315"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/BioCAS.2014.6981725","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33288948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wheeze detection using fractional Hilbert transform in the time domain","authors":"Zhenzhen Li, Xiaoming Wu","doi":"10.1109/BioCAS.2012.6418433","DOIUrl":"https://doi.org/10.1109/BioCAS.2012.6418433","url":null,"abstract":"","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"30 6","pages":"316-319"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91437383","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}