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Accelerated testing of electrode degradation for validation of new implantable neural interfaces

Accelerated testing of electrode degradation for validation ...

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2022 ieee biomedical circuits and systems conference, BioCAS 2022

作者： Manatchinapisit, Vichaya Rapeaux, Adrien Williams, Ian Constandinou, Timothy G. Department of Electrical and Electronic Engineering Imperial College London SW7 2BT United Kingdom Centre for Bio-Inspired Technology Institute of Biomedical Engineering Imperial College London SW7 2AZ United Kingdom Care Research and Technology Centre Uk Dementia Research Institute United Kingdom

ISBN: (数字)9781665469173

ISBN: (纸本)9781665469173

Neural prostheses, such as cochlear implants or deep brain stimulators, can modulate neural activity and restore lost physiological function by performing electrical stimulation and neural recordings. However, prolonged stimulation can degrade electrodes and adversely affect their performance over long-term implantation. Therefore, integrating the electrodes' health monitoring system is required for new implantable neural interface designs. However, validating the electrode degradation monitoring system with in-vivo experiment is slow and highly challenging. Furthermore, artificially generating the degradation of electrodes in in-vitro analysis is also time-consuming. This paper proposes an experimental setup for accelerated electrode degradation by elevating temperature and electrical stimulation. In order to demonstrate feasibility, a previous generation electrode material (tungsten) was used, and Electrochemical Impedance Spectroscopy (EIS) was measured every hour to analyse the electrochemical properties. As a result, optical microscopy images, before and after testing, show the morphology changes of the tungsten wire electrodes. The minimum accelerated testing to create electrode failure was 6 hours. Following prolonged stimulation, the results show electrode erosion possibly exacerbated by the evolution of hydrogen gas, while the EIS plots illustrate the slight increase of impedance over time in certain frequency bands, likely due to the progressive decline of the electrode surface area. © 2022 ieee.

关键词： Electrochemical impedance spectroscopy

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Hardware evaluation of spike detection algorithms towards wireless brain machine interfaces

Hardware evaluation of spike detection algorithms towards wi...

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2022 ieee biomedical circuits and systems conference, BioCAS 2022

作者： Oprea, Alexandru Zhang, Zheng Constandinou, Timothy G. Department of Electrical and Electronic Engineering Imperial College London SW7 2BT United Kingdom Centre for Bio-Inspired Technology Institute of Biomedical Engineering Imperial College London SW7 2AZ United Kingdom Uk Dementia Research Institute Care Research and Technology Centre Imperial College London University of Surrey United Kingdom

ISBN: (数字)9781665469173

ISBN: (纸本)9781665469173

The current trend for implantable Brain Machine Interfaces (BMIs) is to increase the channel count, towards next generation devices that improve on information transfer rate. This however increases the raw data bandwidth for wired or wireless systems that ultimately impacts the power budget (and thermal dissipation). On-implant feature extraction and/or compression are therefore becoming essential to reduce the data rate, however the processing power is of concern. One common feature extraction technique for intracortical BMIs is spike detection. In this work, we have empirically compared the performance, resource utilization, and power consumption of three hardware efficient spike emphasizers: Non-linear Energy Operator (NEO), Amplitude Slope Operator (ASO) and Energy of Derivative (ED), and two common statistical thresholding mechanisms (using mean or median). We also propose a novel median approximation to address the issue of the median operator not being hardware-efficient to implement. These have all been implemented and evaluated on reconfigurable hardware (FPGA) to estimate their hardware efficiency in an ultimate ASIC design. Our results suggest that ED with average thresholding provides the most hardware efficient (low power/resource) choice, while using median has the advantage of improved detection accuracy and higher robustness on threshold multiplier settings. This work is significant because it is the first to implement and compare the hardware and algorithm trade-offs that have to be made before translating the algorithms into hardware instances to design wireless implantable BMIs. © 2022 ieee.

关键词： Budget control

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An Involuntary Liver Cancer Recognition in Abdominal Liver Imageries with Soft Optimization Methods in biomedical Application

An Involuntary Liver Cancer Recognition in Abdominal Liver I...

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2023 ieee International conference on Integrated circuits and Communication systems, ICICACS 2023

作者： Kumar, M. Vinodh Kumar Patra, Raj Veena, R. Siva Kumar Reddy, A. Sunil Kumar, V. Inventuriz Labs Pvt Ltd Bengaluru India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Vaadeswaram India Hyderabad Institute of Technology and Management Department of Computer Science and Engineering Telangana India K L University Vadeeshwaram Department of Computer Science & Engineering Vijayawada India Nitte Meenakshi Institute of Technology Department of Artificial Intelligence and Machine Learning Bengaluru India

ISBN: (纸本)9798350398465

A medical image recovery system can be used for a variety of useful purposes, one of which is the classification of medical images. When numerous different types of medical imaging evidence are accessible, it is essential to have accurate categorization models. Because of the CT paradigm in clinical diagnosis, radiologists are able to properly detect and monitor changes in the body's physiological state. The ability to differentiate between different types of tissues in a CT image based on the various grey rates along each line contributes significantly to the accuracy of a medical diagnosis. The standard practice for diagnosing cancer relies on scientific and histological data, both of which have the potential to lead to incorrect or erroneous findings. The liver, which may be found in the upper abdominal region of the external human form, is responsible for filtering the blood and getting rid of any toxins it discovers in the process. The distinction between the two types of cancer is taught through an artificial neural network in this method. A number of different parameters, including accuracy, area, correlation, entropy, homogeneity, contrast, and the similarity index, are employed to conduct an analysis of the impact. After that, researchers tried to enhance the early identification and treatment of liver cancer by segmenting and classifying liver tumors from CT images. This was done in order to gain a better understanding of the disease. The accuracy of the identification was raised to 99.63 percent thanks to the classifier and optimizer that was proposed. © 2023 ieee.

关键词： Medical imaging

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Live Demonstration: Real-Time and High-Speed Ion Imaging Using CMOS ISFET Arrays

Live Demonstration: Real-Time and High-Speed Ion Imaging Usi...

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ieee biomedical circuits and systems conference (ieee BioCAS)

作者： Kuang, Lei Zeng, Junming Georgiou, Pantelis Imperial Coll London Ctr Bioinspired Technol Inst Biomed Engn London SW7 2AZ England Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England

ISBN: (纸本)9781728172040

In this work, a complete Lab-on-chip platform for ion-imaging applications using CMOS ISFET Arrays is demonstrated. The platform consists of a front-end chip that integrates 128 x 128 Ion-Sensitive Field Effect Transistors (ISFETs) fabricated in standard CMOS 180nm process, a PCB bench for power management and signal pipeline, a dedicated high-speed data processing system that employs DDR4 SDRAMs on the FPGA development board with a FIFO-to-USB3.0 bridge for data dumping, and an user interface for tuning and monitoring of the 3-D array images. Inspired by CMOS imagers, we present an end-to-end solution for delivering high-frequency ion images either at 1000 fps in real time or in slow-motion replay, for analysing novel ion interactions with the aid of data processing algorithms.

关键词： Array signal processing User interfaces Ions Data processing Real-time systems Arrays SDRAM

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Live Demonstration: Real-Time Calcium Trace Extraction from Large-Field-of-View Miniscope

Live Demonstration: Real-Time Calcium Trace Extraction from ...

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ieee biomedical circuits and systems conference (ieee BioCAS)

作者： Chen, Zhe Blair, Garrett J. Guo, Changliang Aharoni, Daniel Blair, Hugh T. Cong, Jason UCLA Comp Sci Dept Los Angeles CA 90095 USA UCLA Dept Psychol Los Angeles CA USA UCLA Dept Neurol Los Angeles CA 90024 USA

ISBN: (纸本)9781728172040

We demonstrate a prototype system ACTEV for acceleration of calcium trace extraction from video captured by a large-field-of-view (LFOV) Miniscope at 22.8 fps. The ACTEV consists of an FPGA accelerator for the calcium image processing, an interface PCB for the data transmission and a GUI software for the user interaction. The FPGA accelerator takes a stream of 512x512 calcium images as input, executes motion correction, image enhancement and trace extraction from 1024 cells per frame with <1ms latency. The PCB transmits the raw calcium video and extracted traces to the host computer over an Ethernet interface. The GUI displays the received images and traces simultaneously for the user. The user can observe the motion corrected video and extracted traces from individual cells as the rat freely runs on a linear track.

关键词： Tracking Calcium Prototypes Streaming media Rats Software Real-time systems

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Session 32 Overview: Intelligent biomedical circuits and systems

Session 32 Overview: Intelligent Biomedical Circuits and Sys...

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ieee International conference on Solid-State circuits (ISSCC)

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Orientation-Insensitive Multi-Antenna Reader for Wireless biomedical Applications

Orientation-Insensitive Multi-Antenna Reader for Wireless Bi...

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ieee biomedical circuits and systems conference (ieee BioCAS)

作者： Udayanga, Nilan Lin, Yubin Monge, Manuel Univ Southern Calif Los Angeles CA 90089 USA

ISBN: (纸本)9781728172040

This paper presents a multi-antenna external reader system that enables orientation insensitive communication with implantable medical devices (IMDs) for wireless biomedical applications. The proposed system consists of a circular array with six loop antennas. The antenna placement and orientations are determined by analyzing the near-field magnetic field variations of the loop antenna. The proposed system is first simulated using HFSS electromagnetic simulation software. Our simulations show that the received power at the proposed external reader with six antennas only varies about 5 dB for any given orientation of the implanted antenna, which is highly significant compared to the 20-35 dB variation with a single external antenna. Here, we select the antenna which provides the largest coupling between the IMD to receive/transmit signals. A prototype of the proposed multi-antenna external reader is then implemented using custom-designed PCBs that interconnect loop antennas, transceiver ICs, and commercially-available circuit components. A custom PCB with a miniaturized loop antenna is used to emulate an implantable device. Based on measurement results, the received power in the external reader only varies about 3 dB when the miniaturized antenna rotates with respect to the x-axis. These measurements show good agreement with the simulated reader.

关键词： Implantable medical devices Orientationin-sensitive communication Multi-antenna external reader

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Compressed Sensing Inspired Neural Decoder for Undersampled MRI with Self-Assessment

Compressed Sensing Inspired Neural Decoder for Undersampled ...

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ieee biomedical circuits and systems conference (ieee BioCAS)

作者： Martinini, Filippo Mangia, Mauro Pareschi, Fabio Rovatti, Riccardo Setti, Gianluca Univ Bologna DEI Bologna Italy Univ Bologna ARCES Bologna Italy Politecn Torino DEI Turin Italy

ISBN: (纸本)9781728172040

An important problem in magnetic resonance imaging (MRI) is the long time lapse required to acquire a fully sampled, high resolution scan. To speed up acquisition, Compressed Sensing (CS) has been used and recently coupled with Neural Networks (NN). In the latter setting, commonly CS has been split into two different problems: i) design of the encoder, or selection of the undersampling pattern, and ii) design of the decoder. A significant progress was recently introduced by a solution (called LOUPE) where encoding and decoding are simultaneously addressed. Here we propose an improvement of this model, called "regularized-LOUPE" (r-LOUPE), which add measurement constraint into the picture, resulting in a x8 speed-up in the MRI acquisition time. A further benefit of our methodology is that measurement constraint can be leveraged to implement a self-assessment tool able to predict the reconstruction error and to identify possible out-layers.

关键词： Magnetic resonance imaging Measurement uncertainty biomedical measurement Time measurement Robustness Decoding Image reconstruction

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Live Demonstration: A Smart Ring for OSAHS Detection Based on Photoplethysmography

Live Demonstration: A Smart Ring for OSAHS Detection Based o...

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ieee biomedical circuits and systems (BIOCAS)

作者： Zhizhang Li Bin Liu Hongbo Guo Hao Wu Cheng Chen Guoxing Wang Department of Micro/Nano Electronics Shanghai Jiao Tong University Shanghai China Shenzhen Ninenovo Technology Limited Shenzhen China

ISBN: (数字)9798350354959

ISBN: (纸本)9798350354966

This demonstration presents a smart ring for obstructive sleep apnea-hypopnea syndrome (OSAHS) detection based on photoplethysmography (PPG), which integrates a PPG front-end circuit. Compared to the traditional polysomnography (PSG) method, the smart ring offers a more convenient, more portable and less invasive alternative. With the smart ring, users can directly view their overnight OSAHS events and apneahypopnea index (AHI) in the RingConn APP.

关键词： circuits and systems Photoplethysmography Sleep apnea Indexes

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Design, Development and Validation of a Portable Visual P300 Event-Related Potential Extraction System

Design, Development and Validation of a Portable Visual P300...

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2022 ieee biomedical circuits and systems conference, BioCAS 2022

作者： Joshi, Rathin K. Manu, K.S. Hari, R.S. Jayachandra, Mahesh Pandya, Hardik J. Indian Institute of Science Division of Eecs Department of Electronic Systems Engineering Bangalore India Indian Institute of Science Center for BioSystems Science and Engineering Bangalore India

ISBN: (数字)9781665469173

ISBN: (纸本)9781665469173

Event-related potentials (ERPs), specifically neuro-potentials, provide important clinical information about cognition and sensory-motor systems. P300 is a critical involuntary endogenous ERP elicited in response to a specific change in stimuli and can be used as a metric to assess attention. A noninvasive, cost-effective P300 extractor system was designed, developed, and validated for subjective attention and working memory assessment. Standard P300 three-event visual stimuli, consisting of randomly occurring small ball, big ball (response required), and checkerboard, were generated using code in the Presentation software. These stimuli were presented to subjects using a head-mounted display (HMD). Scalp-recorded P300 responses were acquired using an Open BCI Cyton biosensing board from young adults (n=5). To validate the extracted P300 response, the experiment was repeated on the same subjects using an FDA-approved CE-certified Neuroelectric Enobio 8 system. The extracted biopotential patterns from Cz and Pz electrodes, including peak latencies for P3a and P3b components, matched in both reference and developed systems. Furthermore, the ERP imaging shows inter-trial variabilities, and a gradual increment in peak latency confirms the fatigue phenomenon during the experiment. © 2022 ieee.

关键词： Cost effectiveness

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