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TinyIOMS: A Wireless Miniaturised System for Monitoring Hemodynamics from Surface Brain Regions

TinyIOMS: A Wireless Miniaturised System for Monitoring Hemo...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Bisht, Anupam Yu, Linhui Cheng, Ning Murari, Kartikeya University of Calgary Dept. of Biomedical Engineering Calgary Canada University of Calgary Dept. of Electrical and Software Engineering Calgary Canada University of Calgary Hotchkiss Brain Insititute Calgary Canada University of Calgary Faculty of Veterinary Medicine Calgary Canada University of Calgary Alberta Children's Hospital Research Institute Calgary Canada

ISBN: (纸本)9798350300260

Studies to understand blood flow-related changes in the brain are important to the neuroscience community. However, lightweight, standalone and tether-free devices for performing such studies in freely moving animals are limited. In this work, we present a novel miniaturised intrinsic optical measurement system, called TinyIOMS (i.e., Tiny intrinsic optical measurement system). TinyIOMS is a standalone, miniaturized (1.2 g), low power and cost-effective, head-mountable point detector system to monitor hemodynamics. Here, we present the electronic characterization of the device and show a proof-of-concept study for detecting hemodynamics changes through an optical liquid phantom-based study. Results are promising and motivate us to perform preclinical studies linking surface cortical hemodynamics with behaviour in freely moving rodents. © 2023 ieee.

关键词： freely moving animals Hemodynamics neurovascular coupling

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A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding

A Sparsity-Adapted Hardware Implementation of SNN for Cortic...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Li, Tuoru Yang, Jie Liu, Tengjun Dong, Shurong Fang, Chaoming Chen, Weidong Zhang, Shaomin Zhejiang University Qiushi Academy for Advanced Studies Department of Biomedical Engineering Hangzhou China Westlake University CenBRAIN Neurotech Hangzhou China Zhejiang University College of Information Science & Electronic Engineering Hangzhou China

ISBN: (纸本)9798350300260

Neural decoding plays a crucial role in brain-computer interfaces (BCI), which is the basis for applications such as motion control and BCI-based rehabilitation. However, current neural decoding tasks are carried out with bulky, high-latency and power-consuming computers, which becomes a significant bottleneck for the development of next-generation wearable and implantable BCI systems. In this paper, we presented a Spiking neural network (SNN) processor based on adaptive Leaky Integrate-and-Fire (LIF) neurons for decoding monkey cortical spike trains collected in a 4-direction joystick reaching task. The proposed processor leveraging the temporal sparsity inherent in neural signals and SNN to reduce hardware resource requirements. Implemented on FPGA, it achieves a sparse matrix compression operation for single-bit data, which reduces dynamic power consumption and accelerates the inference between layers. Validated with our dataset, it achieves a 2.8% accuracy improvement and reduces spike counts by 70 % compared to feed-forward standard SNN, which means that the model is a suitable choice for energy-saving neural decoding at the edge. © 2023 ieee.

关键词： adaptive LIF neurons hardware implementation SNN sparse matrix operation

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A Transformer Encoder and Convolutional Neural Network Combined Method for Classification of Error-related Potentials

A Transformer Encoder and Convolutional Neural Network Combi...

引用

2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Ren, Guihong Mahmoud, Seedahmed S. Kumar, Akshay Fang, Qiang Yu, Boyuan Shantou University Department of Biomedical Engineering Shantou China

ISBN: (纸本)9798350300260

Background and Objectives. As an inherent feedback mechanism in humans, Error-related Potentials (ErrPs) signals have received increasing attention for their potential to improve the accuracy and efficiency of Brain-computer interface (BCI) systems. However, the successful detection of ErrPs signals in a single trial is a great challenge due to the low signal-to-noise ratio (SNR) and the high individual differences. In this study, we propose a novel method that combines convolutional layers and transformer encoder modules to classify ErrPs from electroencephalogram (EEG) signals. Methods. The raw data from all electrode channels were chosen as the inputs of the proposed method and two different dataset partition ways, which include within-session and cross-subject, were used to test the proposed model. The dataset used for evaluation is the 'Monitoring error-related potentials' dataset of the BNCI Horizon 2020. Results. For within-session classification, a mean accuracy of 88.50%, an AUROC of 0.95, and a F1-score of 0.82 using stratified 10-fold cross-validation were achieved. For cross-subject classification, the average accuracy, AUROC, and Fl-score have reached 82.89%, 0.90, and 0.71 respectively. The results obtained outperformed the state-of-the-art methods. Conclusions. The results showed the ability of transformer-based deep learning (DL) method in detecting ErrPs signals from low SNR EEG data and shed light on improving the performance of BCI systems. © 2023 ieee.

关键词： brain-computer interface convolutional neural network Error-related potential transformer encoder

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Considerations for Intraoperative Laser Speckle Contrast Imaging for Vessel Flow Visualization

Considerations for Intraoperative Laser Speckle Contrast Ima...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Dimanche, Alexis Miller, David R. Dunn, Andrew K. The University of Texas at Austin Dept. of Biomedical Engineering Austin United States Dynamic Light Inc Austin United States The Univeristy of Texas at Austin Dept. of Biomedical Engineering AustinTX United States

ISBN: (纸本)9798350300260

Laser speckle contrast imaging (LSCI) has emerged as a promising non-invasive optical technique for assessing blood flow dynamics in clinical settings, including neurosurgery. This study aimed to illustrate the challenges and limitations associated with intraoperative LSCI-based blood flow assessment. A custom microscope-integrated LSCI device was utilized in 20 neurosurgical procedures, providing real-time high-resolution imaging. Two clinical observations were reported, highlighting the impact of static scattering and limited penetration depth on LSCI measurements. Calcified vessel walls affected the speckle contrast values, emphasizing the importance of precise thresholding for meaningful blood flow visualization and intraoperative display. Furthermore, LSCI demonstrated limited capability in assessing blood flow within thick vessels such as the carotid artery. The results shed light on the potential applications and limitations of LSCI in surgical interventions, emphasizing the need for further research. Overall, LSCI shows promise as a valuable tool for evaluating tissue perfusion and vessel flow, but careful consideration of its limitations is crucial for successful implementation in clinical practice. © 2023 ieee.

关键词： aneurysm blood flow imaging Laser speckle contrast imaging neurosurgery speckle contrast

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Tone Stimulus Detection For Rats Using RRAM-Based Local Field Potential Monitoring

Tone Stimulus Detection For Rats Using RRAM-Based Local Fiel...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Sbandati, Caterina Stathopoulos, Spyros Foster, Patrick Peer, Noam D. Serb, Alexantrou Wang, Shiwei Cohen, Dana Prodromakis, Themis University of Edinburgh Institute for Integrated Micro and Nano Systems School of Engineering EH9 3BF United Kingdom Bar-Ilan University The Gonda Brain Research Center Ramat-Gan52900 Israel

ISBN: (纸本)9798350300260

The comprehension of brain activity presents significant challenges in the field of neuroscience. Contrary to spikes, Local Field Potentials (LFPs) present improved stability acquisition in chronic implant scenarios and potential reductions in sampling and processing rates. While existing electrophysiology acquisition systems focus predominantly on spike detection and sorting, there is a lack of real-time tools for exploiting LFPs. To address this gap, we present a Resistive-RAM (RRAM) based approach to process LFP traces. Our method follows an improved Memristive Integrating Sensor (MIS) protocol to effectively detect LFP events recorded from the deep-brain of an awake rat, while externally stimulated by a tone. Experimental results demonstrate the feasibility of real-time neural activity processing, offering insights into detecting meaningful external stimuli and facilitating efficient neural state estimation. © 2023 ieee.

关键词： bio-signal processing edge processing local field potential (LFP) memristor real-time detection RRAM

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High-Speed Operational Amplifier Based on a Modified 'Folded' Cascode

High-Speed Operational Amplifier Based on a Modified 'Folded...

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2024 ieee Ural-Siberian conference on biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024

作者： Kuznetsov, Dmitry Titov, Alexey Prokopenko, Nikolay Butyrlagin, Nikolay Don State Technical University Department Of Information Systems And Radio Engineering Rostov-on-Don Russia Southern Federal University Department Of Automatic Control Systems Rostov-on-Don Russia

ISBN: (纸本)9798350362893

A CBjT high-speed operational amplifier (op-amp) has been developed and studied, which differs from known in its modified input stage (IS), as well as the architecture of the intermediate 'folded' cascode (FC). The proposed circuits IS and FC circuits solve the problem of increasing the maximum slew rate of the output voltage (SR) in large-signal mode by more than 10 times. In the LTspice environment, computer simulation of an op-amp on complementary bipolar transistors was performed, which shows that the use of the developed transient correction circuits makes it possible to increase SR from 103 V/μs to 1408 V/μs. The logarithmic amplitude-frequency characteristics of the op-amp under study are given for different options for its inclusion - with and without general negative feedback. The leading and trailing edges of the op-amp transient process were studied with an input rectangular pulse signal with an amplitude of 5V at different values of the capacitance of the additional correction capacitor Ck1. The simulation results are presented in the form of a table that establishes the relationship between the numerical values of the maximum rate of rise of the output voltage of the op-amp and the capacitance Ck1. The considered op-amp is recommended for use in various automation devices and communication systems, for example, discrete-analog filters on switched capacitors, high-speed ADC drivers, etc. © 2024 ieee.

关键词： Operational amplifiers

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Wearable Bioimpedance Sensor Characterization for Blood Flow Monitoring

Wearable Bioimpedance Sensor Characterization for Blood Flow...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Sel, Kaan Asgar, Seyed Ali Ghazi Osman, Deen Wu, Peiyun Jafari, Roozbeh Texas A&m University Department of Electrical and Computer Engineering College StationTX United States Texas A&m University School of Engineering Medicine HoustonTX United States

ISBN: (纸本)9798350300260

Bioimpedance is a powerful wearable sensing modality for continuous and non-invasive human deep tissue monitoring. When bioimpedance sensors are placed on the human body aligned with the underlying arteries - such as radial, ulnar, and digital - the impedance measurements show variations based on the changes in the artery dimensions due to the presence of blood pressure pulse waves. These variations can be leveraged to extract complex cardiovascular information, such as blood pressure. However, the level of impedance variations due to volumetric changes in the arteries is minimal (in the order of tens of mOhms) compared to the overall tissue impedances (in the order of hundreds of Ohms) requiring careful bioimpedance circuit and system design. In this paper, we provide comprehensive analyses of the bioimpedance sensor design requirements for arterial blood flow monitoring through numerical calculations, spice simulations, and experimental measurements. We provide analyses on signal-to-noise ratio (SNR) and effective number of bits (ENOB) requirements, indicating an 86dB SNR and 14-bit ENOB for high-resolution sensing. We believe this paper will further motivate the adoption of the promising wearable bioimpedance technology for applications of precision medicine. © 2023 ieee.

关键词： biomedical system design blood flow cuffless blood pressure monitoring effective number of bits wearable bioimpedance sensing

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A Multi-Channel, Low-Voltage, High-Frequency Programmable Electrical Stimulator for Sensory Feedback

A Multi-Channel, Low-Voltage, High-Frequency Programmable El...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Slepyan, Ariel Krishnan, Siddharth Li, Tianao Thakor, Nitish Johns Hopkins University Electrical and Computer Engineering Baltimore United States Johns Hopkins University Biomedical Engineering Baltimore United States

ISBN: (纸本)9798350300260

Tactile sensory feedback using targeted transcutaneous electrical nerve stimulation (TENS) can enhance prosthesis embodiment, improve object manipulation, and alleviate phantom limb pain in amputees. However, conventional TENS devices used for sensory feedback rely on high voltage stimulation to overcome the large impedance of skin and require large, low-impedance electrodes. This hinders the development of a high-density electrical stimulator with many channels. In this work, we capitalize on the decreasing impedance of skin at high frequencies to develop a compact low voltage electrical stimulator that stimulates with a 10kHz biphasic square wave. The developed stimulator is integrated onto a 3x3 inch PCB, can multiplex programmable bipolar waveforms to any 2 electrodes in a 16 electrode array, has current monitoring with constant current control up to 3mA, and consumes at most 1.18W during normal operation. In this paper, we present a characterization of the stimulator, validate its behavior with an electrical model of the skin, and showcase notable abilities like arbitrary wave generation. Future work can integrate the presented device to create a wearable, high-density sensory feedback system. © 2023 ieee.

关键词： electrical stimulator prosthesis sensory feedback transcutaneous electrical nerve stimulation

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Automatic Derivation of Nocturnal Desaturation Burden from Oxyhemoglobin Saturation Signal

Automatic Derivation of Nocturnal Desaturation Burden from O...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Assadi, Atousa Chung, Frances Hafezi, Maziar Yadollahi, Azadeh University of Toronto Institute of Biomedical Engineering Toronto Canada University Health Network KITE-Toronto Rehabilitation Institute Toronto Canada University of Toronto Temerty Center for Ai Research and Education in Medicine Toronto Canada University Health Network University of Toronto Toronto Western Hospital Department of Anesthesia and Pain Medicine Toronto Canada

ISBN: (纸本)9798350300260

Sleep apnea is a common respiratory disorder which causes frequent reduction in oxygen level (hypoxemia) during sleep. Sleep apnea is highly undiagnosed due to the challenges associated with overnight polysomnography. Moreover, the measure of sleep apnea severity, called apnea-hypopnea index, is a poor measure in capturing the differences in sleep apnea related outcomes among different individuals. This is particularly important for surgical patients as sleep apnea is highly associated with postoperative respiratory depression and hypoxemia, especially during sleep. Recently, novel measures such as hypoxic burden were introduced to better quantify the burden of sleep apnea. However, calculation of hypoxic burden relies on manual annotations of respiratory events using polysomnography recordings. In this research, we present a technique which automatically detects desaturation episodes from oxyhemoglobin saturation signal and accordingly computes the burden of each desaturation episode as the area under its curve. Subsequently, we extracted features to characterize overnight desaturation burdens and investigated the association of the extracted features with sleep apnea assessment measures (apnea-hypopnea index, respiratory-related and total arousal index) and postoperative overnight respiratory depression and hypoxemia. © 2023 ieee.

关键词： Apnea-Hypopnea Index Desaturation Burden Respiratory Depression Sleep Apnea

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Wearable Graphene Tattoo Impedance Tomography for Skin Lesion Differentiation

Wearable Graphene Tattoo Impedance Tomography for Skin Lesio...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Lee, Hannah Denton, Spencer Kireev, Dmitry Akinwande, Deji Johnson, Zane Porter, Emily University of Texas at Austin Electrical and Computer Engineering AustinTX United States University of Texas at Austin Chemical Engineering AustinTX United States McGill University Biomedical Engineering Montreal Canada

ISBN: (纸本)9798350300260

Skin cancer, the most common types of which are melanoma, basal cell carcinoma, and squamous cell carcinoma, contributes to a large share of diagnosed cancers worldwide. While it is treatable and survival rates are high, this is only the case when early detection and cancer-type differentiation occur. In this work, we propose a novel technology with a proof-of-concept of early diagnosis of skin cancer, differentiating between the cancer types at the very early stages. The technology has two vital backbones: imperceptible yet self-adhesive-to-skin graphene electronic tattoos (GETs) and 4-point bioimpedance electrical impedance tomography (EIT-Bio-Z). The GETs have proven to form superior functional electronic interfaces with human skin while also being biocompatible, lightweight, and transparent to light and sweating. Here, we employ specially constructed skin phantoms for non-invasive bioimpedance imaging via the GETs to clearly differentiate the effect of tiny lesions that model skin cancer. The technology is first demonstrated on artificial skin phantoms and porcine skin showing that impedance differentiation is most successful using graphene tattoos combined with EIT-Bio-Z at the frequency range of 1 kHz to 10 kHz. © 2023 ieee.

关键词： bioimpedance cancer dermatology graphene wearables

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