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IEEE Circuits and Systems Society Information
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication. (Source: IEEE Transactions on Biomedical Circuits and Systems)
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

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Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers. (Source: IEEE Transactions on Biomedical Circuits and Systems)
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

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Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

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Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers. (Source: IEEE Transactions on Biomedical Circuits and Systems)
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

Seamless Capacitive Body Channel Wireless Power Transmission Toward Freely Moving Multiple Animals in an Animal Cage
Unstable wireless power transmission toward multiple living animals in an animal cage is one of the significant barriers to performing long-term and real-time neural monitoring in preclinical research. Here, seamless capacitive body channel (SCB) wireless power transmission (WPT) along with power management integrated circuit (PMIC) is designed using a standard 65 nm CMOS process. The SCB WPT enables stable wireless power transmission toward multiple 35 mm×20 mm×2 mm sized receivers (RXs) attached to freely moving animals in a 600 mm×600 mm×120 mm sized animal cage. By utilizing fringe-field cap...
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

A 746 nW ECG Processor ASIC Based on Ternary Neural Network
This paper presents an ultra-low power electrocardiography (ECG) processor application-specific integrated circuit (ASIC) for the real-time detection of abnormal cardiac rhythms (ACRs). The proposed ECG processor can support wearable or implantable ECG devices for long-term health monitoring. It adopts a derivative-based patient adaptive threshold approach to detect the R peaks in the PQRST complex of ECG signals. Two tiny machine learning classifiers are used for the accurate classification of ACRs. A 3-layer feed-forward ternary neural network (TNN) is designed, which classifies the QRS complex's shape, followed b...
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

A 26.5 pArms Neurotransmitter Front-End With Class-AB Background Subtraction
This paper presents an analog front-end (AFE) for fast-scan cyclic voltammetry (FSCV) with analog background subtraction using a pseudo-differential sensing scheme to cancel the large non-faradaic current before seeing the front-end. As a result, the AFE can be compact and low-power compared to conventional FSCV AFEs with dedicated digital back-ends to digitize and subtract the background from subsequent recordings. The reported AFE, fabricated in a 0.18-$boldsymbol{mu} $m CMOS process, consists of a class-AB common-mode rejection circuit, a low-input-impedance current conveyor, and a 1st-order current-mode delta-sigma (&#...
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

A PVT-Robust AFE-Embedded Error-Feedback Noise-Shaping SAR ADC With Chopper-Based Passive High-Pass IIR Filtering for Direct Neural Recording
This paper presents a PVT-robust error-feedback (EF) noise-shaping SAR (NS-SAR) ADC for direct neural-signal recording. For closed-loop bidirectional neural interfaces enabling the next generation neurological devices, a wide-dynamic-range neural recording circuit is required to accommodate stimulation artifacts. A recording structure using an NS-SAR ADC can be a good candidate because the high resolution and wide dynamic range can be obtained with a low oversampling ratio and power consumption. However, NS-SAR ADCs require an additional gain stage to obtain a well-shaped noise transfer function (NTF), and a dynamic amplif...
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

Non-Contact Supervision of COVID-19 Breathing Behaviour With FMCW Radar and Stacked Ensemble Learning Model in Real-Time
This study uses Frequency-Modulated Continuous Wave (FMCW) radar and Machine Learning (ML) to obtain respiratory information and analyze respiratory signals, respectively. Multiple subjects in a room can be detected simultaneously by calculating the Angle of Arrival (AoA) of the received signal and utilizing the Multiple Input Multiple Output (MIMO) of FMCW radar. Fast Fourier Transform (FFT) and some signal processing are implemented to obtain a breathing waveform. ML helps the system to analyze the respiratory signals automatically. This paper also compares the performance of several ML algorithms such as Multinomial Log...
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

A Load-Insensitive Hybrid LSK Back Telemetry System With Slope-Based Demodulation for Inductively Powered Biomedical Devices
This paper presents a hybrid load-shift keying (LSK) modulation for a load-insensitive back telemetry system to realize near-constant voltage changes in a primary coil (L1) against a wide range of load variations. The hybrid-LSK-enabled full-wave rectifier enables the sequential combination of open- and short-coil functions for hybrid-LSK modulation in addition to wireless power conversion operation. Load-insensitive L1 voltage changes can be demodulated using the proposed slope- based demodulator, which utilizes the threshold slope of L1 voltage changes over the back data pulse width, enabling robust data recovery regardl...
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity
Human brain cortex acts as a rich inspiration source for constructing efficient artificial cognitive systems. In this paper, we investigate to incorporate multiple brain-inspired computing paradigms for compact, fast and high-accuracy neuromorphic hardware implementation. We propose the TripleBrain hardware core that tightly combines three common brain-inspired factors: the spike-based processing and plasticity, the self-organizing map (SOM) mechanism and the reinforcement learning scheme, to improve object recognition accuracy and processing throughput, while keeping low resource costs. The proposed hardware core is fully...
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

Epileptic Seizure Detection With Patient-Specific Feature and Channel Selection for Low-power Applications
An accurate epileptic seizure detector using intracranial electroencephalography (iEEG) recordings, suitable for low-power wearable/implantable applications, is presented. Eleven time-domain features with low hardware complexity are employed in the feature pool of the seizure detector. A novel two-step feature ranking algorithm based on maximum discrimination minimum redundancy (MDMR) is proposed to identify the most discriminating features in a patient-specific manner during a training phase. Subsequently, the top-ranked features are extracted in a two-stage energy-efficient architecture in which the second stage is activ...
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly. However, despite significant performance improvements, their hardware implementation using conventional technologies, such as Complementary Metal–Oxide–Semiconductor (CMOS), in power and area-constrained settings remains a challenging task; especially when many recording channels are used. In this paper, we propose a novel low-latency parallel Convolutional Neural Network (CNN) architecture that has between 2-2,800x fewer network parameters compared to State-Of-The-Art (SOTA) CNN architectures and achieves...
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

Distributed Full Synchronized System for Global Health Monitoring Based on FLSA
In modern medicine, smart wireless connected devices are gaining an increasingly important role in aiding doctors’ job of monitoring patients. More and more complex systems, with a high density of sensors capable of monitoring many biological signals, are arising. Merging the data offers a great opportunity for increasing the reliability of diagnosis. However, a huge problem is constituted by synchronization. Multi-board wireless-connected monitoring systems are a typical example of distributed systems and synchronization has always been a challenging issue. In this paper, we present a distributed full synchronized ...
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research

Evolution of Biotelemetry in Medical Devices: From Radio Pills to mm-Scale Implants
The advent of semiconductor technology in the mid-20th century created unprecedented opportunities to develop a new generation of small-scale wireless medical sensing devices that can support remote monitoring of patients' vital signs. The first radio pills were developed as early as the 1950’s using only a few transistors. These swallowable capsules could sense and wirelessly transmit vital parameters from inside the human body. Since then we have witnessed the rapid progress of medical devices driven by the evolution of semiconductor technology, from single-transistor oscillators to complex mixed-signal mul...
Source: IEEE Transactions on Biomedical Circuits and Systems - August 1, 2022 Category: Biomedical Engineering Source Type: research