Towards High-Resolution Ultrasound Neuromodulation With Crossed-Beam Phased Arrays
This article presents the theoretical foundation and optimization (through a wave-propagation simulator) of crossed-beam formation using two US phased arrays. It also experimentally validates crossed-beam formation with two custom-made 32-element phased arrays (operating at 555.5 kHz) positioned relatively at different angles. In measurements, the sub-MHz crossed-beam phased arrays achieved 0.8/3.4 mm lateral/axial resolution at a focal distance of ∼ 46 mm, compared to the lateral/axial resolution of 3.4/26.8 mm of the individual phased array at 50 mm focal distance (∼ 28.4-fold im...
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

Toward a Smart Sensing System to Monitor Small Animal's Physical State via Multi-Frequency Resonator Array
This article presents a highly scalable and rack-mountable wireless sensing system for long-term monitoring (i.e., sense and estimate) of small animal/s' physical state (SAPS), such as changes in location and posture within standard cages. The conventional tracking systems may lack one or more features such as scalability, cost efficiency, rack-mount ability, and light condition insensitivity to work 24/7 on a large scale. The proposed sensing mechanism relies on relative changes of multiple resonance frequencies due to the animal's presence over the sensor unit. The sensor unit can track SAPS changes ...
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

A 510 $mu$W 0.738-mm$^{2}$ 6.2-pJ/SOP Online Learning Multi-Topology SNN Processor With Unified Computation Engine in 40-nm CMOS
Implementing neural networks (NN) on edge devices enables AI to be applied in many daily scenarios. The stringent area and power budget on edge devices impose challenges on conventional NNs with massive energy-consuming Multiply Accumulation (MAC) operations and offer an opportunity for Spiking Neural Networks (SNN), which can be implemented within sub-mW power budget. However, mainstream SNN topologies varies from Spiking Feedforward Neural Network (SFNN), Spiking Recurrent Neural Network (SRNN), to Spiking Convolutional Neural Network (SCNN), and it is challenging for the edge SNN processor to adapt to different topologi...
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

Changes Over Time in the Electrode/Brain Interface Impedance: An Ex-Vivo Study
Closed-loop neural implants based on continuous brain activity recording and intracortical microstimulation are extremely effective and promising devices to monitor and address many neurodegenerative diseases. The efficiency of these devices depends on the robustness of the designed circuits which rely on precise electrical equivalent models of the electrode/brain interface. This is true in the case of amplifiers for differential recording, voltage or current drivers for neurostimulation, and potentiostats for electrochemical bio-sensing. This is of paramount importance, especially for the next generation of wireless and u...
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

A Versatile In-Ear Biosensing System and Body-Area Network for Unobtrusive Continuous Health Monitoring
To enable continuous, mobile health monitoring, body-worn sensors need to offer comparable performance to clinical devices in a lightweight, unobtrusive package. This work presents a complete versatile wireless electrophysiology data acquisition system (weDAQ) that is demonstrated for in-ear electroencephalography (EEG) and other on-body electrophysiology with user-generic dry-contact electrodes made from standard printed circuit boards (PCBs). Each weDAQ device provides 16 recording channels, driven right leg (DRL), a 3-axis accelerometer, local data storage, and adaptable data transmission modes. The weDAQ wireless inter...
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

Biosignals Secure Communication Scheme With Filtering of Active Control Projection Synchronization of Biological Chaotic Circuits With Different Orders Based on DNA Strand Displacement
The emergence of DNA strand displacement (DSD) biocomputing has facilitated the development of chaotic synchronous and secure communication. The biosignals secure communication based on DSD has been implemented through coupled synchronization in previous works. In this article, the active controller based on DSD is constructed to achieve projection synchronization of biological chaotic circuits with different orders. The filter based on DSD is designed to filter noise signals in biosignals secure communication system. Firstly, the four-order drive circuit and the three-order response circuit are designed based on DSD. Seco...
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

A Micropower Chopper CBIA Using DSL-Embedded Input Stage With 0.4 V EO Tolerance for Dry-Electrode Biopotential Recording
We present a current-balance IA (CBIA) without the need for the input stage linearization. It uses two transistors to operate as an input transconductance stage and a dc-servo loop (DSL) at the same time. An off-chip capacitor completes the DSL by ac coupling the source terminals of the input transistors via chopping switches realizing a sub-Hz high-pass cutoff frequency for dc rejection. Fabricated in a 0.35-μm CMOS process, the proposed CBIA occupies 0.41 mm2 and consumes 1.19 μW from a 3 V dc supply. Measurements show that the IA achieves an input-referred noise of 0.91 μVrms over 100 Hz bandwidth. ...
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

High-Level Synthesis Design of Scalable Ultrafast Ultrasound Beamformer With Single FPGA
Ultrafast ultrasound imaging is essential for advanced ultrasound imaging techniques such as ultrasound localization microscopy (ULM) and functional ultrasound (fUS). Current ultrafast ultrasound imaging is challenged by the ultrahigh data bandwidth associated with the radio frequency (RF) signal, and by the latency of the computationally expensive beamforming process. As such, continuous ultrafast data acquisition and beamforming remain elusive with existing software beamformers based on CPUs or GPUs. To address these challenges, the proposed work introduces a novel method of implementing an ultrafast ultrasound beamforme...
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

Multidirectional Associative Memory Neural Network Circuit Based on Memristor
Multidirectional associative memory neural network(MAMNN) is a direct extension of bidirectional associative memory neural network, which can handle multiple associations. In this work, a circuit of MAMNN based on memristor is proposed, which simulates the complex associative memory behavior more in line with the brain mechanism. Firstly, the basic associative memory circuit is designed, which is mainly composed of memristive weight matrix circuit, adder module and activation circuit. It realizes the associative memory function of single-layer neurons input and single-layer neurons output, so that the information can be tr...
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

Bio-Hash Secured Hardware e-Health Record System
Dual securing strategy for all-hardware e-Health Record System is designed and developed for improved security and reduced Hardware Execution Time (HET). A compact novel Hashed Minutiae Random Fusion (HMRF) logic enables to achieve high irreversibility and increased non-reconstruction capability of the bio-template based Bio-Hash key. AES encryption of the patient's health data during Write mode and decryption during View mode are seamlessly performed through the lively generated key, yielding low HET through optimized slack. On the other hand, biometric controlled key retrieval during Read only mode for a single us...
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

Kinetic Perimetry on Virtual Reality Headset
Conclusions: we demonstrate the feasibility of VR kinetic perimetry by comparing performances between our system and a clinically used perimeter in healthy subjects. Significance: proposed device leads the way for a portable and more accessible visual field test, overcoming challenges in current kinetic perimetry practices. (Source: IEEE Transactions on Biomedical Circuits and Systems)
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

Removal of Motion Artifacts in Capacitive Electrocardiogram Acquisition: A Review
Capacitive electrocardiogram (cECG) systems are increasingly used for the monitoring of cardiac activity. They can operate within the presence of a small layer of air, hair or cloth and do not require a qualified technician. They can be integrated into wearables, clothing or objects of daily life, such as beds or chairs. While they offer many advantages over conventional electrocardiogram systems (ECG) that rely on wet electrodes, they are more prone to be affected by motion artifacts (MAs). These effects, which are due to the relative movement of the electrode in relation to the skin, are several orders of magnitude highe...
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Biomedical Circuits and Systems Publication Information
(Source: IEEE Transactions on Biomedical Circuits and Systems)
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

Table of Contents
(Source: IEEE Transactions on Biomedical Circuits and Systems)
Source: IEEE Transactions on Biomedical Circuits and Systems - June 1, 2023 Category: Biomedical Engineering Source Type: research

Flexible Gel-Free Multi-Modal Wireless Sensors With Edge Deep Learning for Detecting and Alerting Freezing of Gait Symptom
Freezing of gait (FoG) is a debilitating symptom of Parkinson's disease (PD). This work develops flexible wearable sensors that can detect FoG and alert patients and companions to help prevent falls. FoG is detected on the sensors using a deep learning (DL) model with multi-modal sensory inputs collected from distributed wireless sensors. Two types of wireless sensors are developed, including: 1) a C-shape central node placed around the patient's ears, which collects electroencephalogram (EEG), detects FoG using an on-device DL model, and generates auditory alerts when FoG is detected; 2) a stretchable patch-type sensor at...
Source: IEEE Transactions on Biomedical Circuits and Systems - May 31, 2023 Category: Biomedical Engineering Source Type: research