Progress in data acquisition of wearable sensors

Z Liu, J Kong, M Qu, G Zhao, C Zhang - Biosensors, 2022 - mdpi.com
Wearable sensors have demonstrated wide applications from medical treatment, health
monitoring to real-time tracking, human-machine interface, smart home, and motion capture …

Mobile Near-infrared Sensing—A Systematic Review on Devices, Data, Modeling, and Applications

W Jiang, J Goncalves, V Kostakos - ACM Computing Surveys, 2024 - dl.acm.org
Mobile near-infrared sensing is becoming an increasingly important method in many
research and industrial areas. To help consolidate progress in this area, we use the PRISMA …

Emulation of brain metabolic activities based on a dynamically controllable optical phantom

Y Lin, C Chen, Z Ma, N Sabor, Y Wei… - Cyborg and Bionic …, 2023 - spj.science.org
This paper presents a dynamic optical phantom for the simulation of metabolic activities in
the brain, and a linear equivalent model is built for control voltage versus substance …

Electrode–brain interface fractional order modelling for brain tissue classification in SEEG

MMP Machado, A Voda, G Besançon, G Becq… - … Signal Processing and …, 2023 - Elsevier
Epileptic patients with drug resistant epilepsy can undergo invasive
stereoelectroencephalography (SEEG) examination in order to identify the epileptic zone to …

Thermal Runaway Detection Method for Smart Electric Bicycle Charger

J Ning, B Xiao, W Zhao - Engineering Reports, 2024 - Wiley Online Library
ABSTRACT A novel algorithm for thermal runaway detection embedded in the electric
bicycle charging system is proposed. The battery's internal temperature is a key indicator to …

A 153.4 dB-DR PPG Recording IC with Extended Counting and Hardware Reuse

T Wei, H Chen, J Lai, J Ni, X Zeng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Photoplethysmogram (PPG) is widely used in wearable devices for health monitoring. High-
precision signals are essential for medical diagnostics. However, motion artifacts in these …

A Wireless Integrated EEG-fNIRS System for Brain Function Monitoring

W Cui, K Lin, G Liu, Y Sun, J Cai - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have
emerged as continuous monitoring techniques for neural cluster electrical activity and local …

An Energy-Efficient FD-fNIRS Readout Circuit Employing a Mixer-First Analog Frontend and a Σ-Δ Phase-to-Digital Converter

Z Ma, C Chen, Y Lin, L Qi, Y Li, X Bi… - … Circuits and Systems, 2024 - ieeexplore.ieee.org
This paper presents a low-power frequency-domain functional near-infrared spectroscopy
(FD-fNIRS) readout circuit for the absolute value measurement of tissue optical …

Miniaturized Brain Imaging Apparatus Employing Light, Sound, and Magnetic Fields

S Na, J Zhang, B Fan - Biomedical Photoacoustics: Technology and …, 2024 - Springer
Brain imaging technologies have expanded our comprehension of cerebral function and
dysfunction, providing insights into brain structure, electrophysiology, blood flow, and …

A sub-0.01 phase resolution 6.8-mw fnirs readout circuit employing a mixer-first frequency-domain architecture

C Chen, Z Ma, Y Liu, Z Liu, L Zhou, Y Wu… - … 2022-IEEE 48th …, 2022 - ieeexplore.ieee.org
This paper presents a frequency-domain functional near-infrared spectroscopy readout
circuit for absolute value measurement of tissue optical characteristics. A mixer-first analog …