Progress in data acquisition of wearable sensors
Wearable sensors have demonstrated wide applications from medical treatment, health
monitoring to real-time tracking, human-machine interface, smart home, and motion capture …
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
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 …
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
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 …
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
Epileptic patients with drug resistant epilepsy can undergo invasive
stereoelectroencephalography (SEEG) examination in order to identify the epileptic zone to …
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 …
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 …
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 …
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
This paper presents a low-power frequency-domain functional near-infrared spectroscopy
(FD-fNIRS) readout circuit for the absolute value measurement of tissue optical …
(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 …
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 …
circuit for absolute value measurement of tissue optical characteristics. A mixer-first analog …