Results 61 to 70 of about 6,479 (196)

Intrinsic PPG–ECG Coupling for Accurate and Low‐Power Blood Pressure Monitoring

Advanced Science, EarlyView.
A PPG–ECG coupling strategy for continuous blood pressure monitoring that intrinsically synchronizes signals within a single waveform is demonstrated, minimizing synchronization errors and hardware complexity. This approach halves power consumption while maintaining high accuracy, enabling compact, energy‐efficient wearable devices for personalized ...
Sitong Chen, Hua Luo, Zhentao Yao, Zhou Jiang, Xiaodong Wu, Hanmin Liu   +5 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Heart rate monitoring in ultra-high-field MRI using frequency information obtained from video signals of the human skin compared to electrocardiography and pulse oximetry

Current Directions in Biomedical Engineering, 2015
Videos of the human skin contain subtle color variations associated with the blood volume pulse. This remote photoplethysmography signal can be used for heart rate monitoring and represents an alternative to signals obtained from contact-based hardware ...
Spicher Nicolai, Maderwald Stefan, Ladd Mark E., Kukuk Markus   +3 more
doaj   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Sensor-AssistedWeighted Average Ensemble Model for Detecting Major Depressive Disorder [PDF]

, 2019
The present methods of diagnosing depression are entirely dependent on self-report ratings or clinical interviews. Those traditional methods are subjective, where the individual may or may not be answering genuinely to questions.
Chang, Chuan-Yu, Gao, Liang, Garg, Akhil, Gutiérrez Reina, Daniel, Mahendran, Nivedhitha, Srinivasan, Kathiravan, Vincent, Durai Raj   +6 more
core   +1 more source

Efficient Spatiotemporal Attention Network for Remote Heart Rate Variability Analysis

Sensors, 2022
Studies have shown that ordinary color cameras can detect the subtle color changes of the skin caused by the heartbeat cycle. Therefore, cameras can be used to remotely monitor the pulse in a non-contact manner.
Hailan Kuang, Fanbing Lv, Xiaolin Ma, Xinhua Liu   +3 more
doaj   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

Estimating Carotid Pulse and Breathing Rate from Near-infrared Video of the Neck

, 2018
Objective: Non-contact physiological measurement is a growing research area that allows capturing vital signs such as heart rate (HR) and breathing rate (BR) comfortably and unobtrusively with remote devices.
Chen, Weixuan, Hernandez, Javier, Picard, Rosalind W.   +2 more
core   +1 more source

A dataset of continuous affect annotations and physiological signals for emotion analysis [PDF]

, 2018
From a computational viewpoint, emotions continue to be intriguingly hard to understand. In research, direct, real-time inspection in realistic settings is not possible. Discrete, indirect, post-hoc recordings are therefore the norm.
Albu-Schaeffer, Alin, Broek, Egon L. van den, Castellini, Claudio, Schwenker, Friedhelm, Sharma, Karan   +4 more
core   +2 more sources

Advances in Electrocardiogram‐Based Non‐Invasive Blood Glucose Monitoring Technology

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Blood glucose monitoring is fundamental to diabetes management, yet traditional invasive methods are limited by patient discomfort and infection risks. In recent years, electrocardiogram (ECG), a conventional tool for cardiovascular assessment, has gained attention as a prospective method for non‐invasive blood glucose monitoring.
Qi Zeng, Jiaying Ni, Ziyi Zhang, Jinghao Cai, Jingyi Lu, Jian Zhou   +5 more
wiley   +1 more source