Results 61 to 70 of about 546,428 (324)

Fatigue Detection with Spatial-Temporal Fusion Method on Covariance Manifolds of Electroencephalography

Entropy, 2021
With the increasing pressure of current life, fatigue caused by high-pressure work has deeply affected people and even threatened their lives. In particular, fatigue driving has become a leading cause of traffic accidents and deaths.
Nan Zhao, Dawei Lu, Kechen Hou, Meifei Chen, Xiangyu Wei, Xiaowei Zhang, Bin Hu   +6 more
doaj   +1 more source

Editorial: new advanced wireless technologies for objective monitoring of motor symptoms in Parkinson's disease [PDF]

, 2018
Nowadays, a growing number of researchers is using advanced wearable technologies with inertial measurement units (IMUs) to improve the evaluation of motor symptoms in patients with Parkinson’s Disease (PD).
Cabestany, Joan, Irrera, Fernanda, Suppa, Antonio   +2 more
core   +1 more source

Wearable Wireless Devices [PDF]

Applied Sciences, 2019
With the growing interest in the use of technology in daily life, the potential of using wearable wireless devices across multiple segments, e [...]
Abbasi, Qammer H., Alomainy, Akram, Heidari, Hadi   +2 more
openaire   +3 more sources

Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer, Frauke Stascheit, Maximilian Mönch, Paolo Doksani, Carla Dusemund, Meret Herdick, Philipp Mergenthaler, Maike Stein, Amani Suboh, Jutta Schröder‐Braunstein, Guido Wabnitz, Jan D. Lünemann, Sophie Lehnerer, Sarah Hoffmann, Andreas Meisel   +14 more
wiley   +1 more source

Fibre-based organic electrochemical transistors: principle, evaluation, and application

npj Flexible Electronics
Organic electrochemical transistors (OECTs) are emerging organic semiconducting devices intensively used in biological detection, environmental monitoring, biomimetic electronics, and computing circuits, due to the high transconductance, low working ...
Yingying Huang, Zhijun Hu, Shouwen Zhu, Bo Fang   +3 more
doaj   +1 more source

Age-Associated Differences of Modules and Hubs in Brain Functional Networks

Frontiers in Aging Neuroscience, 2021
Healthy aging is usually accompanied by changes in the functional modular organization of the human brain, which may result in the decline of cognition and underlying brain dysfunction.
Yinghui Zhang, Yinghui Zhang, Yin Wang, Nan Chen, Man Guo, Xiuzhen Wang, Guangcai Chen, Yongchao Li, Lin Yang, Shan Li, Zhijun Yao, Bin Hu, Bin Hu, Bin Hu, Bin Hu   +14 more
doaj   +1 more source

Unbearable wearables [PDF]

, 2019
As wearable devices play an increasing role in the management of health and disease, adverse skin reactions to wearables have become more common. However, the management of allergic contact dermatitis is challenging and new treatment options more ...
Hayward, Elizabeth May, Leung, Thomas H, Rosenbach, Misha, Wei, Jenny J   +3 more
core  

Investigating User Needs for Bio-sensing and Affective Wearables [PDF]

, 2016
Bio-sensing wearables are currently advancing to provide users with a lot of information about their physiological and affective states. However, relatively little is known about users' interest in acquiring, sharing and receiving this information and ...
Alt, Florian, Hassib, Mariam, Khamis, Mohamed, Schneegass, Stefan, Shirazi, Alireza Sahami   +4 more
core   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Multivariate Pattern Analysis of EEG-Based Functional Connectivity: A Study on the Identification of Depression

IEEE Access, 2019
Resting-state electroencephalography (EEG) studies have shown significant group differences in functional connectivity networks between patients with depression and healthy controls.
Hong Peng, Chen Xia, Zihan Wang, Jing Zhu, Xin Zhang, Shuting Sun, Jianxiu Li, Xiaoning Huo, Xiaowei Li   +8 more
doaj   +1 more source