Results 101 to 110 of about 148,378 (289)
A Sleep Stage Classification Algorithm of Wearable System Based on Multiscale Residual Convolutional Neural Network [PDF]
Qinghua Zhong +3 more
openalex +1 more source
A self‐assembled monolayer of 3‐mercaptopropyltrimethoxysilane (MPTS) molecular receptor and titanium oxide‐modified carbon cloth (MPTS/TiO2/CC) was synthesized for the specific detection of sweat L‐cysteine, which is associated with the precision neutrition, cardiovascular system and neuro system.
Xiangjie Chen +11 more
wiley +1 more source
This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek +4 more
wiley +1 more source
SlumberNet: Deep learning classification of sleep stages using residual neural networks
Pawan Kumar Jha +2 more
openalex +1 more source
The Effect of Cuff Arthropathy Stage on Sleep Disturbance and Kinesiophobia in Reverse Shoulder Arthroplasty Patients [PDF]
Gökhan İlyas +3 more
openalex +1 more source
Crack‐Growing Interlayer Design for Deep Crack Propagation and Ultrahigh Sensitivity Strain Sensing
A crack‐growing semi‐cured polyimide interlayer enabling deep cracks for ultrahigh sensitivity in low‐strain regimes is presented. The sensor achieves a gauge factor of 100 000 at 2% strain and detects subtle deformations such as nasal breathing, highlighting potential for minimally obstructive biomedical and micromechanical sensing applications ...
Minho Kim +11 more
wiley +1 more source
Deep Learning Automatic Sleep Staging Method Based on Multidimensional Sleep Data
Polysomnography (PSG) is commonly used to diagnose sleep disorders. However, manual sleep staging is a time-consuming task due to high human effort and technical thresholds, and it involves certain subjective factors.
Jian Yang +5 more
doaj +1 more source
Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley +1 more source
This study investigates whether heart rate asymmetry (HRA) parameters offer insights into sleep stages beyond those provided by conventional heart rate variability (HRV) and complexity measures.
Bartosz Biczuk +5 more
doaj +1 more source
Sleep Stage, Sleep Duration, Attention Span [PDF]
openaire +1 more source

