SnapShot: Physiology of Insulin Signaling
Kadowaki, Takashi +3 more
openaire +2 more sources
Multiple System Modelling and Analysis of Physiological and Brain Activity and Performance at Rest and During Exercise [PDF]
One of the current interests of exercise physiologists is to understand the nature and control of fatigue related to physical activity to optimise athletic performance.
Chuckravanen, Dineshen
core
Integrated structure for detecting physiological signals
An integrated structure (1) for acquiring physiological signals comprises a fabric (2) composed of conducting fibers and non-conducting fibers, a plurality of electrodes (5) provided by means of the conducting fibers, a plurality of conducting elements ...
ANDREONI, GIUSEPPE +4 more
core
Emotion recognition based on feature weight analysis of multiple physiological signals. [PDF]
Li Q, Liu Y, Yan F.
europepmc +1 more source
Dataset of physiological signals in the use of advanced driver assistance systems (ADAS). [PDF]
de Castro GM +3 more
europepmc +1 more source
On the relationships between music-induced emotion and physiological signals
Emotion-aware music information retrieval (MIR) has been difficult due to the subjectivity and temporality of emotion responses to music. Physiological signals are regarded as related to emotion and thus could potentially be exploited in emotion-aware ...
Li, Fanjie, Ng, Jeremy T.D., Hu, Xiao
core +1 more source
Performance of artificial intelligence models for monitoring psychological stress using noncontact physiological signals: a systematic review and meta-analysis. [PDF]
Han X, Wang Q, Gao L, Cao H.
europepmc +1 more source
A large scale dataset of emotion annotated physiological signals collected from a public exhibit. [PDF]
Girgis J, Lavoie R, Blain-Moraes S.
europepmc +1 more source
From classic to cutting-edge: technological approaches to respiratory physiological signals in assessing sleep-disordered breathing. [PDF]
Chiang AA +4 more
europepmc +1 more source
Supervised information gain-based feature selection for multimodal physiological signals in stress prediction. [PDF]
Chouhan SA.
europepmc +1 more source

