EmoWear: Wearable Physiological and Motion Dataset for Emotion Recognition and Context Awareness
The EmoWear dataset provides a bridge to explore Emotion Recognition (ER) via Seismocardiography (SCG), the measurement of small cardio-respiratory induced vibrations on the chest wall through Inertial Measurement Units (IMUs). We recorded Accelerometer (
Mohammad Hasan Rahmani +4 more
doaj +1 more source
Severe aortic stenosis detection using seismocardiography. [PDF]
Pykäri J +6 more
europepmc +1 more source
Non-exercise estimation of peak oxygen uptake in patients with ischaemic heart disease and heart failure using seismocardiography. [PDF]
Hansen MT +8 more
europepmc +1 more source
Quantifying changes in triaxial seismocardiography variability due to sub-optimal volume status. [PDF]
Cestero GI +7 more
europepmc +1 more source
Wearable SENsor to Diagnose and Assess SEverity of Aortic Stenosis (SENSE-AS): A Proof-of-Concept Study. [PDF]
Srinivasan A +12 more
europepmc +1 more source
Monitoring of respiration and cardiorespiratory interactions from multichannel seismocardiography signals. [PDF]
Centracchio J +5 more
europepmc +1 more source
Deep Learning Predicts Cardiac Output from Seismocardiographic Signals in Heart Failure. [PDF]
Wang J, Nouraie SM, Kelly NJ, Chan SY.
europepmc +1 more source
Monitoring Cardiac Function Using Seismocardiography Post-Transcatheter Aortic Valve Implantation. [PDF]
Singh J +6 more
europepmc +1 more source
Multi-site cardiac rhythm monitoring via multi-channel SCG system and exercise-induced physiological analysis. [PDF]
Hu M, Yi H, Yan W, Ren W, Wang J, Qi F.
europepmc +1 more source
Evidence of effective cardiovascular countermeasures during spaceflights: insights from wearable monitoring. [PDF]
Balali P +10 more
europepmc +1 more source

