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Stress classification with in-ear heartbeat sounds
Danielle Benesch
, Bérangère Villatte
, Alain Vinet
, Sylvie Hébert
,
Jérémie Voix
,
Rachel E. Bouserhal
École de technologie supérieure
Mechanical Engineering Department
Electrical Engineering Department
LATIS - Biomedical Information processing Laboratory
École de technologie supérieure
McGill University
University of Montreal
Research Center - Hôpital du Sacré-Coeur de Montréal
Research output
:
Contribution to journal
›
Journal Article
›
peer-review
3
Citations (Scopus)
Overview
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Keyphrases
Biosignal Monitoring
16%
Classification Algorithms
16%
Clinical Grade
16%
Data Augmentation
33%
Decreased Sound Tolerance
16%
Electrocardiogram Signal
33%
Feature Extracting
16%
Further Analysis
16%
Healthy Adults
16%
Hearing Devices
33%
Heart Rate Variability
33%
Heart Sound Signal
16%
Heartbeat Sounds
100%
In-ear
100%
Machine Learning
16%
Meaningful Change
16%
Performance Prediction
16%
Rest Condition
16%
Stress Classification
100%
Stress Conditions
16%
Stress Level
16%
Stress Monitoring
16%
Stress Prediction
16%
Stress Protocol
16%
Stress Recognition
16%
Stress Task
16%
Tinnitus
16%
Train Classification
16%
Wearer
16%
Engineering
Biosignal
33%
Classification Algorithm
33%
Data Augmentation
66%
Electrocardiography
100%
Extracted Feature
33%
Fits and Tolerances
33%
Heart Rate Variability
66%
Learning System
33%
Prediction Performance
33%
Stress Condition
33%
Stress Level
33%
Neuroscience
Data Augmentation
66%
Electrocardiography
100%
Heart Rate Variability
66%
Sensation of Hearing
66%
Tinnitus
33%
Medicine and Dentistry
Electrocardiography
100%
Heart Rate Variability
66%
Tinnitus
33%
Psychology
Sensation of Hearing
100%
Tinnitus
50%