Show simple item record

Towards the Stress Analytics Framework: Managing, Mining, and Visualizing Multi-modal Data for Stress Awareness

contributor authorKurniawan, H. , Pechenizkiy, M.
date accessioned2020-03-12T20:39:30Z
date available2020-03-12T20:39:30Z
date issued2014
identifier other6881965.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1020925?show=full
formatgeneral
languageEnglish
publisherIEEE
titleTowards the Stress Analytics Framework: Managing, Mining, and Visualizing Multi-modal Data for Stress Awareness
typeConference Paper
contenttypeMetadata Only
identifier padid8145492
subject keywordsblood flow measurement
subject keywordselectromyography
subject keywordsfatigue
subject keywordsmedical signal detection
subject keywordsmedical signal processing
subject keywordsbipolar configuration
subject keywordsblood flow restriction
subject keywordscyclic dynamic contraction
subject keywordsisometric contraction
subject keywordsmonopolar configurations
subject keywordsmuscle fatigue evaluation
subject keywordssurface electromyogram-based detection
subject keywordsBlood
subject keywordsBlood flow
subject keywordsElectrodes
subject keywordsElectromyography
subject keywordsFatigue
subject keywordsMuscles
subject keywordsTraining
identifier doi10.1109/EMBC.2014.6944056
journal titleomputer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
filesize329181
citations0


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record