Comparison of sleep-wake classification using electroencephalogram and wrist-worn multi-modal sensor data

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Volumn , Issue , 2014, Pages 930-933

  Sano, Akane ^a   Picard, Rosalind W ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROENCEPHALOGRAPHY; MODAL ANALYSIS; SLEEP RESEARCH; STUDENTS; WAKES;

CLASSIFICATION RESULTS; COLLEGE STUDENTS; ELECTRO-ENCEPHALOGRAM (EEG); MULTI-MODAL DATA; MULTIMODAL SENSOR; PHYSIOLOGICAL DATA; SKIN CONDUCTANCE; SKIN TEMPERATURES;

WEARABLE SENSORS;

ACCELEROMETRY; COMPARATIVE STUDY; DEVICES; ELECTRODERMAL RESPONSE; ELECTROENCEPHALOGRAPHY; HUMAN; PHYSIOLOGY; POLYSOMNOGRAPHY; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; SKIN TEMPERATURE; SLEEP; WAKEFULNESS; WRIST; YOUNG ADULT;

ACCELEROMETRY; ELECTROENCEPHALOGRAPHY; GALVANIC SKIN RESPONSE; HUMANS; POLYSOMNOGRAPHY; ROC CURVE; SKIN TEMPERATURE; SLEEP; WAKEFULNESS; WRIST; YOUNG ADULT;

EID: 84929485610     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2014.6943744     Document Type: Conference Paper

References (11)

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