Smartphone-based recognition of states and state changes in bipolar disorder patients

IEEE Journal of Biomedical and Health Informatics

Volumn 19, Issue 1, 2015, Pages 140-148

  Grünerbl, Agnes ^a   Muaremi, Amir ^b   Osmani, Venet ^c   Bahle, Gernot ^a   Öhler, Stefan ^d   Tröster, Gerhard ^b   Mayora, Oscar ^c   Haring, Christian ^d   Lukowicz, Paul ^a  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

^b ETH ZURICH   (Switzerland)

^c CREATE NET   (Italy)

^d Hall State Hospital   (Austria)

Author keywords

Activity recognition; bipolar disorder; depression recognition; mental disease monitoring; mood recognition; smartphones; wearable computing

Indexed keywords

BLOOD PRESSURE; DISEASES; MHEALTH; PATTERN RECOGNITION; PHYSIOLOGICAL MODELS; SMARTPHONES; WEARABLE SENSORS;

ACTIVITY RECOGNITION; BIPOLAR DISORDER; DEPRESSION RECOGNITION; MENTAL DISEASE; MOOD RECOGNITION; WEARABLE COMPUTING;

PATIENT TREATMENT;

ACTIMETRY; ALGORITHM; AMBULATORY MONITORING; BIPOLAR DISORDER; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; DEVICES; HUMAN; MOBILE APPLICATION; MOBILE PHONE; PROCEDURES; PSYCHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TELEMEDICINE;

ACTIGRAPHY; ALGORITHMS; BIPOLAR DISORDER; CELL PHONES; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; MOBILE APPLICATIONS; MONITORING, AMBULATORY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TELEMEDICINE; USER-COMPUTER INTERFACE;

EID: 84920997708     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2014.2343154     Document Type: Article

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