Monitoring for disease progression via mathematical time-series modeling: Actigraphy-based monitoring patients with depressive disorder

2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013

Volumn , Issue , 2013, Pages 56-61

  Kim, Ha Young ^a   Kam, Hye Jin ^a   Lee, Jihyun ^a   Yoo, Sanghyun ^a   Woo, Kyoung Gu ^a   Noh, Jai Sung ^b   Yoo, Seungmin ^b  

^a Samsung Advanced Institute of Technology (SAIT)   (South Korea)

^b Ajou University School of Medicine   (South Korea)

Author keywords

actigraphy; AR GARCH; depression; disease monitoring; structural break; time series modeling

Indexed keywords

ACTIGRAPHY; AR-GARCH; DEPRESSION; DISEASE MONITORING; STRUCTURAL BREAK; TIME SERIES MODELING;

PATIENT TREATMENT; SENSORS;

PATIENT MONITORING;

EID: 84875969419     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCNC.2013.6488425     Document Type: Conference Paper

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