Combining Continuous Smartphone Native Sensors Data Capture and Unsupervised Data Mining Techniques for Behavioral Changes Detection: A Case Series of the Evidence-Based Behavior (eB2) Study

• Main Authors: Berrouiguet, Sofian (Author), Ramírez, David (Author), Barrigón, María Luisa (Author), Moreno-Muñoz, Pablo (Author), Carmona Camacho, Rodrigo (Author), Baca-García, Enrique (Author), Artés-Rodríguez, Antonio (Author)
• Format: Book
• Published: JMIR Publications, 2018-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundThe emergence of smartphones, wearable sensor technologies, and smart homes allows the nonintrusive collection of activity data. Thus, health-related events, such as activities of daily living (ADLs; eg, mobility patterns, feeding, sleeping, ...) can be captured without patients' acti...