Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease

• Published in: Scientific data Vol. 8; no. 1; pp. 47 - 12
• Main Authors: Vergara-Diaz, Gloria, Daneault, Jean-Francois, Parisi, Federico, Admati, Chen, Alfonso, Christina, Bertoli, Matilde, Bonizzoni, Edoardo, Carvalho, Gabriela Ferreira, Costante, Gianluca, Fabara, Eric Eduardo, Fixler, Naama, Golabchi, Fatemah Noushin, Growdon, John, Sapienza, Stefano, Snyder, Phil, Shpigelman, Shahar, Sudarsky, Lewis, Daeschler, Margaret, Bataille, Lauren, Sieberts, Solveig K., Omberg, Larsson, Moore, Steven, Bonato, Paolo
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 05.02.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 692/617/375/1718; 692/617/375/346/1718; Accelerometers; Accelerometry - instrumentation; Activities of daily living; Coordination; Data Descriptor; Dyskinesia; Forearm; Humanities and Social Sciences; Humans; Laboratories; Leg; Mobile Applications; Monitoring, Ambulatory; Movement disorders; multidisciplinary; Neurodegenerative diseases; Parkinson Disease - diagnosis; Parkinson Disease - physiopathology; Parkinson's disease; Science; Science (multidisciplinary); Sensors; Sleep; Smartphone; Smartphones; Titration; Torso; Wearable Electronic Devices

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms. Dyskinesia and motor fluctuations are complications of PD medications. An objective measure of on/off time with/without dyskinesia has been sought for some time because it would facilitate the tit...