This paper is in the following e-collection/theme issue:
Digital Biomarkers and Digital Phenotyping (195) mHealth for Wellness, Behavior Change and Prevention (2893) mHealth for Data Collection and Research (956) Fitness Trackers and Smart Pedometers/Accelerometers (564) Wearable Devices and Sensors (893)Published on in Vol 10, No 10 (2022): October
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/40667, first published
.
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis
Authors of this article:
Yuezhou Zhang1 ; Amos A Folarin1, 2, 3, 4, 5 ; Shaoxiong Sun1 ; Nicholas Cummins1 ; Srinivasan Vairavan6 ; Linglong Qian1 ; Yatharth Ranjan1 ; Zulqarnain Rashid1 ; Pauline Conde1 ; Callum Stewart1 ; Petroula Laiou1 ; Heet Sankesara1 ; Faith Matcham7, 8 ; Katie M White7 ; Carolin Oetzmann7 ; Alina Ivan7 ; Femke Lamers9, 10 ; Sara Siddi11, 12, 13 ; Sara Simblett14 ; Aki Rintala15, 16 ; David C Mohr17 ; Inez Myin-Germeys15 ; Til Wykes14, 18 ; Josep Maria Haro11, 12, 13 ; Brenda W J H Penninx9, 10 ; Vaibhav A Narayan6 ; Peter Annas19 ; Matthew Hotopf3, 7, 18 ; Richard J B Dobson1, 2, 3, 4, 5 ; RADAR-CNS Consortium20
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