Home-based monitoring of falls using wearable sensors in Parkinson's disease.

ABSTRACT:

Introduction

Falling is among the most serious clinical problems in Parkinson's disease (PD). We used body-worn sensors (falls detector worn as a necklace) to quantify the hazard ratio of falls in PD patients in real life.

Methods

We matched all 2063 elderly individuals with self-reported PD to 2063 elderly individuals without PD based on age, gender, comorbidity, and living conditions. We analyzed fall events collected at home via a wearable sensor. Fall events were collected either automatically using the wearable falls detector or were registered by a button push on the same device. We extracted fall events from a 2.5-year window, with an average follow-up of 1.1 years. All falls included were confirmed immediately by a subsequent telephone call. The outcomes evaluated we

SUBMITTER: Silva de Lima AL 

PROVIDER: S-EPMC7003816 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature