Back to search

Article

Real world validation of activity recognition algorithm and development of novel behavioral biomarkers of falls in aged control and movement disorder patients

2022-11-28

Abstract excerpt

The use of wearable sensors in movement disorder patients such as Parkinson’s disease (PD) and normal pressure hydrocephalus (NPH) is becoming more widespread, but most studies are limited to characterizing general aspects of mobility using smartphones. There is a need to accurately identify specific activities at home in order to properly evaluate gait and balance at home, where most falls occur. We developed an...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9827fa1d-a0f9-5f8e-b529-914c3287fe37
DOI
10.1101/2022.11.23.22282685
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Real world validation of activity recognition algorithm and development of novel behavioral biomarkers of falls in aged control and movement disorder patientsDOI 10.1101/2022.11.23.22282685
Select a neighboring publication to make it the new centre.