Inertial Sensor Algorithms to Characterize Turning in Neurological Patients With Turn Hesitations.

ABSTRACT:

Background

One difficulty in turning algorithm design for inertial sensors is detecting two discrete turns in the same direction, close in time. A second difficulty is under-estimation of turn angle due to short-duration hesitations by people with neurological disorders. We aimed to validate and determine the generalizability of a: I. Discrete Turn Algorithm for variable and sequential turns close in time and II: Merged Turn Algorithm for a single turn angle in the presence of hesitations.

Methods

We validated the Discrete Turn Algorithm with motion capture in healthy controls (HC, n = 10) performing a spectrum of turn angles. Subsequently, the generalizability of the Discrete Turn Algorithm and associated, Merged Turn Algorithm were tested in people with Parkinson's disease

SUBMITTER: Shah VV 

PROVIDER: S-EPMC8428658 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature