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APDM Wearable Technologies mobilitylab software
Mobilitylab Software, supplied by APDM Wearable Technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/mobilitylab+software/mobility+lab+software/pmc11621420-166-1-3
Average 90 stars, based on 1 article reviews
mobilitylab software - by Bioz Stars, 2026-10
90/100 stars

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Software:

Article Title: Predicting future fallers in Parkinson's disease using kinematic data over a period of 5 years.
Article Snippet: .. The MobilityLab software (APDM, Portland, Oregon, USA) was used to automatically extract kinematic features, a list of which can be found in SupplementaryTable 1. ..

Article Title: In Vivo Brain Glutathione is Higher in Older Age and Correlates with Mobility
Article Snippet: .. Inertial data were recorded using MobilityLab software (version 2; APDM Wearable Technologies Inc., Portland, OR, USA). ..

Article Title: Wearable sensors detect impaired gait and coordination in LBSL during remote assessments
Article Snippet: .. MobilityLab software was also used for the analysis of the balance trials (APDM). ..

Article Title: Wearable sensors detect impaired gait and coordination in LBSL during remote assessments
Article Snippet: .. To assess gait, a 2‐min Walk Test was performed, during which the participant walks in a straight line at a comfortable, natural pace, turns around at the stop point, and walks back to the original start point over a duration of 2 min. MobilityLab software was used to analyze the walk trials according to proprietary algorithms (APDM). ..

Article Title: Differential Relationships Between Brain Structure and Dual Task Walking in Young and Older Adults
Article Snippet: .. During the walking tasks, we recorded inertial data using MobilityLab software (v2; APDM Wearable Technologies Inc., Portland, OR, USA). ..

Article Title: Predicting future fallers in Parkinson’s disease using kinematic data over a period of 5 years
Article Snippet: .. The MobilityLab software (APDM, Portland, Oregon, USA) was used to automatically extract kinematic features, a list of which can be found in Supplementary Table . ..

Article Title: Predicting slight freezing of gait in Parkinson's disease with anticipatory postural adjustments and limits of stability.
Article Snippet: Introduction: Gait initiation (GI) includes automatic and voluntary movements.. However, research on their impact on the first step in patients with Parkinson’s disease (PD) and their relationship to freezing of gait (FOG) is lacking.. We examined the effects of automatic movements (anticipatory postural adjustments [APAs]) and voluntary movements (limits of stability [LOS]) on the first step (first-step duration and first-step range of motion), along with their early recognition and prediction of slight FOG.



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