Observational studyJournal of neuroengineering and rehabilitation2020
Quantifying dosage of physical therapy using lower body kinematics: a longitudinal pilot study on early post-stroke individuals.
Observational study in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2021Pooled it
- Digital biomarkers derived from wearable sensors in neurorehabilitation: a scoping review.Frontiers in neurology · 2026Article
- Effects of frailty and walking speed on gait variability in older adults.Frontiers in medicine · 2026Article
- Validity of Poststroke Gait Spatiotemporal and Joint Excursion Metrics Between Inertial Measurement Units and a Marker-Based System.Journal of applied biomechanics · 2025Article
- Do Bernstein's Stages of Learning Apply after Stroke? A Scoping Review on the Development of Whole-Body Coordination after Cerebrovascular Accidents.Brain sciences · 2023Article
- The effect of biomechanical features on classification of dual-task gait.IEEE sensors journal · 2023Article
- Opportunities for Improving Motor Assessment and Rehabilitation After Stroke by Leveraging Video-Based Pose Estimation.American journal of physical medicine & rehabilitation · 2023Article
- Merged swing-muscle synergies and their relation to walking characteristics in subacute post-stroke patients: An observational study.PloS one · 2022Observational
- Wearable Sensors Improve Prediction of Post-Stroke Walking Function Following Inpatient Rehabilitation.IEEE journal of translational engineering in health and medicine · 2022Article
- The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review.Sensors (Basel, Switzerland) · 2020Review
- Automate, Illuminate, Predict: A Universal Framework for Integrating Wearable Sensors in Healthcare.Digital biomarkersArticle
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhile therapy is an important part of the recovery process, there is a lack of quantitative data detailing the "dosage" of therapy received due to the limitations on in/outpatient accessibility and mobility. Advances in wearable sensor technology have allowed us to obtain an unprecedented glimpse into joint-level kinematics in an unobtrusive manner. The objective of this observational longitudinal pilot study was to evaluate the relations between lower body joint kinematics during therapy and functional gait recovery over the first three months after stroke.
methodsSix individuals with subacute stroke (< 1 month) were monitored for a total of 59 one-hour physical therapy sessions including gait and non-gait activities. Participants donned a heart rate monitor and an inertial motion capture system to measure full lower body joint kinematics during each therapy session. Linear mixed regression models were used to examine relations between functional gait recovery (speed) and activity features including total joint displacements, defined as amount of motion (AoM), step number, change in heart rate (∆HR), and types of tasks performed.
resultsAll activity features including AoM, step number, types of tasks performed (all p < 0.01), and ∆HR (p < 0.05) showed strong associations with gait speed. However, AoM (R
conclusionsThis proof-of-concept study shows that recording joint kinematics during gait therapy longitudinally after stroke is feasible and yields important information for the recovery process. These initial results suggest that compared to step number, more holistic outcome measures such as joint motions may be more informative and help elucidate the dosage of therapy.
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