A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation
Background Markerless motion capture (MMC) technology has been developed to avoid the
need for body marker placement during motion tracking and analysis of human movement …
need for body marker placement during motion tracking and analysis of human movement …
Past, present, and future of deep brain stimulation: hardware, software, imaging, physiology and novel approaches
J Frey, J Cagle, KA Johnson, JK Wong… - Frontiers in …, 2022 - frontiersin.org
Deep brain stimulation (DBS) has advanced treatment options for a variety of neurologic and
neuropsychiatric conditions. As the technology for DBS continues to progress, treatment …
neuropsychiatric conditions. As the technology for DBS continues to progress, treatment …
Computer vision quantification of whole-body Parkinsonian bradykinesia using a large multi-site population
G Morinan, Y Dushin, G Sarapata… - npj Parkinson's …, 2023 - nature.com
Parkinson's disease (PD) is a common neurological disorder, with bradykinesia being one of
its cardinal features. Objective quantification of bradykinesia using computer vision has the …
its cardinal features. Objective quantification of bradykinesia using computer vision has the …
The discerning eye of computer vision: Can it measure Parkinson's finger tap bradykinesia?
S Williams, Z Zhao, A Hafeez, DC Wong… - Journal of the …, 2020 - Elsevier
Objective The worldwide prevalence of Parkinson's disease is increasing. There is urgent
need for new tools to objectively measure the condition. Existing methods to record the …
need for new tools to objectively measure the condition. Existing methods to record the …
Objective measurement versus clinician-based assessment for Parkinson's disease
A Guerra, V D'Onofrio, F Ferreri… - Expert Review of …, 2023 - Taylor & Francis
Introduction Although clinician-based assessment through standardized clinical rating
scales is currently the gold standard for quantifying motor impairment in Parkinson's disease …
scales is currently the gold standard for quantifying motor impairment in Parkinson's disease …
Using AI to measure Parkinson's disease severity at home
MS Islam, W Rahman, A Abdelkader, S Lee… - npj Digital …, 2023 - nature.com
We present an artificial intelligence (AI) system to remotely assess the motor performance of
individuals with Parkinson's disease (PD). In our study, 250 global participants performed a …
individuals with Parkinson's disease (PD). In our study, 250 global participants performed a …
[HTML][HTML] Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks
Accurate 3D tracking of hand and fingers movements poses significant challenges in
computer vision. The potential applications span across multiple domains, including human …
computer vision. The potential applications span across multiple domains, including human …
Machine learning and wearable sensors for automated Parkinson's disease diagnosis aid: A systematic review
L di Biase, PM Pecoraro, G Pecoraro, SA Shah… - Journal of …, 2024 - Springer
Abstract Background The diagnosis of Parkinson's disease is currently based on clinical
evaluation. Despite clinical hallmarks, unfortunately, the error rate is still significant. Low in …
evaluation. Despite clinical hallmarks, unfortunately, the error rate is still significant. Low in …
The TAS Test project: a prospective longitudinal validation of new online motor-cognitive tests to detect preclinical Alzheimer's disease and estimate 5-year risks of …
Background The worldwide prevalence of dementia is rapidly rising. Alzheimer's disease
(AD), accounts for 70% of cases and has a 10–20-year preclinical period, when brain …
(AD), accounts for 70% of cases and has a 10–20-year preclinical period, when brain …
Remote evaluation of Parkinson's disease using a conventional webcam and artificial intelligence
MHG Monje, S Domínguez, J Vera-Olmos… - Frontiers in …, 2021 - frontiersin.org
Objective: This study aimed to prove the concept of a new optical video-based system to
measure Parkinson's disease (PD) remotely using an accessible standard webcam …
measure Parkinson's disease (PD) remotely using an accessible standard webcam …