[HTML][HTML] A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation

WWT Lam, YM Tang, KNK Fong - Journal of neuroengineering and …, 2023 - Springer
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 …

Artificial intelligence-assisted smartphone-based sensing for bioanalytical applications: A review

Y Yang, F Xu, J Chen, C Tao, Y Li, Q Chen… - Biosensors and …, 2023 - Elsevier
Artificial intelligence (AI) has received great attention since the concept was proposed, and it
has developed rapidly in recent years with applications in many fields. Meanwhile, newer …

[HTML][HTML] Video-based hand movement analysis of Parkinson patients before and after medication using high-frame-rate videos and MediaPipe

G Güney, TS Jansen, S Dill, JB Schulz, M Dafotakis… - Sensors, 2022 - mdpi.com
Tremor is one of the common symptoms of Parkinson's disease (PD). Thanks to the recent
evolution of digital technologies, monitoring of PD patients' hand movements employing …

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 …

[HTML][HTML] Smartphone video nystagmography using convolutional neural networks: ConVNG

MU Friedrich, E Schneider, M Buerklein, J Taeger… - Journal of …, 2023 - Springer
Background Eye movement abnormalities are commonplace in neurological disorders.
However, unaided eye movement assessments lack granularity. Although videooculography …

[HTML][HTML] Hand tremor detection in videos with cluttered background using neural network based approaches

X Wang, S Garg, SN Tran, Q Bai, J Alty - Health Information Science and …, 2021 - Springer
With the increasing prevalence of neurodegenerative diseases, including Parkinson's
disease, hand tremor detection has become a popular research topic because it helps with …

[HTML][HTML] The TAS Test project: a prospective longitudinal validation of new online motor-cognitive tests to detect preclinical Alzheimer's disease and estimate 5-year …

J Alty, Q Bai, R Li, K Lawler, RJ St George, E Hill… - BMC neurology, 2022 - Springer
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 …

Moving towards intelligent telemedicine: Computer vision measurement of human movement

R Li, RJ St George, X Wang, K Lawler, E Hill… - Computers in Biology …, 2022 - Elsevier
Background: Telemedicine video consultations are rapidly increasing globally, accelerated
by the COVID-19 pandemic. This presents opportunities to use computer vision technologies …

Tremor rating scales and laboratory tools for assessing tremor

RJ Elble, W Ondo - Journal of the Neurological Sciences, 2022 - Elsevier
The purpose of this review is to characterize and compare validated clinical rating scales
and transducers that are used in the clinical assessment of tremor disorders. Tremor is an …

[HTML][HTML] Upper limb intention tremor assessment: opportunities and challenges in wearable technology

N Paredes-Acuna, D Utpadel-Fischler, K Ding… - Journal of …, 2024 - Springer
Background Tremors are involuntary rhythmic movements commonly present in neurological
diseases such as Parkinson's disease, essential tremor, and multiple sclerosis. Intention …