[HTML][HTML] Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine …
H Haberfehlner, SS van de Ven… - Frontiers in Robotics …, 2023 - frontiersin.org
Introduction: Video-based clinical rating plays an important role in assessing dystonia and
monitoring the effect of treatment in dyskinetic cerebral palsy (CP). However, evaluation by …
monitoring the effect of treatment in dyskinetic cerebral palsy (CP). However, evaluation by …
Automatic video tracking using deep learning in dyskinetic cerebral palsy
H Haberfehlner, AI Buizer, KL Stolk, SS van de Ven… - Gait & Posture, 2020 - Elsevier
3. Methods 188 videos of 34 participants (8-23 years; GMFCS IV-V) from the IDYS trial [5]
were used. Sequences of twenty seconds (500 frames) were selected from videos during …
were used. Sequences of twenty seconds (500 frames) were selected from videos during …
[HTML][HTML] Home-based measurements of dystonia in cerebral palsy using smartphone-coupled inertial sensor technology and machine learning: A proof-of-concept …
D Den Hartog, MM van der Krogt, S van der Burg… - Sensors, 2022 - mdpi.com
Accurate and reliable measurement of the severity of dystonia is essential for the indication,
evaluation, monitoring and fine-tuning of treatments. Assessment of dystonia in children and …
evaluation, monitoring and fine-tuning of treatments. Assessment of dystonia in children and …
A Novel Video-Based Methodology for Automated Classification of Dystonia and Choreoathetosis in Dyskinetic Cerebral Palsy During a Lower Extremity Task
H Haberfehlner, Z Roth… - … and Neural Repair, 2024 - journals.sagepub.com
Background Movement disorders in children and adolescents with dyskinetic cerebral palsy
(CP) are commonly assessed from video recordings, however scoring is time-consuming …
(CP) are commonly assessed from video recordings, however scoring is time-consuming …
[HTML][HTML] Deep learning based markerless motion tracking as a clinical tool for movement disorders: Utility, feasibility and early experience
RN Tien, A Tekriwal, DJ Calame, JP Platt… - Frontiers in Signal …, 2022 - frontiersin.org
Clinical assessments of movement disorders currently rely on the administration of rating
scales, which, while clinimetrically validated and reliable, depend on clinicians' subjective …
scales, which, while clinimetrically validated and reliable, depend on clinicians' subjective …
Feature selection from markerless movement recordings to assess dystonia in children with cerebral palsy
KL Stolk, M Schwartz, MM van der Krogt… - Gait & Posture, 2020 - Elsevier
Methods 34 Children with dyskinetic CP (8–22 years old, GMFCS level IV and V) were
included in the study [2]. Video recordings of twenty seconds were collected at one to three …
included in the study [2]. Video recordings of twenty seconds were collected at one to three …
Determinants of gait dystonia severity in cerebral palsy
BR Aravamuthan, TS Pearson, K Ueda… - … Medicine & Child …, 2023 - Wiley Online Library
Aim To determine the movement features governing expert assessment of gait dystonia
severity in individuals with cerebral palsy (CP). Method In this prospective cohort study …
severity in individuals with cerebral palsy (CP). Method In this prospective cohort study …
Objective measurement of limb bradykinesia using a marker-less tracking algorithm with 2D-video in PD patients
Background Quantitative measurement of parkinsonian motor symptoms is crucial in clinical
practice and in research. However, the widely used Unified PD Rating Scale (UPDRS) part …
practice and in research. However, the widely used Unified PD Rating Scale (UPDRS) part …
Quantitative movement analysis using scaled information implied in monocular videos
Background: Quantitative movement analysis is significant in clinic decision-making for
neurological diseases. However, current methods fail to be widely used due to expensive …
neurological diseases. However, current methods fail to be widely used due to expensive …
[HTML][HTML] Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinson's …
S Baker, A Tekriwal, G Felsen, E Christensen, L Hirt… - Plos one, 2022 - journals.plos.org
Optimal placement of deep brain stimulation (DBS) therapy for treating movement disorders
routinely relies on intraoperative motor testing for target determination. However, in current …
routinely relies on intraoperative motor testing for target determination. However, in current …
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