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- A machine-learning system remotely analyzes videos of people with motor or neurological disorders, and assesses their movement in real-time. The technology could reduce the need doctor visits for patients with cerebral palsy and other disorders.
news.mit.edu/2023/pose-mapping-technique-cerebral-palsy-patients-0914 - People also ask
Uncovering early predictors of cerebral palsy through the …
WEBThis study aimed to identify the early predictors of CP using machine learning (ML). Design This is a retrospective case–control study, using data from the two population-based databases, the Slovenian National Perinatal Information System and the Slovenian …
A Deep Learning Method to Predict Cerebral Palsy …
WEBJul 11, 2022 · In the deep learning–based method, a video-based infant motion tracker (step 1) constructs a skeleton sequence of 5-second (5s) windows (step 2), in which a deep learning–based prediction model …
- Studies of machine learning for cerebral palsy
Uncovering early predictors of cerebral palsy through the
WEBAug 30, 2024 · This study aimed to identify the early predictors of CP using machine learning (ML). Design: This is a retrospective case-control study, using data from the …
Multivariate Analysis and Machine Learning in Cerebral Palsy …
WEBDec 20, 2017 · In recent years, multivariate analytic and machine learning (ML) approaches have been increasingly used in CP research. This paper aims to identify such …
A machine learning approach to identify cases of cerebral palsy …
WEBA machine learning approach was used to identify likely cases of cerebral palsy in live births between Jan 1, 1990, and April 30, 2016, in the Clinical Practice Research …
Interpreting Deep Learning based Cerebral Palsy Prediction with …
WEBJun 8, 2021 · In this paper, we propose a channel attention module for deep learning models to predict cerebral palsy from infants' body movements, which highlights the …
Development and Validation of a Deep Learning Method to …
WEBJul 11, 2022 · Early identification of cerebral palsy (CP) is important for early intervention, yet expert-based assessments do not permit widespread use, and conventional machine …
A pose-mapping technique could remotely evaluate …
WEBSep 14, 2023 · A machine-learning system remotely analyzes videos of people with motor or neurological disorders, and assesses their movement in real-time. The technology could reduce the need doctor visits for …
Lightweight Neural Architecture Search for Cerebral Palsy Detection
WEB5 days ago · The neurological condition known as cerebral palsy (CP) first manifests in infancy or early childhood and has a lifelong impact on motor coordination and body …
Development and Validation of a Deep Learning Method to …
WEBJul 1, 2022 · In this prognostic study, a deep learning-based method for predicting CP at 9 to 18 weeks' corrected age had predictive accuracy on external validation, which …
Multivariate Analysis and Machine Learning in Cerebral Palsy
WEBDec 21, 2017 · In recent years, multivariate analytic and machine learning (ML) approaches have been increasingly used in CP research. This paper aims to identify …
Explainable Machine Learning in Human Gait Analysis: A Study …
WEBExplainable Machine Learning in Human Gait Analysis: A Study on Children With Cerebral Palsy. Publisher: IEEE. Cite This. PDF. Djordje Slijepcevic; Matthias …
WEBMethods A machine learning approach was used to identify likely cases of cerebral palsy in live births between Jan 1, 1990, and April 30, 2016, in the Clinical Practice Research …
Machine learning algorithms for activity recognition in ambulant ...
WEBNov 15, 2018 · Three supervised learning algorithms were used to build the activity classifiers: Binary Decision Tree (BDT), Random Forest (RF), and Support Vector …
Machine learning applied to gait analysis data in cerebral palsy …
WEBJun 1, 2024 · The literature offers numerous machine learning methods for clustering gait data from cerebral palsy and stroke patients. However, the clinical significance of the …
Measuring functional hand use in children with unilateral cerebral ...
WEBMar 2, 2024 · This study evaluated a dual wrist-worn accelerometry and machine learning approach to measure functional use of the unilateral hand in children with cerebral palsy.
Machine Learning of Infant Spontaneous Movements for the Early ...
WEBDec 18, 2019 · The aim of the present study was to present a novel machine-learning model, the Computer-based Infant Movement Assessment (CIMA) model, for …
New Machine Learning Tech Evaluates Cerebral Palsy Patients …
WEBSep 20, 2023 · Machine learning is also proving accurate in evaluating these young patients. The New Technology. The research team at MIT developing this new …
Machine learning for monitoring and evaluating physical activity in ...
WEBJun 16, 2020 · Machine learning for monitoring and evaluating physical activity in cerebral palsy. Carlo M Bertoncelli, Federico Solla. First published: 16 June 2020. …
Machine learning for monitoring and evaluating physical
WEBMachine learning for monitoring and evaluating physical activity in cerebral palsy. Dev Med Child Neurol. 2020 Sep;62 (9):1010. doi: 10.1111/dmcn.14596. Epub 2020 Jun 16. …
Machine learning algorithms for activity recognition in ambulant ...
WEBNov 15, 2018 · In summary, machine learning classifiers trained on accelerometer features from the wrist, hip and combined hip and wrist can be used to detect PA type in …
Video-Based Automatic Baby Motion Analysis for Early …
WEBJan 24, 2022 · The GMA method provides an assessment of the spontaneous movements, called General movements (GMs), that are present from early fetal life onwards until …
UL student developing AI to revolutionize early cerebral palsy ...
WEB4 hours ago · When Aaron was selecting the residency, the opportunity was more than just a mix of research, machine learning, and healthcare, it connected to something …
Machine learning to quantify habitual physical activity in children ...
WEBMachine learning may assist clinicians in evaluating the efficacy of surgical and therapy-based interventions. Machine learning may help researchers better understand the short …
Machine learning algorithms for activity recognition in ambulant ...
WEBNov 15, 2018 · ML methods provided acceptable classification accuracy for detection of a range of activities commonly performed by ambulatory children with CP. The resultant …
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