AIMC Topic: Parkinson Disease
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Validity of artificial intelligence-based markerless motion capture system for clinical gait analysis: Spatiotemporal results in healthy adults and adults with Parkinson's disease.
Journal of biomechanics
May 19, 2023
Markerless motion capture methods are continuously in development to target limitations encountered in marker-, sensor-, or depth-based systems. Previous evaluation of the KinaTrax markerless system was limited by differences in model definitions, ga...
Stereotactic robot-assisted MRI-guided laser interstitial thermal therapy thalamotomy for medically intractable Parkinson's disease tremor: technical note and preliminary effects on 2 cases.
Acta neurochirurgica
May 4, 2023
BACKGROUND: Medically intractable Parkinson's disease (PD) tremor is a common difficult clinical situation with major impact on patient's quality of life (QOL). Deep brain stimulation (DBS) is an effective therapy but is not an option for many patien...
Deep learning segmentation results in precise delineation of the putamen in multiple system atrophy.
European radiology
May 1, 2023
OBJECTIVES: The precise segmentation of atrophic structures remains challenging in neurodegenerative diseases. We determined the performance of a Deep Neural Patchwork (DNP) in comparison to established segmentation algorithms regarding the ability t...
Explainable classification of Parkinson's disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets.
NeuroImage. Clinical
Apr 17, 2023
INTRODUCTION: Parkinson's disease (PD) is a severe neurodegenerative disease that affects millions of people. Early diagnosis is important to facilitate prompt interventions to slow down disease progression. However, accurate PD diagnosis can be chal...
Parkinson's disease detection and classification using EEG based on deep CNN-LSTM model.
Biotechnology & genetic engineering reviews
Apr 11, 2023
The progressive loss of motor function in the brain is a hallmark of Parkinson's disease (PD). Electroencephalogram (EEG) signals are commonly used for early diagnosis since they are associated with a brain disorder. This work aims to find a better w...
Robot-assisted investigation of sensorimotor control in Parkinson's disease.
Scientific reports
Mar 23, 2023
Sensorimotor control (SMC) is a complex function that involves sensory, cognitive, and motor systems working together to plan, update and execute voluntary movements. Any abnormality in these systems could lead to deficits in SMC, which would negativ...
Artificial Intelligence-Based Voice Assessment of Patients with Parkinson's Disease Off and On Treatment: Machine vs. Deep-Learning Comparison.
Sensors (Basel, Switzerland)
Feb 18, 2023
Parkinson's Disease (PD) is one of the most common non-curable neurodegenerative diseases. Diagnosis is achieved clinically on the basis of different symptoms with considerable delays from the onset of neurodegenerative processes in the central nervo...
Efficacy of rehabilitation robot-assisted gait training on lower extremity dyskinesia in patients with Parkinson's disease: A systematic review and meta-analysis.
Ageing research reviews
Jan 9, 2023
BACKGROUND: Robot-assisted training is used as a new rehabilitation training method for the treatment of motor dysfunction in neurological diseases. Robot-assisted gait training (RAGT) has been reported to treat motor dysfunction in patients with Par...
A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions-A Deep Learning Approach.
IEEE journal of biomedical and health informatics
Jan 4, 2023
This study examined the effectiveness of a vision-based framework for multiple sclerosis (MS) and Parkinson's disease (PD) gait dysfunction prediction. We collected gait video data from multi-view digital cameras during self-paced walking from MS, PD...
Dialogue agents for artificial intelligence-based conversational systems for cognitively disabled: a systematic review.
Disability and rehabilitation. Assistive technology
Nov 22, 2022
PURPOSE: We present a systematic literature review of dialogue agents for Artificial Intelligence (AI) and agent-based conversational systems dealing with cognitive disability of aged and impaired people including dementia and Parkinson's disease. We...
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