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NYU Dataset
PrimSeq: A Deep Learning-based Pipeline to Quantitate Rehabilitation Training
- Authors
- Avinash ParnandiAakash KakuAnita VenkatesanNatasha Pandit6 more author(s)...
- Description
To develop the Primitive Sequencing pipeline (PrimSeq), a deep learning-based framework to automatically identify and count functional primitives in rehabilitation training, investigators captured the upper body motion of 41 chronic stroke patients aged 21 to 84 years old who performed a battery of rehabilitation activities. Eligibility criteria included premorbid right-handedness, ability to give...
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Anatomy
- Access Rights
- Free to All
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Quantitative Structured Office Measurements of Movements in the Extremities
- Authors
- Timothy P. HarriganBrian J. HwangAnil K. MathurKelly A. Mills10 more author(s)...
- Description
To test a low-cost system for obtaining continuous quantitative measurements of movements of people with Parkinson’s disease (PD), investigators attached accelerometers to the upper and lower extremities of twenty patients with Parkinson’s disease, one patient with multiple system atrophy (MSA) (participant 4), and eight age- and sex-matched healthy controls (HC) who performed twelve tasks modified...
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Chronic DiseaseNeuroscience
- Access Rights
- Free to All
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Signal Processing of Quantitative Continuous Measurement of Movements in the Extremities
- Authors
- Liran ZiegelmanManuel E. HernandezTanvi KosuriSamuel D. Martin31 more author(s)...
- Description
32 raters certified in the administration of the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) were presented with two sets of 40 quizzes containing five representations of the ratings of participants with Parkinson's disease (PD) with single sessions for the scoring of (A) output signals and FFTs and (B) CWTs (Pilot Test and Retest). Each panel consisted of six images...
- Subject
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Chronic DiseaseNeuroscience
- Access Rights
- Free to All