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Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach
Research article (Journal of NeuroEngineering and Rehabilitation, 2020) · cited 118× · AI/ML
Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach
Summary
Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach is a scholarly article[1].
Key Facts
Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/classification-of-parkinsons-disease-and-essential-tremor-based-on-balance-and-gait-characteristics-from-wearable-motion
MLA“Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classification-of-parkinsons-disease-and-essential-tremor-based-on-balance-and-gait-characteristics-from-wearable-motion.
BibTeX@misc{4ortxyz_classification-of-parkinsons-disease-and-essential-tremor-based-on-balance-and-gait-characteristics-from-wearable-motion_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach}}, year = {2026}, url = {https://4ort.xyz/entity/classification-of-parkinsons-disease-and-essential-tremor-based-on-balance-and-gait-characteristics-from-wearable-motion}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach — https://4ort.xyz/entity/classification-of-parkinsons-disease-and-essential-tremor-based-on-balance-and-gait-characteristics-from-wearable-motion (retrieved 2026-05-24)
