Cargando…
Clinical Spasticity Assessment Assisted by Machine Learning Methods and Rule-Based Decision
The Modified Ashworth Scale (MAS) is commonly used to assess spasticity in clinics. The qualitative description of MAS has resulted in ambiguity during spasticity assessment. This work supports spasticity assessment by providing measurement data acquired from wireless wearable sensors, i.e., goniome...
Autores principales: | Yee, Jingye, Low, Cheng Yee, Mohamad Hashim, Natiara, Che Zakaria, Noor Ayuni, Johar, Khairunnisa, Othman, Nurul Atiqah, Chieng, Hock Hung, Hanapiah, Fazah Akhtar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955808/ https://www.ncbi.nlm.nih.gov/pubmed/36832227 http://dx.doi.org/10.3390/diagnostics13040739 |
Ejemplares similares
-
Gamification and Control of Nitinol Based Ankle Rehabilitation Robot
por: Hau, Chong Tune, et al.
Publicado: (2021) -
Revisiting Spasticity After Stroke: Clustering Clinical Characteristics for Identifying At-Risk Individuals
por: Ahmedy, Fatimah, et al.
Publicado: (2021) -
Effects of Concurrent Tasks on Gait Performance in Children With Traumatic Brain Injury Versus Children With Typical Development
por: Rahman, Rabiatul Adawiah Abdul, et al.
Publicado: (2021) -
Effect of Dual-Task Conditions on Gait Performance during Timed Up and Go Test in Children with Traumatic Brain Injury
por: Abdul Rahman, Rabiatul Adawiah, et al.
Publicado: (2018) -
Exoskeletal wearable robot on ambulatory function in patients with stroke: a protocol for an international, multicentre, randomised controlled study
por: Chang, Won Hyuk, et al.
Publicado: (2023)