Clinical Spasticity Assessment Assisted by Machine Learning Methods and Rule-Based Decision

• Main Authors: Jingye Yee, Jingye Yee, Cheng Yee Low, Cheng Yee Low, Mohamad Hashim, Natiara, Che Zakaria, Noor Ayuni, Johar, Khairunnisa, Othman, Nurul Atiqah, Hock Hung Chieng, Hock Hung Chieng, Hanapiah, Fazah Akhtar
• Format: Article
• Language: English
• Published: mdpi 2023
• Subjects: T Technology (General)
• Online Access: http://eprints.uthm.edu.my/8925/1/J15866_3962a9a5eedc50a7d3cf3ed014298823.pdf; http://eprints.uthm.edu.my/8925/; https://doi.org/10.3390/diagnostics13040739

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...