Performance Characteristics of Stroke Patients using the Motor Activity Log and ANOVA Analysis


  • Mohd Azri Abd Mutalib Machine Design Section, Machinery Technology Centre, SIRIM Berhad, Lot 1A, Persiaran Zurah, Kawasan Perindustrian Rasa, 44200 Rasa, Selangor, Malaysia
  • Norsinnira Zainul Azlan Department of Mechatronics Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, 53100 Jalan Gombak, Kuala Lumpur, Malaysia
  • Nor Mohd Haziq Norsahperi Department of Electrical & Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia,43400 Serdang, Selangor, Malaysia
  • Hafizu Ibrahim Hassan Department of Mechatronics Engineering, Ahmadu Bello University, 810211 Zaria, Nigeria



Activity of Daily Living, ANOVA Analysis, Motor Activity Log, Occupational Therapy, Stroke Rehabilitation


Scoring system is crucial in evaluating a patient’s stroke severity and monitoring their recovery progress. The current manual and subjective approach heavily relies on the individual expertise of therapists, resulting in inconsistent scores and an increased burden on the therapist’s expertise resulting in inconsistent scores and increased burden on the therapist’s workload. This pilot study automate and refine the scoring methodology utiised for matient’s assessment. This study focuses on Motor Activity Log (MAL), a widely acknowledged standard clinical assessment that incorporates the evaluation of Activities of Daily Living (ADL) in stroke patients. Data are collected from 30 healthy individuals and 30 stroke patients. Two statistical analyses using one-way ANOVA are performed to check the data characteristics and assess the effectiveness of the MAL in this context. The analysis results indicated two scores that did not show significant differences, specifically 0.328 for the Rotation X parameter in the DoorKnob activity and 0.587 for the Time parameter in the Water Faucet activity. This demonstrates that this test method can effectively differentiate between each stroke patient. This initiative represents a significant step towards establishing a more standardised and objective scoring system, contributing to a more consistent and efficient evaluation of stroke patients' performance characteristics and recovery trajectories.


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How to Cite

M. A. Abd Mutalib, N. Zainul Azlan, N. M. H. Norsahperi, and H. I. Hassan, “Performance Characteristics of Stroke Patients using the Motor Activity Log and ANOVA Analysis”, Mekatronika: J. Intell. Manuf. Mechatron., vol. 6, no. 1, pp. 44–52, May 2024.



Original Article