Hamzah Sakeran
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Preferred name
Hamzah Sakeran
Official Name
Sakeran, Hamzah
Alternative Name
Sakeran, H.
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Scopus Author ID
55209935400
Researcher ID
DXD-2244-2022

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Statistical analysis of postural stability during gait for adults between normal and simulated abnormal gaits

2023 , Xing Hui Wong , Hamzah Sakeran , Mohammad Shahril Salim , Wan Zuki Azman Wan Muhamad , Ahmad Faizal Salleh , Mohamad Azlan Mohamed Shapie

Walking is a common but complex daily activity for human. Walking is done when one leg is elevated and moved forward by flexing the hips and knee. Walking involves association of central nervous system, motor and sensory system. It has been previously shown that disrupted neural communication and musculoskeletal constraints may impair postural control and stability during gait and increase fall risk. Previous research have reported that distance between centre of pressure (COP) and centre of mass (COM) are suitable to study postural stability of patients that is affected by HSP disease. There is no research studied about normal and four types of simulated abnormal gaits which include hemiplegic, diplegic, bilaterally asymmetry and hunchback by analysing COP and COM. Fifteen male subjects and fifteen female subjects were involved in this research. Performances of subjects were captured with QTM system and analysed by Visual 3D software. For females, there was a significant difference in normal and hemiplegic gait in AP direction. For males, normal, hemiplegic and bilaterally asymmetry showed significant differences in AP direction while normal and diplegic demonstrated significant difference in ML direction. This finding concluded that COP-COM method can be suggested for clinical research and rehabilitation purpose.

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Statistical analysis in clinical gait analysis using Kinovea between normal and simulated abnormal gaits

2023 , Suhana Abdul Rahim , Hamzah Sakeran , Ahmad Faizal Salleh , Mohamad Azlan Mohamed Shapie , Wan Zuki Azman Wan Muhamad , Mohammad Shahril Salim

Kinematic analysis of human gait is an effective strategy to detect and assess an individual's gait to diagnose and develop and guide follow-on rehabilitation protocols. So, an accurate, objective gait analysis system has potential to facilitate rehabilitation process. System using smartphone-Kinovea represent an emerging technology for physical activity assessment and that may be relevant for gait analysis. The objective of this study was to determine gait displacement, speed and joint angle by using smartphone-Kinovea software system - to compare the normal gait with four distinct simulated gait abnormalities. Also, to assess validity of the proposed system by compared with QTM as gold standard. 30 participants completed an experiment in which they completed several gait trails on single day. Gait types were analyzed using statistical analysis (two-way MANOVA). As for validation assessment was analyzed using paired t-test by comparing proposed system with QTM. Results shows that joint angles for abnormal gaits are higher mean (Standard Deviation) compared to normal gait during HS and TO. While, normal gait exhibits higher mean (Standard Deviation) for d and s during both IDS and TDS phases compared to other four abnormal gaits in both genders. Also, there are significant different (p<0.05) of gait for all gait comparisons for all parameters, except hip angle of normal-HP with p=0.495. Moreover, there is some gait was similar with other gait due to they shared underlying kinematic aspects such as BA and DP. The validation of the system gives moderate result. These support that the smartphone-Kinovea system have potential in detecting and identifying abnormal gaits, and for future implementation in diagnosis and rehabilitation.

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