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

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  • Publication
    Gait Analysis with Kanri Distance Calculator following Anterior Cruciate Ligament Reconstruction
    ( 2020-06-17)
    Hamzah Sakeran
    ;
    Abu Osman N.A.
    ;
    Mohd Shukry Abdul Majid
    ;
    Wan Azani Wan Mustafa
    ;
    Syed Zulkarnain Syed Idrus
    Anterior Cruciate Ligament (ACL) injury is very prevalent in the field of orthopaedics, particularly in sports. Different parameters can be used to forecast an Anterior Cruciate Ligament (ACLR) patient's health condition. The aim of this research is to use Mahalanobis Taguchi System (MTS) methodology to identify useful biomechanical variables from multivariate parameters through Kanri Distance Calculator (KDC). This study analyzed biomechanical variables based on the knee flexion and extension moment and peak vertical ground reaction force from kinetic parameters; phase swing / stance, step and step length and gait velocity from spatial temporal parameter; range of motion from kinetic parameters. This experiment engaged 15 healthy subjects and 10 ACL reconstructed patients. Then, by optimizing the KDC, the 9 attributes are reduced to 7, which are knee flexion and extension moment, speed, step length and stance / swing phase. Key attributes such as swing time and moment of knee flexion are identified as optimal variables of impact in the population. KDC extends our understanding to the correlation of characteristics and enables individual diagnosis to be performed. Then the suitable rehabilitation protocol can be objectively suggested for quicker recovery to specific subjects.
      2
  • Publication
    Gait classification using Mahalanobis–Taguchi system for health monitoring systems following anterior cruciate ligament reconstruction
    ( 2019)
    Hamzah Sakeran
    ;
    Noor Azuan Abu Osman
    ;
    Mohd Shukry Abdul Majid
    In this paper, a gait patterns classification system is proposed, which is based on Mahalanobis–Taguchi System (MTS). The classification of gait patterns is necessary in order to ascertain the rehab outcome among anterior cruciate ligament reconstruction (ACLR) patients. (1) Background: One of the most critical discussion about when ACLR patients should return to work (RTW). The objective was to use Mahalanobis distance (MD) to classify between the gait patterns of the control and ACLR groups, while the Taguchi Method (TM) was employed to choose the useful features. Moreover, MD was also utilised to ascertain whether the ACLR group approaching RTW. The combination of these two methods is called as Mahalanobis-Taguchi System (MTS). (2) Methods: This study compared the gait of 15 control subjects to a group of 10 subjects with laboratory. Later, the data were analysed using MTS. The analysis was based on 11 spatiotemporal parameters. (3) Results: The results showed that gait deviations can be identified successfully, while the ACLR can be classified with higher precision by MTS. The MDs of the healthy group ranged from 0.560 to 1.180, while the MDs of the ACLR group ranged from 2.308 to 1509.811. Out of the 11 spatiotemporal parameters analysed, only eight parameters were considered as useful features. (4) Conclusions: These results indicate that MTS can effectively detect the ACLR recovery progress with reduced number of useful features. MTS enabled doctors or physiotherapists to provide a clinical assessment of their patients with more objec
      4  7