Gait symmetry methods: Comparison of waveform-based Methods and recommendation for use. (January 2020)

• Record Type: Journal Article
• Authors: Viteckova, Slavka; Khandelwal, Siddhartha; Kutilek, Patrik; Krupicka, Radim; Szabo, Zoltan
• Is Part Of: Biomedical signal processing and control. Volume 55(2020)
• Publication Date: 2020-01
• Subjects: Gait symmetry -- Trend method -- Cyclogram -- Symbolic method -- Cross-Correlation; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2019.101643
• Languages: English
• ISSNs: 1746-8094

Abstract

Highlights: All symmetry methods showed differences between the signals with different shapes. Cross-correlation method is sensitive to gait initiation phase. Cyclogram-based method is sensitive to signal scaling. Trend method and cross-correlation method are sensitive to signal phase shift. Abstract: Gait symmetry has been shown to be a relevant measure for differentiating between normal and pathological gait. Although a number of symmetry methods exist, it is not clear which of these methods should be used as they have been developed using data collected from varying experimental protocols. This paper presents a comparison of state-of-the-art waveform-based symmetry methods and tests them on walking data collected from different environments. Acceleration signals collected from the ankle are used to analyse symmetry methods under different signal circumstances, such as phase shift, waveform shape difference, signal length ( i.e . number of gait cycles) and gait initiation phase. The cyclogram based method is invariant to signal phase shifts, signal length and the gait initiation phase. The trend symmetry method is not affected by signal scaling and the gait initiation phase but is affected by signal length depending on the environment. Similar to the trend method, the cross-correlation symmetry method is not responsive to signal scaling and the gait initiation phase. The results of the symbolic method are not influenced by signal scaling, gait initiation and depending on the environment by the signal phase shift. From the results of the performed analysis, we recommend the trend method to gait symmetry assessment. The comparison of waveform-based symmetry methods brings new knowledge that will help in selecting an appropriate method for gait symmetry assessment under different experimental protocols.