Lee, Teng Hong and Shair, Ezreen Farina and Abdullah, Abdul Rahim and Kazi Ashikur, Rahman and Nazmi N. (2024) Comparison of short fast fourier transform and continuous wavelet transform in study of stride interval. In: Proceedings of the 10th World Congress on Electrical Engineering and Computer Systems and Sciences (EECSS'24), 19 August 2024 through 21 August 2024, Barcelona, Spain.
![[img]](http://eprints.utem.edu.my/style/images/fileicons/text.png) |
Text
Comparison of short fast Fourier transform and continuous wavelet transform in study of stride interval.pdf Restricted to Registered users only Download (1MB) |
Abstract
Neurodegenerative diseases (NDD) are a heterogeneous group of complex diseases characterized by neuronal loss and progressive degeneration of different areas of the nervous system. Gait analysis presents an early recognition system for NDD which is important to increase the patient’s awareness of their health conditions. However, it is very difficult to identify and formulate suitable digital biomarkers from the data collected from gait experiments such as stride interval and swing. The objective of this paper is to compare the result of Short – Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) on the collected stride interval of healthy young people and healthy old people. In this paper, STFT and CWT are performed on the collected stride interval and from the result of the STFT and CWT, further features are extracted like instantaneous RMS and maximum RMS value. STFT is performed on the collected stride interval from a window length of 64 to 512 while CWT is performed on the collected stride interval from the scale of 128 to 2048. The processing time of the STFT and CWT with varied window lengths and scales respectively are collected. Besides, the actual maximum time from the time – frequency plot derived from STFT and CWT is also collected. Both STFT and CWT show that the young group has a higher maximum RMS, an indication of higher stride interval than the old group and higher variance, an indication of higher gait complexity. The suitable window lengths for STFT in analyzing the stride interval are 64 and 128 while the scale for CWT should be set to the lowest scale. Overall, STFT with a window length of 64 and 128 is better in analyzing the stride interval due to low processing time at the expense of slightly less accurate time – frequency representation.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Neurodegenerative diseases (NDD), Gait analysis, Digital biomarkers, Short – time fourier transform (STFT), Continuous wavelet transform (CWT) |
| Divisions: | Faculty Of Electrical Technology And Engineering |
| Depositing User: | NUR FARISAH JAFRIN |
| Date Deposited: | 23 Jul 2026 00:42 |
| Last Modified: | 23 Jul 2026 00:42 |
| URI: | http://eprints.utem.edu.my/id/eprint/29888 |
| Statistic Details: | View Download Statistic |
Actions (login required)
 |
View Item |