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Extracting cervical spine popping sound during neck movement and analyzing its frequency using wavelet transform
1Xiangtan University, Photoelectronic Engineering and Physics, Xiangtan, Hunan, 411105, China.
Computers in Biology and Medicine
|December 31, 2021
Summary
Excessive smartphone use increases cervical spine pain. A new denoising algorithm (WTST-NST) effectively cleans popping sounds, revealing higher frequencies linked to pain during phone use.
Area of Science:
- Biomechanics
- Signal Processing
- Musculoskeletal Health
Background:
- Smartphone overuse is linked to rising cervical spine pain.
- Cervical spine popping sounds can indicate joint status but are often noisy.
- Existing noise reduction methods may alter crucial sound features.
Purpose of the Study:
- To develop and validate a denoising algorithm for cervical spine sounds.
- To analyze frequency components of cervical spine popping sounds.
- To correlate sound features with pain during smartphone use.
Main Methods:
- Wavelet Transform-Based Stationary-Nonstationary (WTST-NST) algorithm applied for denoising.
- Wavelet transform decomposes signals into stationary and nonstationary components.
- Multiresolution analysis used for frequency component analysis.
Main Results:
- WTST-NST algorithm effectively removed noise, producing a clear cervical spine popping sound.
- Frequency components were significantly higher during smartphone use compared to non-use.
- Higher frequencies correlated with self-reported neck and upper back pain.
Conclusions:
- The WTST-NST algorithm accurately denoises cervical spine sounds while preserving signal features.
- Denoised sounds can monitor cervical spine status, especially during smartphone use.
- Increased sound frequencies indicate potential joint issues related to smartphone habits.
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