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Can we diagnose disk and facet degeneration in lumbar spine by acoustic analysis of spine sounds?

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A Correction to this article was published on 10 November 2020

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Abstract

This study aims to investigate spine sounds from a perspective that would make their use for diagnostic purposes of any spinal pathology possible. People with spine problems can be determined using joint sounds collected from the involved area of the spinal columns of subjects. In our sound dataset, it is observed that a ‘click’ sound is detected in individuals who are suffering from low back pain. Recorded joint sounds are classified using automatic speech recognition algorithm. mel-frequency cepstrum coefficients (MFCC) are extracted from the sound signals as feature vectors. MFCC’s are classified using an artificial neural networks, which is currently the state-of-the-art speech recognition tool. The algorithm has a high success rate of detecting ‘click’ sounds in a given sound signal and it can perfectly identify and differentiate healthy individuals from unhealthy subjects in our data set. Spine sounds have the potential of serving as a reliable marker of the spine health.

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Authors and Affiliations

  1. Department of Orthopaedics and Traumatology, Ministry of Health, Antalya Research and Education Hospital, University of Health Science, Antalya, Turkey

    Vugar Nabi

  2. Department of Neurosurgery, Başkent University Hospital, Ankara, Turkey

    Selim Ayhan

  3. Ankara Spine Center, İran Caddesi 45/2 Kavaklıdere, Ankara, Turkey

    Emre Acaroglu

  4. BAE Systems, Marconi Way, Chatham, Rochester, Kent, ME1 2XX, UK

    Mustafa Arda Ahi

  5. Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA, USA

    Hakan Toreyin

  6. Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, 60640, USA

    A. Enis Cetin

Authors
  1. Vugar Nabi
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  2. Selim Ayhan
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  3. Emre Acaroglu
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  4. Mustafa Arda Ahi
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  5. Hakan Toreyin
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  6. A. Enis Cetin
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Contributions

Concept development and idea for the research were contributed by AEC and EA. Design of the methods and experiments were performed by HT, MAA, and VN. Sound data collection, recording and processing were done by MAA, VN, and SA. Android APP development was done by MAA. MRIs were graded for disk (DD) and facet joint (FD) degeneration by VN and SA. Statistical data analysis and presentation of the results were performed by AEC. Literature search was done by HT, EA and AEC. Manuscript writing was performed by AEC, EA, and HT.

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Correspondence to Mustafa Arda Ahi.

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Nabi, V., Ayhan, S., Acaroglu, E. et al. Can we diagnose disk and facet degeneration in lumbar spine by acoustic analysis of spine sounds?. SIViP 15, 557–562 (2021). https://doi.org/10.1007/s11760-020-01776-3

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  • DOI: https://doi.org/10.1007/s11760-020-01776-3

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