Distinction of non-specific low back pain patients with proprioceptive disorders from healthy individuals by linear discriminant analysis
The central nervous system (CNS) dynamically employs a sophisticated weighting strategy of sensory input, including vision, vestibular and proprioception signals, towards attaining optimal postural control during different conditions. Non-specific low back pain (NSLBP) patients frequently demonstrat...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2022.1078805/full |
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| author | Seyed Mohammadreza Shokouhyan Mehrdad Davoudi Mehrdad Davoudi Maryam Hoviattalab Mohsen Abedi Soha Bervis Soha Bervis Mohamad Parnianpour Simon Brumagne Kinda Khalaf |
| author_facet | Seyed Mohammadreza Shokouhyan Mehrdad Davoudi Mehrdad Davoudi Maryam Hoviattalab Mohsen Abedi Soha Bervis Soha Bervis Mohamad Parnianpour Simon Brumagne Kinda Khalaf |
| author_sort | Seyed Mohammadreza Shokouhyan |
| collection | DOAJ |
| description | The central nervous system (CNS) dynamically employs a sophisticated weighting strategy of sensory input, including vision, vestibular and proprioception signals, towards attaining optimal postural control during different conditions. Non-specific low back pain (NSLBP) patients frequently demonstrate postural control deficiencies which are generally attributed to challenges in proprioceptive reweighting, where they often rely on an ankle strategy regardless of postural conditions. Such impairment could lead to potential loss of balance, increased risk of falling, and Low back pain recurrence. In this study, linear and non-linear indicators were extracted from center-of-pressure (COP) and trunk sagittal angle data based on 4 conditions of vibration positioning (vibration on the back, ankle, none or both), 2 surface conditions (foam or rigid), and 2 different groups (healthy and non-specific low back pain patients). Linear discriminant analysis (LDA) was performed on linear and non-linear indicators to identify the best sensory condition towards accurate distinction of non-specific low back pain patients from healthy controls. Two indicators: Phase Plane Portrait ML and Entropy ML with foam surface condition and both ankle and back vibration on, were able to completely differentiate the non-specific low back pain groups. The proposed methodology can help clinicians quantitatively assess the sensory status of non-specific low back pain patients at the initial phase of diagnosis and throughout treatment. Although the results demonstrated the potential effectiveness of our approach in Low back pain patient distinction, a larger and more diverse population is required for comprehensive validation. |
| first_indexed | 2024-04-13T05:04:02Z |
| format | Article |
| id | doaj.art-e79f5f1e00904b899a9ce1fdde9034cc |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-04-13T05:04:02Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-e79f5f1e00904b899a9ce1fdde9034cc2022-12-22T03:01:14ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852022-12-011010.3389/fbioe.2022.10788051078805Distinction of non-specific low back pain patients with proprioceptive disorders from healthy individuals by linear discriminant analysisSeyed Mohammadreza Shokouhyan0Mehrdad Davoudi1Mehrdad Davoudi2Maryam Hoviattalab3Mohsen Abedi4Soha Bervis5Soha Bervis6Mohamad Parnianpour7Simon Brumagne8Kinda Khalaf9Department of Mechanical Engineering, Sharif University of Technology, Tehran, IranDepartment of Mechanical Engineering, Sharif University of Technology, Tehran, IranClinic for Orthopaedics and Trauma Surgery, Heidelberg University Hospital, Heidelberg, GermanyDepartment of Mechanical Engineering, Sharif University of Technology, Tehran, IranDepartment of Physiotherapy, Faculty of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, IranPhysical Therapy Department, School of Rehabilitation Sciences, Shiraz University of Medical Sciences, Shiraz, IranRehabilitation Sciences Research Center, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Mechanical Engineering, Sharif University of Technology, Tehran, IranDepartment of Rehabilitation Sciences, KU Leuven, Leuven, BelgiumDepartment of Biomedical Engineering, Healthcare Engineering Innovation Center, Khalifa University of Science and Technology, Abu Dhabi, United Arab EmiratesThe central nervous system (CNS) dynamically employs a sophisticated weighting strategy of sensory input, including vision, vestibular and proprioception signals, towards attaining optimal postural control during different conditions. Non-specific low back pain (NSLBP) patients frequently demonstrate postural control deficiencies which are generally attributed to challenges in proprioceptive reweighting, where they often rely on an ankle strategy regardless of postural conditions. Such impairment could lead to potential loss of balance, increased risk of falling, and Low back pain recurrence. In this study, linear and non-linear indicators were extracted from center-of-pressure (COP) and trunk sagittal angle data based on 4 conditions of vibration positioning (vibration on the back, ankle, none or both), 2 surface conditions (foam or rigid), and 2 different groups (healthy and non-specific low back pain patients). Linear discriminant analysis (LDA) was performed on linear and non-linear indicators to identify the best sensory condition towards accurate distinction of non-specific low back pain patients from healthy controls. Two indicators: Phase Plane Portrait ML and Entropy ML with foam surface condition and both ankle and back vibration on, were able to completely differentiate the non-specific low back pain groups. The proposed methodology can help clinicians quantitatively assess the sensory status of non-specific low back pain patients at the initial phase of diagnosis and throughout treatment. Although the results demonstrated the potential effectiveness of our approach in Low back pain patient distinction, a larger and more diverse population is required for comprehensive validation.https://www.frontiersin.org/articles/10.3389/fbioe.2022.1078805/fullnon-specific low back painlinear discriminant analysisCOPposture controlproprioceptive impairment |
| spellingShingle | Seyed Mohammadreza Shokouhyan Mehrdad Davoudi Mehrdad Davoudi Maryam Hoviattalab Mohsen Abedi Soha Bervis Soha Bervis Mohamad Parnianpour Simon Brumagne Kinda Khalaf Distinction of non-specific low back pain patients with proprioceptive disorders from healthy individuals by linear discriminant analysis Frontiers in Bioengineering and Biotechnology non-specific low back pain linear discriminant analysis COP posture control proprioceptive impairment |
| title | Distinction of non-specific low back pain patients with proprioceptive disorders from healthy individuals by linear discriminant analysis |
| title_full | Distinction of non-specific low back pain patients with proprioceptive disorders from healthy individuals by linear discriminant analysis |
| title_fullStr | Distinction of non-specific low back pain patients with proprioceptive disorders from healthy individuals by linear discriminant analysis |
| title_full_unstemmed | Distinction of non-specific low back pain patients with proprioceptive disorders from healthy individuals by linear discriminant analysis |
| title_short | Distinction of non-specific low back pain patients with proprioceptive disorders from healthy individuals by linear discriminant analysis |
| title_sort | distinction of non specific low back pain patients with proprioceptive disorders from healthy individuals by linear discriminant analysis |
| topic | non-specific low back pain linear discriminant analysis COP posture control proprioceptive impairment |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2022.1078805/full |
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