Wearable Flexible Sensors for Spinal Motion Monitoring

NCT ID: NCT06974721

Last Updated: 2025-05-16

Basic Information

• Recruitment Status: NOT_YET_RECRUITING
• Total Enrollment: 20 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2025-06-01
• Study Completion Date: 2027-12-01

Brief Summary

With the deepening of societal aging, degenerative spinal diseases have become increasingly prevalent in China and are one of the leading causes of disability among middle-aged and elderly populations. Current musculoskeletal assessment methods primarily focus on imaging rather than functional evaluation, and emphasize static over dynamic analysis, failing to capture the daily functional state of the musculoskeletal system. This limitation hinders a deeper understanding of functional patterns and their role in the progression of degenerative spinal diseases. Therefore, there is an urgent need to develop precise and dynamic functional assessment methods that overcome the constraints of time and space in measurement. This project adopts a dynamic perspective of the musculoskeletal system, developing a wearable monitoring approach based on flexible sensors to assess limb and spinal motion. The method will be validated against traditional imaging techniques such as X-ray and ultrasound, laying the foundation for investigating the pathogenesis of degenerative spinal diseases. This research aligns with China's strategic initiatives and practical needs in addressing the challenges of an aging population.

Conditions

Spine Disease

Study Design

• Observational Model Type: CASE_ONLY
• Study Time Perspective: CROSS_SECTIONAL

Eligibility Criteria

Inclusion Criteria

1. Clinical diagnosis of Spinal Cord Injury

2. Clinical diagnosis of cervical spondylotic myelopathy with Impaired Hand Function

3. Clinical diagnosis of Kyphosis

4. Clinical diagnosis of Spinal Imbalance

5. Clinical diagnosis of Scoliosis Patients

6. Clinical diagnosis of Lumbar Spondylolisthesis Patients

Exclusion Criteria

1. Obesity (BMI>30)

2. Inability to complete functional assessments due to physical condition or other reasons;

3. Comorbid neuromuscular disorders

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Xi'an Jiaotong University

OTHER

Sponsor Role: collaborator

Peking University Third Hospital

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Central Contacts

Weishi Li

Role: CONTACT

hangengyu@pku.edu.cn

+8615701206146

References

Wang Y, Zheng L, Yang J, Wang S. A Grip Strength Estimation Method Using a Novel Flexible Sensor under Different Wrist Angles. Sensors (Basel). 2022 Mar 4;22(5):2002. doi: 10.3390/s22052002.

Reference Type: BACKGROUND

PMID: 35271152 (View on PubMed)

Han G, Zhou S, Wang W, Li W, Qiu W, Li X, Fan X, Li W. Correlations between paraspinal extensor muscle endurance and clinical outcomes in preoperative LSS patients and clinical value of an endurance classification. J Orthop Translat. 2022 Sep 20;35:81-86. doi: 10.1016/j.jot.2022.08.005. eCollection 2022 Jul.

Reference Type: BACKGROUND

PMID: 36196076 (View on PubMed)

Li Z, Zhang S, Chen Y, Ling H, Zhao L, Luo G, Wang X, Hartel MC, Liu H, Xue Y, Haghniaz R, Lee K, Sun W, Kim H, Lee J, Zhao Y, Zhao Y, Emaminejad S, Ahadian S, Ashammakhi N, Dokmeci MR, Jiang Z, Khademhosseini A. Gelatin methacryloyl-based tactile sensors for medical wearables. Adv Funct Mater. 2020 Dec 1;30(49):2003601. doi: 10.1002/adfm.202003601. Epub 2020 Sep 6.

Reference Type: BACKGROUND

PMID: 34366759 (View on PubMed)

Hodges PW, Bailey JF, Fortin M, Battie MC. Paraspinal muscle imaging measurements for common spinal disorders: review and consensus-based recommendations from the ISSLS degenerative spinal phenotypes group. Eur Spine J. 2021 Dec;30(12):3428-3441. doi: 10.1007/s00586-021-06990-2. Epub 2021 Sep 20.

Reference Type: BACKGROUND

PMID: 34542672 (View on PubMed)

Other Identifiers

PekingUTH20250325

Identifier Type: -

Identifier Source: org_study_id