Application of Nanogenerators in Lumbar Motion Monitoring: Fundamentals, Current Status, and Perspectives Article Swipe
Yudong Zhao
,
Hongbin He
,
Jincheng Tong
,
Tianchang Wang
,
Shini Wang
,
Zhuoran Sun
,
Weishi Li
,
Siyu Zhou
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/diagnostics15202657
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/diagnostics15202657
Nanogenerators (NGs), especially triboelectric nanogenerators (TENGs), represent an emerging technology with great potential for self-powered lumbar motion monitoring. Conventional wearable systems for assessing spinal kinematics are often limited by their reliance on external power supplies, hindering long-term and real-time clinical applications. NGs can convert biomechanical energy from lumbar motion into electrical energy, providing both sensing and power-generation capabilities in a single platform. This review summarizes the fundamental working mechanisms, device architectures, and current progress of NG-based motion monitoring technologies, with a particular focus on their applications in lumbar spine research and clinical rehabilitation. By enabling high-sensitivity, continuous, and battery-free monitoring, NG-based systems may enhance the diagnosis and management of low back pain (LBP) and postoperative recovery assessment. Furthermore, the integration of NGs with wearable electronics, the Internet of Things (IoT), and artificial intelligence (AI) holds promise for developing intelligent, self-sustaining monitoring platforms that bridge biomedical engineering and spine medicine.
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- https://www.mdpi.com/2075-4418/15/20/2657/pdf?version=1761045570
- OA Status
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- 63
- OpenAlex ID
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- Title
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Application of Nanogenerators in Lumbar Motion Monitoring: Fundamentals, Current Status, and PerspectivesWork title
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- Language
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enPrimary language
- Publication year
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2025Year of publication
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2025-10-21Full publication date if available
- Authors
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Yudong Zhao, Hongbin He, Jincheng Tong, Tianchang Wang, Shini Wang, Zhuoran Sun, Weishi Li, Siyu ZhouList of authors in order
- Landing page
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https://doi.org/10.3390/diagnostics15202657Publisher landing page
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2075-4418/15/20/2657/pdf?version=1761045570Direct OA link when available
- Cited by
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0Total citation count in OpenAlex
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63Number of works referenced by this work
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