Evidence map›Paper›PMID 41153329›Full record

ReviewDiagnostics (Basel, Switzerland)2025

Application of Nanogenerators in Lumbar Motion Monitoring: Fundamentals, Current Status, and Perspectives.

Yudong Zhao, Hongbin He, Junhao Tong, Tianchang Wang, Shini Wang, Zhuoran Sun, Weishi Li, Siyu Zhou

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yudong ZhaoOrthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing 100191, China.
Hongbin HeOrthopedic Department, Peking University Third Hospital, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China.
Junhao TongOrthopedic Department, Peking University Third Hospital, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China.
Tianchang WangOrthopedic Department, Peking University Third Hospital, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China.
Shini WangOrthopedic Department, Peking University Third Hospital, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China.
Zhuoran SunOrthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing 100191, China.
Weishi LiOrthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing 100191, China.ORCID 0000-0001-9512-5436
Siyu ZhouOrthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing 100191, China.ORCID 0000-0002-2427-6242

Funding

the Key Clinical Projects of the hospital BYSYZD2023048the National Key Research and Development Program of China 2023YFC3604400the National Natural Science Foundation of China 82302739
6 · The paper itself

Abstract

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.

Indexed as

low back painlumbarmotion monitoringnanogenerators

Identifiers

PMID41153329
PMCPMC12564619

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.