Evidence map›Paper›PMID 42181254›Full record

ArticleiScience2026

A high-power plantar energy harvester with LSTM-KAN adaptive damping control.

Pengfei Wu, Jingyuan Liu, Wei Chen, Xiaoguang Song, Mengjiao Yuan, Shuo Qian, Jianfeng Cui, Xiaojuan Hou, Jian He, Xiujian Chou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2026. 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

10 authors.

Pengfei WuState Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan 030051, China.
Jingyuan LiuState Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan 030051, China.
Wei ChenState Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan 030051, China.
Xiaoguang SongState Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan 030051, China.
Mengjiao YuanState Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan 030051, China.
Shuo QianSchool of Software, North University of China, Taiyuan 030051, China.
Jianfeng CuiSchool of Electrical and Control Engineering, North University of China, Taiyuan 030051, China.
Xiaojuan HouState Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan 030051, China.
Jian HeState Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan 030051, China.
Xiujian ChouState Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan 030051, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plantar energy harvesters demonstrate significant potential for continuously powering portable electronic devices. However, low output power and poor wearing comfort remain critical challenges hindering the practical deployment of plantar energy harvesters. To effectively address the aforementioned issues, this paper proposes a novel adaptive damping high-power plantar energy harvesting (DPEH) system. A bidirectionally extensible cross-beam array structure is designed, combined with pulley block-belt composite transmission system. It achieves a 17.6-fold stroke amplification, improving the power output of the DPEH significantly. Furthermore, a hybrid long short-term memory-Kolmogorov-Arnold network (LSTM-KAN) framework was developed to dynamically identify movement speeds during walking and running, achieving an accuracy rate of 99.84%. Real-Time control of DPEH electromagnetic damping via STM32 microcontroller, optimizing comfort-power tradeoffs. Experimental results demonstrate that ergonomic comfort improved by 12%. A 75 kg tester wearing the DPEH generated a peak power of 20.81 W and an average power of 2.75 W while running at 7 km/h. This strategy constitutes a new paradigm for self-regulating human-machine collaborative energy systems.

Indexed as

Applied sciencesEnergy engineeringEnergy storage

Identifiers

PMID42181254
PMCPMC13196104

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.