Evidence map›Paper›PMID 42252376›Full record

ReviewNano-micro letters2026

Polymer-Based Flexible Wireless Sensors for Health Monitoring.

Heyuan Huang, Gang Xue, Jianning Zhan, Yu Yang, Ben Jia, Zhicheng Dong, Zexing Deng, Xin Zhao

Abstract readReview
In one paragraph

Review in Nano-micro letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Heyuan HuangSchool of Aeronautics, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China. huangheyuan@nwpu.edu.cn.
Gang XueSchool of Aeronautics, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.
Jianning ZhanQueen Mary University of London Engineering School, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.
Yu YangSchool of Civil Aviation, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.
Ben JiaSchool of Civil Aviation, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.
Zhicheng DongSchool of Civil Aviation, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.
Zexing DengCollege of Materials Science and Engineering, Xi'an University of Science and Technology, Xi'an, 710054, People's Republic of China.
Xin ZhaoState Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China. zhaoxinbio@mail.xjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymer-based flexible wireless sensors have demonstrated significant potential in health monitoring. However, existing studies have predominantly focused on material design, energy harvesting, and wireless communication, while research addressing signal attenuation, noise accumulation, and data distortion within wireless links remains relatively limited. Physiological signals are highly susceptible to multi-source interference during acquisition and transmission; without effective data processing and intelligent analysis strategies, monitoring outcomes may fail to meet the accuracy and stability requirements of clinical applications. To address this research gap, this review constructs a comprehensive framework encompassing signal sensing, link transmission, and intelligent processing, building on advances in flexible materials and wireless energy supply modes. Special attention is given to the critical roles of channel compensation, noise suppression, feature extraction, lightweight artificial intelligence models, and edge computing in enhancing data quality and reducing energy consumption. Furthermore, the review systematically analyzes the impact of wireless link stability and energy management on monitoring performance. By reinforcing the synergistic mechanisms between data processing and communication, this work aims to provide design principles and development directions for the next generation of high-reliability, low-power, and intelligent wireless flexible health monitoring systems.

Indexed as

Data processingFlexible sensorsIn vivo continuous monitoringLow-power wireless communicationSystem robustness

Identifiers

PMID42252376
PMCPMC13243171

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.