Evidence map›Paper›PMID 42740262›Full record

ReviewSensors (Basel, Switzerland)2026

Hydrogel-Based Mechanical Sensors for Sleep Respiratory Monitoring: Recent Advances and Future Perspectives.

Yuanfeng Sun, Liangchao Li, Yuan Shi, Jian Jiao, Taomei Li, Xiangdong Tang, Yihao Long, Liang He, Lan Zhang

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 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

9 authors.

Yuanfeng SunSleep Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Liangchao LiSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Yuan ShiSleep Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Jian JiaoSleep Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Taomei LiSleep Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0002-5534-333X
Xiangdong TangSleep Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Yihao LongSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.ORCID 0000-0002-2820-7973
Liang HeSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.ORCID 0000-0002-7402-9194
Lan ZhangMental Health Center, West China Hospital, Sichuan University, Chengdu 610041, China.

Funding

National Key R&D Program of China 2022YFC2503900
6 · The paper itself

Abstract

Sleep respiratory monitoring plays a crucial role in the early diagnosis and health management of sleep-related respiratory disorders. However, conventional monitoring devices often suffer from some critical issues, such as poor wearing comfort and insufficient capability for long-term continuous monitoring, hindering their applications in non-invasive and prolonged sleep monitoring. In recent years, hydrogel-based mechanical sensors have attracted increasing attention for sleep respiratory monitoring owing to their outstanding flexibility, biocompatibility, mechanical compatibility with biological tissues, and excellent sensing performance, demonstrating great potential for practical applications. A comprehensive overview of recent advances in hydrogel-based mechanical sensors for sleep-related respiratory monitoring is provided in this review. The sensing mechanisms, materials, fabrication strategies, and representative applications are systematically summarized, with particular emphasis on the key factors governing sensor performance and their translation toward practical use. Furthermore, current challenges and corresponding optimization strategies are discussed. This review aims to provide valuable insights into the rational design and optimization of high-performance hydrogel-based mechanical sensors, and important strategies for the further development of advanced technologies for sleep-related respiratory monitoring.

Indexed as

Biosensing TechniquesHydrogelsSleepHumansMonitoring, PhysiologicRespirationHydrogelshydrogel-based compositeshydrogel-based mechanical sensorssleep respiratory

Identifiers

PMID42740262
PMCPMC13568390

What OpenQuestion holds

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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.