Evidence map›Paper›PMID 36716225›Full record

ArticleACS nano2023

Multichannel Flexible Pulse Perception Array for Intelligent Disease Diagnosis System.

Tiezhu Liu, Guang-Yang Gou, Fupeng Gao, Pan Yao, Haoyu Wu, Yusen Guo, Minghui Yin, Jie Yang, Tiancai Wen, Ming Zhao and 13 more

Abstract read
In one paragraph

Article in ACS nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Anti-Motion Artifacts Iontronic Sensor for Long-Term Accurate Fingertip Pulse Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
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

23 authors.

Tiezhu LiuSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.ORCID 0000-0003-3989-1819
Guang-Yang GouSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.ORCID 0000-0002-1174-203X
Fupeng GaoSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.
Pan YaoSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.
Haoyu WuState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing10029, China.
Yusen GuoSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.
Minghui YinDepartment of Materials and Manufacturing, Beijing University of Technology, Beijing100124, China.
Jie YangTCM Data Center & Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences (CAMS), Beijing100700, China.
Tiancai WenTCM Data Center & Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences (CAMS), Beijing100700, China.
Ming ZhaoDepartment of Neurosurgery, the First Medical Center, Chinese PLA General Hospital, Beijing100853, China.
Tong LiSchool of Modern Post (School of Automation), Beijing University of Posts and Telecommunications, Beijing100876, China.
Gang ChenSchool of Modern Post (School of Automation), Beijing University of Posts and Telecommunications, Beijing100876, China.
Jianhai SunSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.
Tianjun MaSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.
Jianqun ChengSchool of Integrated Circuit, Quanzhou University of Information Engineering, Quanzhou, Fujian362000, China.
Zhimei QiSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.
Jiamin ChenSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.
Junbo WangSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.
Mengdi HanDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing100091, China.
Zhen FangSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.
Yangyang GaoState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing10029, China.ORCID 0000-0003-4503-3351
Chunxiu LiuSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.
Ning XueSchool of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing100049, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pressure sensors with high sensitivity, a wide linear range, and a quick response time are critical for building an intelligent disease diagnosis system that directly detects and recognizes pulse signals for medical and health applications. However, conventional pressure sensors have limited sensitivity and nonideal response ranges. We proposed a multichannel flexible pulse perception array based on polyimide/multiwalled carbon nanotube-polydimethylsiloxane nanocomposite/polyimide (PI/MPN/PI) sandwich-structure pressure sensor that can be applied for remote disease diagnosis. Furthermore, we established a mechanical model at the molecular level and guided the preparation of MPN. At the structural level, we achieved high sensitivity (35.02 kPa

Indexed as

NanocompositesNanotubes, CarbonWearable Electronic DevicesPerceptionNanotubes, Carbonflexible electronicsmachine learning algorithmpiezoresistive pressure sensorpulse detectionsensor array

Identifiers

PMID36716225
PMCPMC10062340

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.