Evidence map›Paper›PMID 37607132›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Health Monitoring via Heart, Breath, and Korotkoff Sounds by Wearable Piezoelectret Patches.

Liuyang Han, Weijin Liang, Qisen Xie, JingJing Zhao, Ying Dong, Xiaohao Wang, Liwei Lin

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
12.9field-weighted citation impact, top 1% of its field
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

13 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Review
  3. AI-Enhanced Vibrational Capsule for Minimally Invasive Detection of Abnormal Bowel Tissue.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Review
  6. Localized Sound-Integrated Display Speaker Using Crosstalk-Free Piezoelectric Vibration Array.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. Article
  9. Emerging Wearable Acoustic Sensing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Health Monitoring via Heart, Breath, and Korotkoff Sounds by Wearable Piezoelectret Patches.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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

7 authors at 2 institutions in 2 countries.

Liuyang HanTsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.ORCID 0000-0001-5966-6104
Weijin LiangTsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.
Qisen XieTsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.
JingJing ZhaoTsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.
Ying DongTsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.ORCID 0000-0002-6413-8653
Xiaohao WangTsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.
Liwei LinDepartment of mechanical engineering, University of California, Berkeley, Berkeley, USA.
University Town of Shenzhen · CNUniversity of California, Berkeley · US

Funding

National Natural Science Foundation of China 61971262Shenzhen Fundamental Research Program JCYJ20220818101005011
6 · The paper itself

Abstract

Real-time monitoring of vital sounds from cardiovascular and respiratory systems via wearable devices together with modern data analysis schemes have the potential to reveal a variety of health conditions. Here, a flexible piezoelectret sensing system is developed to examine audio physiological signals in an unobtrusive manner, including heart, Korotkoff, and breath sounds. A customized electromagnetic shielding structure is designed for precision and high-fidelity measurements and several unique physiological sound patterns related to clinical applications are collected and analyzed. At the left chest location for the heart sounds, the S1 and S2 segments related to cardiac systole and diastole conditions, respectively, are successfully extracted and analyzed with good consistency from those of a commercial medical device. At the upper arm location, recorded Korotkoff sounds are used to characterize the systolic and diastolic blood pressure without a doctor or prior calibration. An Omron blood pressure monitor is used to validate these results. The breath sound detections from the lung/ trachea region are achieved a signal-to-noise ration comparable to those of a medical recorder, BIOPAC, with pattern classification capabilities for the diagnosis of viable respiratory diseases. Finally, a 6×6 sensor array is used to record heart sounds at different locations of the chest area simultaneously, including the Aortic, Pulmonic, Erb's point, Tricuspid, and Mitral regions in the form of mixed data resulting from the physiological activities of four heart valves. These signals are then separated by the independent component analysis algorithm and individual heart sound components from specific heart valves can reveal their instantaneous behaviors for the accurate diagnosis of heart diseases. The combination of these demonstrations illustrate a new class of wearable healthcare detection system for potentially advanced diagnostic schemes.

Indexed as

Heart SoundsRespiratory SoundsWearable Electronic DevicesHumansMaleMonitoring, PhysiologicSignal Processing, Computer-Assistedaudio physiological signalsblood pressure measurementbreath sounds classificationcomponent separationpiezoelectret sensorwearable systems

Identifiers

PMID37607132
PMCPMC10558643
OpenAlexW4386020782

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.