Evidence map›Paper›PMID 40573653›Full record

ArticleSensors (Basel, Switzerland)2025

Design and Experimental Demonstration of an Integrated Sensing and Communication System for Vital Sign Detection.

Chi Zhang, Jinyuan Duan, Shuai Lu, Duojun Zhang, Murat Temiz, Yongwei Zhang, Zhaozong Meng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

7 authors.

Chi ZhangSchool of Transportation and Civil Engineering, Nantong University, Nantong 226019, China.ORCID 0009-0004-1408-8303
Jinyuan DuanSchool of Transportation and Civil Engineering, Nantong University, Nantong 226019, China.
Shuai LuSchool of Transportation and Civil Engineering, Nantong University, Nantong 226019, China.
Duojun ZhangSchool of Transportation and Civil Engineering, Nantong University, Nantong 226019, China.
Murat TemizDepartment of Electronic and Electrical Engineering, University College London, London WC1E 6BT, UK.
Yongwei ZhangSchool of Transportation and Civil Engineering, Nantong University, Nantong 226019, China.ORCID 0000-0001-9201-4511
Zhaozong MengDepartment of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China.ORCID 0000-0002-8159-7173

Funding

Middle East Technical University 11558National Natural Science Foundation of China 62174091National Natural Science Foundation of China 62201294National Natural Science Foundation of China 62361136811Scientific and Technological Research Council of Turkey 123N800
6 · The paper itself

Abstract

The identification of vital signs is becoming increasingly important in various applications, including healthcare monitoring, security, smart homes, and locating entrapped persons after disastrous events, most of which are achieved using continuous-wave radars and ultra-wideband systems. Operating frequency and transmission power are important factors to consider when conducting earthquake search and rescue (SAR) operations in urban regions. Poor communication infrastructure can also impede SAR operations. This study proposes a method for vital sign detection using an integrated sensing and communication (ISAC) system where a unified orthogonal frequency division multiplexing (OFDM) signal was adopted, and it is capable of sensing life signs and carrying out communication simultaneously. An ISAC demonstration system based on software-defined radios (SDRs) was initiated to detect respiratory and heartbeat rates while maintaining communication capability in a typical office environment. The specially designed OFDM signals were transmitted, reflected from a human subject, received, and processed to estimate the micro-Doppler effect induced by the breathing and heartbeat of the human in the environment. According to the results, vital signs, including respiration and heartbeat rates, have been accurately detected by post-processing the reflected OFDM signals with a 1 MHz bandwidth, confirmed with conventional contact-based detection approaches. The potential of dual-function capability of OFDM signals for sensing purposes has been verified. The principle and method developed can be applied in wider ISAC systems for search and rescue purposes while maintaining communication links.

Indexed as

integrated sensing and communicationsmicro-dopplerorthogonal frequency division multiplexingsoftware-defined radiovital signs

Identifiers

PMID40573653
PMCPMC12196612

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.