A portable respiratory rate estimation system with a passive single-lead electrocardiogram acquisition module

Nazrul Anuar Nayan, Nur Sabrina Risman, Rosmina Jaafar

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

BACKGROUND: Among vital signs of acutely ill hospital patients, respiratory rate (RR) is a highly accurate predictor of health deterioration. OBJECTIVE: This study proposes a system that consists of a passive and non-invasive single-lead electrocardiogram (ECG) acquisition module and an ECG-derived respiratory (EDR) algorithm in the working prototype of a mobile application. METHOD: Before estimating RR that produces the EDR rate, ECG signals were evaluated based on the signal quality index (SQI). The SQI algorithm was validated quantitatively using the PhysioNet/Computing in Cardiology Challenge 2011 training data set. The RR extraction algorithm was validated by adopting 40 MIT PhysioNet Multiparameter Intelligent Monitoring in Intensive Care II data set. RESULTS: The estimated RR showed a mean absolute error (MAE) of 1.4 compared with the "gold standard" RR. The proposed system was used to record 20 ECGs of healthy subjects and obtained the estimated RR with MAE of 0.7 bpm. CONCLUSION: Results indicate that the proposed hardware and algorithm could replace the manual counting method, uncomfortable nasal airflow sensor, chest band, and impedance pneumotachography often used in hospitals. The system also takes advantage of the prevalence of smartphone usage and increase the monitoring frequency of the current ECG of patients with critical illnesses.

Original languageEnglish
Pages (from-to)591-597
Number of pages7
JournalTechnology and Health Care
Volume24
Issue number4
DOIs
Publication statusPublished - 2016

Fingerprint

Respiratory Rate
Electrocardiography
Lead
Cardiology
Mobile Applications
Monitoring
Smartphones
Vital Signs
Critical Care
Deterioration
Electric Impedance
Nose
Critical Illness
Health
Healthy Volunteers
Thorax
Hardware
Sensors

Keywords

  • Algorithm
  • E-health system
  • Mobile applications
  • Respiratory rate
  • Single-lead ECG

ASJC Scopus subject areas

  • Biophysics
  • Bioengineering
  • Information Systems
  • Biomaterials
  • Biomedical Engineering
  • Health Informatics

Cite this

A portable respiratory rate estimation system with a passive single-lead electrocardiogram acquisition module. / Nayan, Nazrul Anuar; Risman, Nur Sabrina; Jaafar, Rosmina.

In: Technology and Health Care, Vol. 24, No. 4, 2016, p. 591-597.

Research output: Contribution to journalArticle

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