Privacy-preserving electrocardiogram monitoring for intelligent arrhythmia detection

Junggab Son, Juyoung Park, Heekuck Oh, Md Zakirul Alam Bhuiyan, Junbeom Hur, Kyungtae Kang

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Long-term electrocardiogram (ECG) monitoring, as a representative application of cyber-physical systems, facilitates the early detection of arrhythmia. A considerable number of previous studies has explored monitoring techniques and the automated analysis of sensing data. However, ensuring patient privacy or confidentiality has not been a primary concern in ECG monitoring. First, we propose an intelligent heart monitoring system, which involves a patient-worn ECG sensor (e.g., a smartphone) and a remote monitoring station, as well as a decision support server that interconnects these components. The decision support server analyzes the heart activity, using the Pan-Tompkins algorithm to detect heartbeats and a decision tree to classify them. Our system protects sensing data and user privacy, which is an essential attribute of dependability, by adopting signal scrambling and anonymous identity schemes. We also employ a public key cryptosystem to enable secure communication between the entities. Simulations using data from the MIT-BIH arrhythmia database demonstrate that our system achieves a 95.74% success rate in heartbeat detection and almost a 96.63% accuracy in heartbeat classification, while successfully preserving privacy and securing communications among the involved entities.

Original languageEnglish
Article number1360
JournalSensors (Switzerland)
Volume17
Issue number6
DOIs
Publication statusPublished - 2017 Jun 12

Fingerprint

arrhythmia
electrocardiography
privacy
Privacy
Electrocardiography
preserving
Cardiac Arrhythmias
Monitoring
Communication
Decision Trees
Confidentiality
communication
Servers
data simulation
Databases
Smartphones
Decision trees
stations
Cryptography
sensors

Keywords

  • Arrhythmia detection
  • Biomedical computing
  • Body sensor networks
  • Communication system security
  • Electrocardiography
  • Privacy of patients

ASJC Scopus subject areas

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Privacy-preserving electrocardiogram monitoring for intelligent arrhythmia detection. / Son, Junggab; Park, Juyoung; Oh, Heekuck; Bhuiyan, Md Zakirul Alam; Hur, Junbeom; Kang, Kyungtae.

In: Sensors (Switzerland), Vol. 17, No. 6, 1360, 12.06.2017.

Research output: Contribution to journalArticle

Son, Junggab ; Park, Juyoung ; Oh, Heekuck ; Bhuiyan, Md Zakirul Alam ; Hur, Junbeom ; Kang, Kyungtae. / Privacy-preserving electrocardiogram monitoring for intelligent arrhythmia detection. In: Sensors (Switzerland). 2017 ; Vol. 17, No. 6.
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