title: Android based self-diagnostic electrocardiogram system for mobile healthcare.
abstract: BACKGROUND
  Cardiovascular diseases are the most common cause of death worldwide and are characterized by arrhythmia (i.e. irregular rhythm of heartbeat). Arrhythmia occasionally happens under certain conditions, such as stress. Therefore, it is difficult to be diagnosed using electrocardiogram (ECG) devices available in hospitals for just a few minutes. Constant diagnosis and monitoring of heartbeat is required to reduce death caused by cardiovascular diseases.
  
  
  OBJECTIVE
  Mobile healthcare system has emerged as a potential solution to assist patients in monitoring their own heart condition, especially those who are isolated from the reference hospital. This paper proposes a self-diagnostic electrocardiogram system for mobile healthcare that has the capability to perform a real-time ECG diagnostic.
  
  
  METHODS
  The self-diagnostic capability of a real-time ECG signal is achieved by implementing a detrended fluctuation analysis (DFA) method. The result obtained from DFA is used to display the patient's health condition on a smartphone anytime and anywhere. If the health condition is critical, the system will alert the patient and his medical practitioner for further diagnosis.
  
  
  RESULTS
  Experimental results verified the validity of the developed ECG diagnostic application on a smartphone.
  
  
  CONCLUSIONS
  The proposed system can potentially reduce death caused by cardiovascular diseases by alerting the patient possibly undergoing a heart attack.
authors.forename: Kan-Yeep
authors.initials: KY
authors.lastname: Choo
authors.forename: Huo-Chong
authors.initials: HC
authors.lastname: Ling
authors.forename: Yew-Chiong
authors.initials: YC
authors.lastname: Lo
authors.forename: Zuo-Han
authors.initials: ZH
authors.lastname: Yap
authors.forename: Jun-Sheng
authors.initials: JS
authors.lastname: Pua
authors.forename: Raphael C-W
authors.initials: RC
authors.lastname: Phan
authors.forename: Vik-Tor
authors.initials: VT
authors.lastname: Goh
mesh_terms: D015716:Electrocardiography, Ambulatory / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D000068997:Smartphone; D017216:Telemedicine / Q000379:methods*
keywords: Detrended fluctuation analysis; android smartphone; electrocardiogram; mobile healthcare; self-diagnostic