A Heart Monitoring System for a Mobile Device

  • Authors:

  • Duck Hee Lee;Ahmed Fazle Rabbi;Noah Root;Reza Fazel-Rezai;Jaesoon Choi;Pablo de León;Joshua Wynne

  • Affiliations:

  • Department of Electrical Engineering, University of North Dakota, Grand Forks, ND, USA;Department of Electrical Engineering, University of North Dakota, Grand Forks, ND, USA;Department of Electrical Engineering, University of North Dakota, Grand Forks, ND, USA;Department of Electrical Engineering, University of North Dakota, Grand Forks, ND, USA;Korea Artificial Organ Center, Korea University Hospital, Korea University, Seoul, Korea;John D. Odegard School of Aerospace Sciences, University of North Dakota, Grand Forks, ND, USA;School of Medicine & Health Sciences, University of North Dakota, Grand Forks, ND, USA

  • Venue:
  • International Journal of Handheld Computing Research
  • Year:
  • 2012

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Abstract

There have been major advances in research and development of devices for the diagnosis of patients in the medical field. A light and portable wireless system to monitor human physiological signals has been always a medical personnel's dream. An e-health monitoring system is a widely used noninvasive diagnosis tool for an ambulatory patient who may be at risk from latent life threatening cardiac abnormalities. The authors proposed a high performance and intelligent wireless measuring e-health monitoring system for a mobile device that is characterized by the small sized and low power consumption. The hardware system consists of an one-chip microcontroller Atmega 128L, a wireless module, and electrocardigram ECG signal preprocessing including filtering, power noise canceling, and level shifting. The software utilizes a recursive filter and preprocessing algorithm to detect ECG signal parameters, i.e., QRS-complex, Q-R-T points, HR, and QT-interval. To easily interface with a mobile device, an analyzer program operates on a Windows mobile OS. This paper described the system that was developed and successfully tested for a wireless transmission of ECG signals to a mobile device.