Design of ECG Sensor Interface for Biosignal Extraction
Johevajile Mazima1, Michael Kisangiri2, Dina Machuve3
1Johevajile KN Mazima, Department of Computational and Communication Science and Engineering, Nelson Mandela African Institute of Science and Technology, Arusha Tanzania.
2Dr. Michael Kisangiri, Department of Computational and Communication Science and Engineering, Nelson Mandela African Institute of Science and Technology, Arusha Tanzania.
3Dina Machuve, Department of Computational and Communication Science and Engineering, Nelson Mandela African Institute of Science and Technology, Arusha Tanzania.
Manuscript received on 8 August 2013 | Revised Manuscript received on 18 August 2013 | Manuscript Published on 30 August 2013 | PP: 146-148 | Volume-3 Issue-3, August 2013 | Retrieval Number: C1121083313/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The main objective of this paper is to propose the design of a sensor interface for gathering biosignal. This signal is acquired from the patient’s body by the ECG sensor. The interface includes the instrumentation amplifier, bandpass filter, notch filter and the gain amplifier for improving the weak signal captured from the human body. The interface designed is intended to be used in supporting remote monitoring devices for the patients living in areas with limited access to medical assistance or scarce clinical resources especially in rural areas. The patient monitoring systems are expected to use the GSM/GPRS network directly through GSM/GPRS modem instead of using additional devices like Personal Digital Assistant (PDA). Since, the network is currently available in remote area for access. The design is helpful to improve people’s quality of life, as well as to allow an improvement in the government attendance indices.
Keywords: Band Pass Filter, Bio signal, Electrocardiography, ECG Sensor, Notch Filter.
Scope of the Article: Distributed Sensor Networks