Turbo codes for telemedicine applications

Abstract

Telemedicine is an emerging technology in the area of remote medical services. It involves real-time communication between patients and healthcare providers through electronic equipment for diagnosing diseases. Biomedical signal processing is the process of measurement and analysis to deliver required information for doctors to make decisions. The identification of diseases is made upon collecting the biomedical signals from the patient’s body. Telemedicine concepts can be employed for this method. For remote diagnosis purposes, as the biomedical signal needs to transmitted through wireless media there is a need for efficiently coding them. In this paper, turbo coding is used and is transmitted through the AWGN channel. The performance of BER for different turbo decoding algorithms are compared to obtain error free transmission.

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“…The SOVA decoding algorithm works better when the Mean Square Difference between the MAP algorithm and the SOVA algorithm is less. The MAP algorithm has the possibility of efficient hardware implementation whereas a modified SOVA enables efficient hardware implementation due to less parallelization and for the same data throughput [13].…”