Network Coding for Fault-Tolerant Transmission of Biomedical Data

This paper introduces a novel approach to enhance fault-tolerance in biomedical data transmission using network coding methods. In healthcare, even minor data loss or delays can have severe consequences, especially during remote medical procedures or emergencies. Traditional error correction methods struggle with adverse network conditions, leading to extended transmission times and data loss. Network coding encodes data packets so the original data can be reconstructed even when some packets are corrupted or lost, reducing the need for retransmissions. Simulations show a 20% improvement in fault tolerance over conventional techniques. The approach is scalable, handling diverse biomedical data, from vital signs to complex signals like ECG and EEG, ensuring reliable transmission in various network conditions. This method offers an efficient, robust solution for real-time biomedical data transmission, addressing existing limitations and advancing healthcare technology.