Title :
Packet loss mitigation for biomedical signals in healthcare telemetry
Author :
Garudadri, Harinath ; Baheti, Pawan K.
Author_Institution :
Qualcomm Inc., San Diego, CA, USA
Abstract :
In this work, we propose an effective application layer solution for packet loss mitigation in the context of Body Sensor Networks (BSN) and healthcare telemetry. Packet losses occur due to many reasons including excessive path loss, interference from other wireless systems, handoffs, congestion, system loading, etc. A call for action is in order, as packet losses can have extremely adverse impact on many healthcare applications relying on BAN and WAN technologies. Our approach for packet loss mitigation is based on Compressed Sensing (CS), an emerging signal processing concept, wherein significantly fewer sensor measurements than that suggested by Shannon/Nyquist sampling theorem can be used to recover signals with arbitrarily fine resolution. We present simulation results demonstrating graceful degradation of performance with increasing packet loss rate. We also compare the proposed approach with retransmissions. The CS based packet loss mitigation approach was found to maintain up to 99% beat-detection accuracy at packet loss rates of 20%, with a constant latency of less than 2.5 seconds.
Keywords :
biomedical telemetry; body area networks; health care; information theory; medical signal processing; signal sampling; wireless sensor networks; BAN; Nyquist sampling theorem; Shannon theorem; WAN; biomedical signal; body sensor networks; compressed sensing; healthcare telemetry; packet loss mitigation; sensor measurement; signal processing; Algorithms; Computer Communication Networks; Computer Simulation; Electrocardiography; Humans; Medical Informatics; Models, Statistical; Models, Theoretical; Monitoring, Ambulatory; Reproducibility of Results; Signal Processing, Computer-Assisted; Software; Telemedicine; Telemetry; Transducers;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5333969