Loss Recovery for Mobile Healthcare Applications

The current healthcare systems, structured for reacting to crisis and managing illness are facing new challenges. Traditionally, healthcare services are provided by using wired networks such as telephones, and DSL or cable-modem-based broadband access systems to transmit biomedical data between a hospital and the point of care. However, these fixed systems have limitations in providing services to patients in remote localities and when the patients are mobile. Therefore, mobile healthcare services with applications in emergency healthcare have become popular to provide prompt and effective patient care. Wireless transmission of medical signals has high error rates. The bio –medical signals, where every second of data could mean abnormal patterns, cannot tolerate such losses. One of the solutions to overcome such losses Compressed Sensing (CS), an emerging signal processing technique that is used to recover the losses that occurs in the healthcare networks. CS enables the reconstruction of the signals if any data are omitted at the sender or dropped by the communication channel. Computer simulation results demonstrate that the proposed scheme may serve as an efficient procedure to recover the data loss that occurs in mobile health care applications.