Presented in this paper are the analysis and the results of our body area network (BAN) for the detection and classification of obstructive sleep apnea. Our algorithm is based on a low-order Daubechies D4 and D6 hybrid filter. Feature extractions are taken from the QT intervals of the Electrocardiography (ECG) waveform. These features include a QT-ECG-derived respiratory rate (QT-EDR) and the i...

The use of wireless body area networks (WBAN) has been seen as a modern way to monitor human’s health related parameters remotely and seamlessly. The WBAN is utilizing energy efficient sensor nodes distributed around the human body and a coordinator node that controls the personal network’s operation. WBANs are utilizing shortrange radio technologies to convey vital sign information from the so...

Wireless body area network (WBAN) is a prominent technology for resolving health-care concerns and providing high-speed continuous monitoring real-time help. Human communication (HBC) an IEEE 802.15.6 physical layer standard short-range communications that not reliant on radio frequency (RF). Most WBAN applications can benefit from the HBC's low-latency low-power architectural features. In this...

Body area networks is one of the types of wireless area networks which has been created to optimize utilizing hospital resources and for earlier diagnosis of medical symptoms, and ultimately to reduce the cost of medical care. This network like most of the wireless networks is without infrastructure and the embedded sensor nodes in the body have limited energy. Hence, the early power completion...

Recent technical developments in wi-fi networking, microelectronic integration and programming, sensors the Internet have enabled us to create enforce a range of new framework schemes fulfil necessities healthcare-related wireless body area network (WBAN). WBAN continually screen measure patients’ indispensable signs symptoms, relay them scientific monitoring for diagnosis. has applications, mo...