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Respiratory disorder is a highly prevalent condition associated with many adverse health problems. As the current means of diagnosis are obtrusive and ill-suited for real-time m-health applications, we explore a convenient and low-cost automatic approach that uses wearable microelectromechanical system sensor technology. The proposed system introduces the use of motion sensors to detect the changes...
Automated methods of real-time and un-obstructive patient's respiration and position monitoring have been subjects of interests in e-health applications. The present study implements a low-cost and convenient monitoring system for patients with breathing problems or sleep disorders. We have also captured the Rib Cage (RC) and Abdomen (AB) movements using accelerometer sensors. In addition to measurement...
Debugging of embedded wireless systems is a challenge as the amount of information available from the nodes is limited. To enable system-level debugging of wireless networks, we have devised a distributed assertion support based on SystemVerilog Assertions (SVA). In this work, we have modeled wireless sensors at the transaction level in SystemVerilog. The proposed approach indicates that the assertions...
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