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Breathing is an involuntary action by the human body, and irregularities in breathing suggests possible respiratory disorders. Respiratory rate is an important parameter for breath sound analysis, and many papers have been published on how respiratory rate can be measured accurately and non-invasively. However, relatively fewer papers deal with breath sound based respiratory rate estimation. This...
The respiratory rate is a vital sign that can provide important information about the health of a patient, especially that of the respiratory system. The aim of this study is to develop a simple method that can be applied in wearable systems to monitor the respiratory rate automatically and continuously over extended periods of time. In this paper, a novel respiratory rate estimation method is presented...
The location estimation of sensor nodes is a fundamental and essential issue for wireless sensor networks (WSNs), because the gathered data is meaningful only when the location information of the sensor nodes is known. In this paper, we proposed a novel localization algorithm. In the proposed scheme, we first estimate the location of sensor nodes using Convex Position Estimation (CPE), and then refine...
Localization is an important problem in wireless sensor networks (WSNs), since location information is widely requested in various location-dependent applications. As one of the range-free localization algorithm DV-Hop, a well known localization algorithm, can be simply implement in real WSNs. To improve the accuracy of localization, this paper proposes an improved DV-Hop algorithm. The proposed algorithm...
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