Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
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Conf Proc IEEE Eng Med Biol Soc · Jan 2008
Automatic home care system for monitoring HR/RR during sleep.
This paper described an automatic home care system for monitoring HR/RR during sleep. Pressure signal is measured with a completely unconstrained pressure sensor beneath a pillow; then the signal is digitalized and the data are transmitted to a remote server using TCP/IP via a netbox. The data are processed and analyzed with a wavelet-based algorithm to obtain the heart rate and respiration rhythm during sleep. Through analyzing 180 days' data obtained from a female subject, it was found that this system can be used for daily monitoring heart rate and respiration rhythm during sleep and evaluating the quality of sleep at home.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2008
Usefulness of monitoring congestive heart failure by multiple impedance vectors.
We investigated trends in intrathoracic impedance measured between multiple implanted electrodes for monitoring pulmonary edema secondary to congestive heart failure (CHF) in an experimental model. ⋯ All impedance vectors decreased during CHF. Impedance measurement employing left heart sensors correlated well wit- - h LA pressure, and may improve detection of CHF onset compared to sensing by RA or RV leads alone. This approach has important clinical implications for managing heart failure patients in the ambulatory setting.
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Low bandwidth has long been a reason for the unsuitability of wireless internet in telemedicine. However with the advent of extended third generation wireless as an economically accessible high speed network, more opportunities are being created in this area of telemedicine. This paper explores the opportunity created by the latest wireless broadband technology for remote monitoring of patients in the home.
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Listening and interpreting lung sounds by a stethoscope had been an important component of screening and diagnosing lung diseases. However this practice has always been vulnerable to poor audibility, inter-observer variations (between different physicians) and poor reproducibility. ⋯ The proposed algorithm integrates and analyses the set of parameters based on ATS (American Thoracic Society) definition of wheezes. It is very robust, computationally simple and yielded sensitivity of 84% and specificity of 86%.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2008
Exploiting the existence of temporal heart-rate patterns for the detection of trauma-induced hemorrhage.
Unattended hemorrhage is a major source of mortality in trauma casualties. In this study, we explore a set of prehospital heart rate (HR) time-series data collected from 358 civilian casualties to examine whether temporal HR patterns can be used for automated hemorrhage identification. Continuous and reliable HR time series are fragmented into overlapping segments of 128 s, with a 118-s overlap between each two neighboring segments, which are projected into a wavelet coefficient space using the Haar wavelet function. ⋯ The clustering algorithm identifies 162 HR patterns. The most frequent pattern is observed in 11 (23%) hemorrhage and 16 (5%) control patients, which is a significant association (p<0.05, chi-square test). When the top 10 patterns are combined for hemorrhage detection, their sensitivity and specificity are 0.68 and 0.79, respectively, and when the top 20 patterns are used sensitivity increases to 0.77 and specificity decreases to 0.71.