Journal of clinical monitoring and computing
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J Clin Monit Comput · Apr 2014
FaceTime(®) for teaching ultrasound-guided anesthetic procedures in remote place.
In isolated area in Japan, only one anesthesiologist must often do new anesthetic techniques such as ultrasound-guided procedures without receiving any teaching. One solution to this problem may involve teleanesthesia, by which experienced anesthesiologists teach novices in remote places, by utilizing information communication technologies. FaceTime™ (Apple, USA), which provides 120p of the resolution and 30 frames per second (fps) is an application of free visual communications using iPod Touch™, iPhone™ or iPad™ (Apple, USA). ⋯ The delay time of iPhone5 was significantly longer than the others (iPod Touch; 0.14 ± 0.02 s, iPhone4; 0.13 ± 0.02 s, iPhone5; 0.19 ± 0.03 s), but clinically acceptable. The loss of the frames of iPhone5 (20; 1.1%) was significantly less than the others (iPhone4; 900, 50.0%, iPod Touch; 902, 50.1%). To teach anesthetic techniques in remote place by FaceTime, iPhone5 as the devise in isolate site was optimum compared with iPod Touch and iPhone4.
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J Clin Monit Comput · Apr 2014
Reliable real-time calculation of heart-rate complexity in critically ill patients using multiple noisy waveform sources.
Heart-rate complexity (HRC) has been proposed as a new vital sign for critical care medicine. The purpose of this research was to develop a reliable method for determining HRC continuously in real time in critically ill patients using multiple waveform channels that also compensates for noisy and unreliable data. Using simultaneously acquired electrocardiogram (Leads I, II, V) and arterial blood pressure waveforms sampled at 360 Hz from 250 patients (over 375 h of patient data), we evaluated a new data fusion framework for computing HRC in real time. ⋯ Furthermore, the fusion of waveform sources produced better error density distributions than those derived from individual waveforms. The data fusion framework was shown to provide in real-time a reliable continuously streamed HRC value, derived from multiple waveforms in the presence of noise and artifacts. This approach will be validated and tested for assessment of HRC in critically ill patients.