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
Interpolation of the subjective score of visually-induced motion sickness by using physiological parameters.
In order to investigate the effect of visually-induced motion sickness in actual video images, this study proposes a method of interpolation for the subjective score, which has low time and quantitative resolutions, by using physiological parameters. The model which represents the change in subjective score of VIMS was expressed as multiple regression equations in which input parameters are cardiovascular indices such as heart rate variability. The estimation results indicated that the model can represent, in higher resolution, the change in the subjective score of the subjects who have induced nausea.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2008
Clinical TrialPersonalized neuromuscular blockade through control: clinical and technical evaluation.
This paper presents a statistical analysis of clinical data collected in surgeries under automatic closed-loop control of neuromuscular blockade. Four different control strategies have been applied in patients undergoing elective surgeries and clinical and technical evaluations of the control system were performed. Both transient and steady-state behaviour were analysed in detail and clearly suggest an automatic control approach relying on the information about the patient dynamics. The results can be a valuable start point to design personalized drug infusion control in anaesthesia.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2008
Respiratory rate detection algorithms by photoplethysmography signal processing.
Photoplethysmography (PPG) offers the clinically meaningful parameters, such as, heart rate, and respiratory rate. In this study, we presented three respiratory signal detection algorithms using photoplethysmography raw data generated from commercial PPG sensor: (1)Min-Max (2)Peak-to-Peak (3)Pulse Shape. As reference signal, nasal sensor signal was acquired simultaneously and compared and analyzed. ⋯ They can be used to detect respiratory rate. But, Pulse Shape algorithm was accurate for subject 4 only. More experimental data is necessary to improve the accuracy and reliability.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2008
Evaluation of a tactile display around the waist for physiological monitoring under different clinical workload conditions.
In this study, we have assessed the usability of a tactile belt prototype for clinical monitoring of physiologic patient data in the operating room under low workload (LW) and high workload (HW) conditions. In previous investigations, we have evaluated tactile technology in clinical settings and demonstrated that anesthesiologists have enhanced situational awareness towards adverse clinical events when a tactile display prototype is used as a supplemental monitoring device. To further evaluate the effectiveness of our tactile belt prototype, we compared the effects of workload on the performance of anesthesiologists in terms of accuracy and response time in tactile alert identification. ⋯ We found that the response time to tactile alert identification to be faster under LW than under HW, however the accuracy of identification was not statistically different. Participants rated the tactile belt prototype as comfortable to use and the tactile alert scheme as easy to learn. Our findings further support the feasibility and efficacy of vibrotactile devices for enhancing physiological monitoring of patients in clinical environments.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2008
Removal of ECG artifacts from EEG using a modified independent component analysis approach.
In this paper, we introduce a new automatic method for electrocardiogram (ECG) artifact elimination from the electroencephalogram (EEG) or the electrooculogram (EOG). It is based on a modification of the independent component analysis (ICA) algorithm which gives promising results while only using a single-channel EEG (or EOG) and the ECG. ⋯ Two hundred successive interference peaks were examined in each excerpt to compute correction rates. We found that our modified ICA was the most robust to various waveforms of cardiac interference and to the presence of others artifacts, with a correction rate of 91.0%, against 83.5% for EAS and 83.1% for AF.