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
Clinical TrialA neuro-fuzzy approach for predicting hemodynamic responses during anesthesia.
The effect of drugs' interaction on the hemo-dynamic variables is of great importance when considering patient's safety and stability. It is also important for control infusion systems during anesthesia. ⋯ The use of subtractive clustering improved the model performance on the testing data set. The fuzzy model is able to capture the synergistic interaction between the two drugs, but other influences were detected.
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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
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
Automatic identification of lumbar level with ultrasound.
An ultrasound-based system is created to label the lumbar vertebrae for the purpose of percutaneous needle insertion. Many lumbar punctures have a preferable vertebral level for needle insertion, but the traditional method of manual palpation is known to be inaccurate for determining the level. Needle insertion for epidural anesthesia in obstetrics is preferably performed at the L3-L4 interspace and miscalculation can lead to complications such as nerve damage and paralysis. ⋯ The vertebrae are labeled with a novel image processing algorithm. Since the coccyx is relatively easy to locate by palpation, the labels of the vertebrae from the panorama can be converted to skin location on the subject. The method is validated against independent measurements by a sonographer.
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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.