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
Model predictive control of depth of anaesthesia: guidelines for controller configuration.
The paper presents a feasibility study on the use of Model based Predictive control (MPC) to regulate the level of Depth of Anaesthesia (DoA) when measured by the BIS index. Pharmacokinetic/pharmacodynamic nonlinear models of DoA when Propofol and Remifentanil are used as hypnotic and analgesic drugs are linearized around the desired working point for DoA in order to obtain a linear state-space model coupled with an extra integrator to include integral action in the control. This state-space model is then used in a MPC algorithm. The main contribution of the paper consists in the characterization of the influence of the different design parameters in the MPC performance when controlling DoA.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2008
Non-invasive measurement of respiratory rate in children using the photoplethysmogram.
Respiratory rate is recognised as a valuable predictor of the severity of illness in children, but it is not currently feasible to measure this automatically in a triage environment. Autoregressive modelling on data from the pulse oximeter photoplethysmogram has the potential to introduce automated breathing measurement into the realm of paediatric triage. Using autoregressive modelling, it is shown that respiratory rate can be extracted from the paediatric photoplethysmogram with a mean error of 3.4 breaths per minute.