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 2010
A closed-loop brain computer interface for real-time seizure detection and control.
The worldwide prevalence of epilepsy is approximately 1%, and 25% of epilepsy patients cannot be treated sufficiently by available therapies. Brain stimulation with closed-loop seizure control has recently been proposed as an innovative and effective alternative. ⋯ A wireless communication feature also provided flexibility for subjects freeing from the hassle of wires. Experimental data from freely moving rats supported the functional possibility of a real-time closed-loop seizure controller.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2010
Effect of ECG quality measures on piecewise-linear trend detection for telehealth decision support systems.
Fledgling clinical decision support systems (DSSs) are being designed on the false assumption that consistent, good-quality signals are created in the unsupervised telehealth environment, but it has in fact been shown that signal quality is often very poor. Hence, it is important to investigate the detrimental impact of failing to recognize erroneous clinical parameter values. ⋯ The application of the same artifact detection also results in a significant improvement in trend fitting, when compared to a fitting of the reference HR values, by reducing the mean RMSE value of the error in the trend fit from 2.14 BPM to 0.78 BPM and standard error from 0.49 BPM to 0.10 BPM. As trend detection will be a component of future telehealth decision support systems, signal quality measures for unsupervised measurements are of paramount importance.
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This paper presents real-time signal processing algorithm for detection of onsets and peaks in Photoplethysmogram (PPG) waveform. Algorithm relies on the analysis of amplitude, slope and inter-beat intervals. The presented algorithm consists of four stages for characterizing PPG waveform. ⋯ Further the detection parameters are made adaptive to comply with varying beat morphologies and fluctuations in baseline. All signal processing steps and decision logics are implemented with low computational complexity to make it applicable for compact ubiquitous health monitoring devices. On evaluation with our database, the algorithm achieved sensitivity of 96.89% and positive predictivity of 94.55% within an acceptance level of 12 ms.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2010
Preliminary assessment of abdominal organ perfusion utilizing a fiber optic photoplethysmographic sensor.
In an attempt to overcome the limitations of current techniques for monitoring abdominal organ perfusion, a prototype reflectance fiber optic photoplethysmographic (PPG) sensor and processing system was evaluated on seventeen anaesthetized patients undergoing laparotomy. Good quality PPG signals were obtained from the large bowel, small bowel, liver and stomach. ⋯ Mean estimated blood oxygen saturation (SpO(2)) values from all abdominal sites showed good agreement with those obtained from the finger using both the finger fiber optic sensor and a commercial finger pulse oximeter. Furthermore, a Bland and Altman between-method-differences analysis on the estimated SpO(2) data suggests that a fiber optic abdominal sensor may be a suitable method for the evaluation of abdominal organ perfusion.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2010
Design of a pulse oximeter for price sensitive emerging markets.
While the global market for medical devices is located primarily in developed countries, price sensitive emerging markets comprise an attractive, underserved segment in which products need a unique set of value propositions to be competitive. A pulse oximeter was designed expressly for emerging markets, and a novel feature set was implemented to reduce the cost of ownership and improve the usability of the device. Innovations included the ability of the device to generate its own electricity, a built in sensor which cuts down on operating costs, and a graphical, symbolic user interface. These features yield an average reduction of over 75% in the device cost of ownership versus comparable pulse oximeters already on the market.