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 2006
Optimizing deep brain stimulation parameter selection with detailed models of the electrode-tissue interface.
Deep brain stimulation (DBS) is an established clinical therapy for the treatment of Parkinson's disease. However, selecting stimulation parameters for maximal clinical benefit can be a difficult and time consuming process that typically requires a highly trained and experienced individual to achieve acceptable results. To address this limitation we developed a Windows-based software package (StimExplorer) intended to aid the clinical implementation of DBS technology. ⋯ The software then provides theoretically optimal stimulation parameter suggestions, intended to represent the start point for clinical programming of the DBS device. The software system is packaged into a clinician-friendly graphical user interface that allows for interactive 3D visualization. The goals of the StimExplorer system are to educate clinicians on the impact of stimulation parameter manipulation, and improve the customization of DBS to individual patients.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2006
Correction of erroneous and ectopic beats using a point process adaptive algorithm.
We present a new R-R interval correction procedure based on a point process model of the human heart beat. The algorithm combines an adaptive point process filter with a set of conditions on the probability of having a beat according to the model. This framework allows for correction of ectopic and erroneously detected beats in an on-line fashion, simultaneous with computation of instantaneous estimates of heart rate and heart rate variability. Results demonstrate the efficacy of the method, and show new heart rate and heart rate variability dynamics corrected for artifacts introduced by incorrect and/or irregular R-R intervals.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2006
An integrated system supporting training in medical and administrative decision making in the emergency department.
The aim of the present project was the development of an integrated computer-based system supporting training in medical and administrative decision making in the Emergency Department. The system comprises of, first, a module supporting on-line acquaintance with Emergency Medical Guidelines, second, a vital-signs monitoring and processing module, and finally an administrative module organizing the most relevant facts about a patient's health status in compliance with the ASTM E2369-0 Standard Specification for Continuity of Care Record, in order to be employed after discharge from the Emergency Care to a hospital ward or to homecare.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2006
Implementation of a burn scar assessment system by ultrasound techniques.
Tissue injury and its ensuing healing process cause scar formation. In addition to physical disability, the subsequent disfigurements from burns often bring negative psychological impacts on the survivors. Scar hypertrophy and contracture limit the joint motion and body function of the patient. ⋯ In this report, the quantitative assessment system was used to evaluate the scar of a seriously burned patient. In order to verify the reliability of systematic reconstruction method, we constructed a phantom to imitate the scar tissue. The results show that it can achieve more than 90% in accuracy.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2006
Coma duration prediction in diffuse axonal injury: analyses of apparent diffusion coefficient and clinical prognostic factors.
The purpose of this paper is to evaluate the hypothesis that the Apparent Diffusion Coefficient (ADC) values combined with initial clinical factors indicates the depth of shearing lesions in the brain structure and therefore relates to coma duration of diffuse axonal injury (DAI). Seventy-four adult patients (48 male and 26 female patients) with diffuse axonal injury were examined with convention MR imaging and diffusion weighted MR imaging between 2 hours and 20 days after injury. Apparent diffusion coefficient (ADC) maps were obtained and the mean ADC values of each Region of Interest (ROI) were measured using MRI console software. ⋯ Post-traumatic coma duration of DAI could be predicted by cerebral MRI findings in the acute to subacute stage after head injury combined with clinical prognostic factors. Age, ADC scores, GCS, number of lesions are highly significant in predicting coma duration. The technique presented herein might provide a tool for in vivo detection of DAI for the coma duration at the early stages in patients with traumatic brain injury.