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Biomedical subjects

Robert J Sclabassi

Publications and source records attributed to Robert J Sclabassi.

2 recordsLinked to original sources

Physiologic data acquisition system and database for the study of disease dynamics in the intensive care unit.

OBJECTIVE: To describe a real-time, continuous physiologic data acquisition system for the study of disease dynamics in the intensive care unit. DESIGN: Descriptive report. SETTING: A 16-bed pediatric intensive care unit in a tertiary care children's hospital. PATIENTS: A total of 170 critically ill or injured pediatric patients. INTERVENTIONS: None. MAIN OUTCOME MEASURES: None. RESULTS: We describe a computerized data acquisition and analysis system for the study of critical illness and injury from the perspective of complex dynamic systems. Both parametric (1 Hz) and waveform (125-500 Hz) signals are recorded and analyzed. Waveform data include electrocardiogram, respiration, systemic arterial pressure (invasive and noninvasive), central venous pressure, pulmonary arterial pressure, left and right atrial pressures, intracranial pressure, body temperature, and oxygen saturation. Details of the system components are explained and examples are given from the resultant physiologic database of signal processing algorithms and signal analyses using linear and nonlinear metrics. CONCLUSIONS: We have successfully developed a real-time, continuous physiologic data acquisition system that can capture, store, and archive data from pediatric intensive care unit patients for subsequent time series analysis of dynamic changes in physiologic state. The physiologic signal database generated from this system is available for analysis of dynamic changes caused by critical illness and injury.

Algorithms↗

Data communication between brain implants and computer.

Recent advances in neuroscience, microelectronics, and information technology have allowed construction of miniature, but highly intelligent, devices to be implanted within the brain to perform in vitro diagnostic and therapeutic functions. However, there exists a significant problem in establishing an effective wireless data communication link between brain implants and external computer. This communication investigates this link and presents a new design using the mechanism of volume conduction of biological tissues. A theoretical model of volume conduction of the head is utilized to compute signal strength in data communication and the result is evaluated by a physical model. The two-way data communication sensitivity of the volume conduction channel is found to be symmetric, as suggested by the reciprocity theorem. A high-performance, x-shaped volume conduction antenna has been designed. Experiments are performed on animals which demonstrate the effectiveness of this volume conduction approach.

Animals↗