|Institution:||University of Akron|
|Keywords:||Engineering, Biomedical; simulation; physiological signals; wavelets; multi-resolution analysis (MRA); electrocardiogram (ECG); blood pressure; respiratory signal; photoplethysmogram (PPG); derivative of cardiac impedance (dZ/dt)|
|Full text PDF:||http://rave.ohiolink.edu/etdc/view?acc_num=akron1193079604|
Increased attention to patient safety, demands for innovation in medical education, and accelerating advances in diagnostic and therapeutic procedures have all promoted a growing interest in the use of simulators for medical training and assessment.The current study proposed and developed a method for approximating and reproducing physiological signals in a programmable simulator using wavelet filtering. This method employed the technique of designing a template from an already existing source data,which then forms the basis of this realistic artificial biomedical signal generator/simulator. The simulated physiological signals included an electrocardiogram,blood pressure, respiratory signal, time derivative of thoracic impedance (dZ/dt), and photopletheysmogram. Templates were also designed for conditions exhibiting premature ventricular contraction, ventricular flutter and left bundle branch block in an electrocardiogram. The software was designed in MATLAB®, and DATAQ® Instruments DI-720 data acquisition system was used to display the simulated output. Evaluation of this simulator model was done both in quantitative and qualitative terms. The results proved that using wavelets for reconstruction of physiological signals minimized distortion and retained the significant features in each signal that was simulated.