Med Biol Eng Comput - Remote sensing of patterns of cardiac activity on an ambulatory subject using millimeter-wave interferometry and statistical methods.

Tópicos

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Resumo

Using a 94-GHz millimeter-wave interferometer, we are able to calculate the relative displacement of an object. When aimed at the chest of a human subject, we measure the minute motions of the chest due to cardiac activity. After processing the data using a wavelet multiresolution decomposition, we are able to obtain a signal with peaks at heartbeat temporal locations. In order for these heartbeat temporal locations to be accurate, the reflected signal must not be very noisy. Since there is noise in all but the most ideal conditions, we created a statistical algorithm in order to compensate for unconfident temporal locations as computed by the wavelet transform. By analyzing the statistics of the peak locations, we fill in missing heartbeat temporal locations and eliminate superfluous ones. Along with this, we adapt the processing procedure to the current signal, as opposed to using the same method for all signals. With this method, we are able to find the heart rate of ambulatory subjects without any physical contact.

Resumo Limpo

use ghz millimeterwav interferomet abl calcul relat displac object aim chest human subject measur minut motion chest due cardiac activ process data use wavelet multiresolut decomposit abl obtain signal peak heartbeat tempor locat order heartbeat tempor locat accur reflect signal must noisi sinc nois ideal condit creat statist algorithm order compens unconfid tempor locat comput wavelet transform analyz statist peak locat fill miss heartbeat tempor locat elimin superflu one along adapt process procedur current signal oppos use method signal method abl find heart rate ambulatori subject without physic contact

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