Keya Pandia

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The seismocardiogram (SCG) signal traditionally measured using a chest-mounted accelerometer contains low-frequency (0-100 Hz) cardiac vibrations that can be used to derive diagnostically relevant information about cardiovascular and cardiopulmonary health. This work is aimed at investigating the effects of respiration on the frequency domain(More)
Seismocardiography (SCG) is a non-invasive measurement of the vibrations of the chest caused by the heartbeat. SCG signals can be measured using a miniature accelerometer attached to the chest, and are thus well-suited for unobtrusive and long-term patient monitoring. Additionally, SCG contains information relating to both cardiovascular and respiratory(More)
This paper presents a method of extracting primary heart sound signals from chest-worn accelerometer data in the presence of motion artifacts. The proposed method outperforms noise removal techniques such as wavelet denoising and adaptive filtering. Results from six subjects show a primary heart signal detection rate of 99.36% with a false positive rate of(More)
This work aims at modeling, in the presence of simplifying physical and geometrical assumptions, acoustic wave propagation through human thoracic tissue. Presented here are preliminary modeling results that are indicative of dominant lung resonances at specific frequencies. These resonant modes strongly impact pressure distribution in the tissue as well as(More)
Ballistocardiography and seismocardiography are both non-invasive mechanical measurements of the vibrations of the body in response to the heartbeat. The ballistocardiogram (BCG) signal represents the movements of the whole body in response to cardiac ejection of blood into the vasculature; the seismocardiogram (SCG) corresponds to local vibrations of the(More)
This project aims at creating a set of image processing algorithms that can detect two-dimensional visual code markers in images and read off the bit patterns embedded in these codes. The construction of these markers is described in [1]. The images are of inferior quality, obtained from mobile phone cameras, which have high ISO noise and changing light(More)
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