Computer Vision Pattern Recognition

Ambulation Analysis in Wearable ECG by Subhasis Chaudhuri

By Subhasis Chaudhuri

Ambulation research in Wearable ECG

Subhasis Chaudhuri, Tanmay Pawar, Siddhartha Duttagupta

Ambulation research in Wearable ECG demonstrates why, because of fresh advancements, the wearable ECG recorder substantiates an important innovation within the healthcare field.

About this book:

Examines the viability of wearable ECG in cardiac monitoring

Includes chapters written by way of practitioners who've in my view constructed such to write down in regards to the details

Bridges the distance among and algorithmic advancements with chapters that particularly talk about the elements and their corresponding calibration issues

Presents an invaluable textual content for either practitioners and researchers in biomedical engineering and comparable interdisciplinary fields

Assumes simple familiarity with electronic sign processing and linear algebra

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Extra info for Ambulation Analysis in Wearable ECG

Example text

Among physiological parameters ECG (Electrocardiogram) is one of the most important vital signals because it directly reflects the heart condition. Wearable devices used for recording ECG related information may continuously record heart rate and/or ECG for several hours or days and store it on the system memory. The stored ECG can then be used by cardiologists for subsequent analysis and diagnosis. Holter monitors, developed for the first time by N. J. Holter [44], are commonly used for this purpose.

Thus, as explained above, the delay can be determined even though the waveforms may have different amplitude scales. The only requirement is that the waveforms should be non-negative to maintain the unique relation of time and amplitude. Since the ECG signal may go below the isoelectric level it may have negative valued samples which are to be replaced by zeros for applying this technique. In the matched filter based technique a noise-free ECG beat forms an impulse response of the matched filter.

The motion artifact induced due to relative motion of electrodes is more prevalent during ambulatory conditions. It is still a challenging problem to remove motion artifact reliably without affecting the cardiac components of the ECG signal. For reduction of motion artifact, an adaptive recurrent filter (ARF) [130] is suggested that uses the repetitions of the cardiac cycle. Here a cardiac cycle of a fixed length is estimated by the proposed ARF. The ARF coefficients are adapted once in every cycle of ECG so that the impulse response of the filter represents the P-QRS-T complex of the fixed length.

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