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 contemporary 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 via practitioners who've in my opinion built such to write down in regards to the details

Bridges the space among and algorithmic advancements with chapters that particularly speak about the points and their corresponding calibration issues

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

Assumes uncomplicated familiarity with electronic sign processing and linear algebra

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Extra resources for Ambulation Analysis in Wearable ECG

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To analyze the ambulation activities in time we must have a common time reference for both the signals which is possible only if the sampling rates for both the systems are known. A pulse with a very stable amplitude, frequency and duty cycle is required as the input for the calibration of the sampling rate of the locket. 2 Experimental Set-up 47 sampling rate. There are, however, some limitations on the calibration pulse: the amplitude of the pulse should be less than 1mV in order to prevent the device from going into saturation due to high amplifier gain and the ON time of the pulse should be integer multiple of sampling period to avoid the error in counting of number of samples per second.

This is made possible due to miniaturization of electronics components, customized chip design for specific analog processing, availability of high speed microcomputers and ECG analysis algorithms [47, 113, 117, 134]. We provide the hardware details of one such W-ECG in the next chapter. W-ECG uses pre-defined ECG leads which are to be connected to the ECG electrodes appropriately placed on the body. In the standard 12-lead ECG the primary leads are connected to the limbs and hence also referred as limb leads.

This modeling required 2, 7, 2 and 4 Hermite coefficients to represent P, QRS, ST and T, respectively. In [88], a discrete cosine transform based modeling is proposed for delineation of P, QRS and T waves. The biphasic functions given by pole-zero model of order (2,2) are used in this representation. It is shown in [88] that P and T each has a single biphasic function whereas QRS can be represented as two or three biphasic functions. These segmentations of ECG waves are useful for further analysis and compression of ECG signals.

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