Ambulation Analysis in Wearable ECG by Subhasis Chaudhuri PDF

By Subhasis Chaudhuri

ISBN-10: 1441907238

ISBN-13: 9781441907233

Ambulation research in Wearable ECG

Subhasis Chaudhuri, Tanmay Pawar, Siddhartha Duttagupta

Ambulation research in Wearable ECG demonstrates why, as a result 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 via practitioners who've for my part constructed such to write down concerning the details

Bridges the distance among and algorithmic advancements with chapters that in particular speak 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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Additional info for Ambulation Analysis in Wearable ECG

Example text

However for each input signal an extra shield drive amplifier is required. For example for a simultaneous three lead ECG recording device, three shield drives are required. For higher number of leads, analog demultiplexing reduces the required number of shield drives. For example for a 12 lead arrangement, shown in Fig. 2, eight additional op-amps are required for buffering and shield drive purposes. Fig. 9 shows the schematic of Wilson Central Terminal generation, guarding and right leg drive circuits for a 64 channel ECG amplifier [85].

An adaptive filter with a single weight has been proposed here for reducing slow wandering of baseline. A constant is used as the reference signal and the composite ECG signal with baseline wandering is the primary input. At every sample of the ECG signal, the error produced by the difference between the constant reference and the filter weight multiplied by the previous input sample (since it is a single weight filter) is used for updating the filter weight according to the least mean squares (LMS) algorithm as w[n + 1] = w[n] + 2µe[n], where e[n] is error signal, w[n] is the filter weight at nth sample and µ is the adaptation parameter.

Some part of the current may flow through the input impedance of INA if INA is AC-coupled. ACcoupled INA is desired because INA should tolerate at least ±300mV input DC offset voltage. If all components between the body and input terminals of the instrumentation amplifier are matched still CMRR of the signal conditioner module is a finite value and hence a small portion of the induced common mode signal appears as 50Hz (or 60Hz) noise in the recorded ECG. This noise disturbs the ECG, specifically P-Wave and T-Wave part of it.

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Ambulation Analysis in Wearable ECG by Subhasis Chaudhuri

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