Robust QRS detection for HRV estimation from compressively sensed ECG measurements for remote health-monitoring systems

Pant, Jeevan K.; Krishnan, Sridhar

doi:10.1088/1361-6579/aaa3c9

Cited by 6 publications

(3 citation statements)

References 32 publications

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“…The R peak counts from one or all the three electrodes enables to compute the pulse by means of thresholding. The same can be performed by robust algorithms like Pan-Tompkins (12). The pulse count is computed with the equation Figure 1.…”

Section: Ecg Processing and Choice Of Electrodesmentioning

confidence: 99%

Design and Implementation of Wearable Patient Health Monitoring System Using WBAN and IoT

Kolluri¹,

Mukherjee²,

Sundararajan³

2022

ECS Trans.

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A remote patient health monitoring system using Wireless Body Area Network (WBAN) has been proposed to detect sudden possible falls in elderly people, acquire body temperature and ECG (Electrocardiogram) via wireless sensor nodes viz an accelerometer, a temperature sensor, and 3 bipolar limb leads. These nodes carry information to a coordination node with the freedom of unconstrained movement, by allowing the nodes to interact with the host node seamlessly. Leads 2 and 3 gives an inferior view of the heart to detect a probable heart attack or MI that might occur in the inferior region. Dynamic Time Warping (DTW) has been employed in this work for the detection of ST elevation, T inversion, and deep Q on lead 2 data. Atrial fibrillation, the most common kind of arrhythmia, is anticipated from the acquired lead 2 data using the standard deviation parameter. The 3 lead ECG report is then forwarded to the doctor via email for remote monitoring and diagnostic purposes.

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Section: Ecg Processing and Choice Of Electrodesmentioning

confidence: 99%

Design and Implementation of Wearable Patient Health Monitoring System Using WBAN and IoT

Kolluri¹,

Mukherjee²,

Sundararajan³

2022

ECS Trans.

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show abstract

“…Wearables exist that provide long-term telemonitoring of HRV using low-power biosensors that employ methodologies to acquire ECG signals from on-body sensors (Pant and Krishnan, 2018). Although artifacts may be more common in comparison to Holter monitors in some RMTs that record HRV, this can be offset by benefits, such as longer battery life, superior comfort, higher user-acceptability/compliance (patients often do not want medical devices to be visible if they are worn in public) and the ability of RMTs to collect other relevant physiological covariates, such as body temperature, respiration, and motor parameters (Akintola et al, 2016).…”

Section: Deploying Remote Heart Rate Variabilitymentioning

confidence: 99%

The Role of Heart Rate Variability in the Future of Remote Digital Biomarkers

Owens

2020

Front. Neurosci.

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“…Bio-signal QRS complex detectors have narrow bandwidth biopotential amplifiers as their input circuit. There are some alternative implementations, such as the use of compressivesensing based method for the acquisition of ECG signals [5]. However, these implementations demand too much computational and technological resources.…”

Section: Introductionmentioning

confidence: 99%

Modeling and experimental evaluation of pseudo-resistor’s temperature dependence

Pereira

Galeti

Testa

et al. 2020

Semicond. Sci. Technol.

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This work presents the experimental temperature dependence evaluation of the pseudo-resistor piecewise linear (PWL) macromodel, for temperature ranging from 300 to 333 K. The studied macromodel is based on the PWL methodology and it can be used for pseudo-resistors SPICE simulation, including both linear and non-linear operation regions. This study was carried out using a low-frequency bio-potential amplifier with narrow bandwidth for use in QRS complex (part of the electrocardiogram which is a combination of the Q wave, R wave and S wave) detection systems. The architecture based on pseudo-resistors provides DC offset cancellation, adequate frequency response and a significant reduction of the signal recovery time. Both the pseudo-resistor and the QRS complex detector performance were experimentally measured with the temperature variation, in order to include this dependency in the PWL model. The transient recovery time, as well as the QRS complex detector frequency response, was also widely evaluated, in the proposed temperature range, through experimental measurements. The temperature dependence was added to the model and implemented in the SPICE simulation. The model outputs showed strong adherence to experimental data, showing a disagreement less than 6% in the low cut-off frequency. The macromodel’s response to the recovery time also followed the same experimental results behavior, presenting a maximum error of 20% within human body temperature range. The obtained recovery time was less than a normal heartbeat period to the entire temperature range evaluated. All of the analyzed circuits were implemented using GF 8HP 0.13 μm BiCMOS technology from Global Foundries.

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Robust QRS detection for HRV estimation from compressively sensed ECG measurements for remote health-monitoring systems

Abstract: The proposed method is useful for the realization of long-term HRV monitoring systems by using CS-based low-power wireless on-body biosensors.

Cited by 6 publications

References 32 publications

Design and Implementation of Wearable Patient Health Monitoring System Using WBAN and IoT

Design and Implementation of Wearable Patient Health Monitoring System Using WBAN and IoT

The Role of Heart Rate Variability in the Future of Remote Digital Biomarkers

Modeling and experimental evaluation of pseudo-resistor’s temperature dependence

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