Can Wearable Devices Accurately Measure Heart Rate Variability? A Systematic Review

Γεωργίου, Κωνσταντίνος; Larentzakis, Andreas; Khamis, Nehal; Alsuhaibani, Ghadah I; Alaska, Yasser A.; Giallafos, Elias

doi:10.2478/folmed-2018-0012

Cited by 168 publications

(188 citation statements)

References 44 publications

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“…Currently, novel ECG monitoring technologies are being developed in the hopes of providing more convenient long‐term heart rate monitoring. Studies have found that wearable devices may provide a promising solution for heart rate monitoring; however, more robust studies in nonstationary conditions are required . Wearable ECG devices that have been developed include sensor sites on the chest, ear, hand, wrist, torso, leg, or thigh .…”

Section: Resultsmentioning

confidence: 99%

“…Studies have found that wearable devices may provide a promising solution for heart rate monitoring; however, more robust studies in nonstationary conditions are required . Wearable ECG devices that have been developed include sensor sites on the chest, ear, hand, wrist, torso, leg, or thigh . In addition, ECG monitoring devices involving fewer leads have also been developed to allow easier and more cost‐effective ways to conduct short repeated assessments.…”

Section: Resultsmentioning

confidence: 99%

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Prevention, Monitoring, and Management of Cardiac Dysfunction in Patients with Metastatic Breast Cancer

et al. 2019

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Cardiac monitoring is becoming an important part of breast cancer care. Breast cancer and cardiovascular disease (CVD) share many common risk factors, and it is estimated that by the median age of diagnosis, many patients with breast cancer will have established or subclinical CVD. In addition, a number of treatments for metastatic breast cancer are known to have cardiac effects. As such, there is a clear need to prevent, identify, and effectively manage cardiovascular events in patients with breast cancer. Current clinical practice for patients with metastatic breast cancer involves a comprehensive set of assessments to ensure efficacy and safety of treatment. Adding cardiac monitoring to the assessments already required for patients with breast cancer may improve survival and quality of life. Currently, cardiac monitoring is recommended for several breast cancer treatments, and guidelines related to cardiac monitoring are available. Here, we review the risk of CVD in patients with breast cancer, providing an overview of the cardiac events associated with standard therapies for metastatic breast cancer. We also assess the current clinical recommendations relating to cardiac monitoring, and practical management strategies for oncologists. Cardio‐oncology is a growing medical subspecialty that promotes the need for effective cancer therapy while minimizing cardiac effects. Integrating cardiac monitoring into routine clinical practice may safeguard patients with metastatic breast cancer against adverse cardiac effects. Implications for Practice This review details the common risk factors associated with cardiovascular disease that are frequently observed in patients with metastatic breast cancer, as well as the adverse cardiac effects of many therapies that are commonly prescribed. The review also provides a rationale for routine and comprehensive cardiovascular assessment of all patients at baseline, and during and after therapy depending on the treatment and presence of risk factors for cardiovascular disease. The medical discipline of cardio‐oncology is increasingly being recognized as an important part of clinical practice to ensure effective cancer therapy while maintaining cardiac health.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Prevention, Monitoring, and Management of Cardiac Dysfunction in Patients with Metastatic Breast Cancer

et al. 2019

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“…Currently, technology exists for measuring heart rate in the form of optical photoplethysmogram (PPG). However, this technology cannot accurately detect heart rhythm [8]. Some emerging devices are providing ECG based functionality; however, these devices rely on the user touching the device on their wrist with their other hand in order to establish a bipolar lead.…”

Section: Introductionmentioning

confidence: 99%

Wearable Technology: Signal Recovery of Electrocardiogram from Short Spaced Leads in the Far-field Using Discrete Wavelet Transform Based Techniques

McCallan¹,

Finlay²,

Biglarbeigi³

et al. 2019

2019 Computing in Cardiology Conference (CinC)

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Bipolar ECG leads recorded from closely spaced electrodes are challenging in any context. When they are positioned distally with respect to the source field (far-field), the recovery of clinically useful signal content represents an even greater challenge. Due to the increased interest in ambulatory wellness devices, particularly wrist-worn devices, there is a renewed interest in recovering ECG signals from distally located bipolar leads. In this study 10 bipolar leads were simultaneously recorded at various locations along the left arm. At the same time, a conventional proximal reading on the chest using Lead I was also recorded and stored. This process was repeated for 11 healthy subjects. ECGs were recorded for a period of approximately 6 minutes for each subject and sampled at a frequency of 2048 Hz. Wavelet-based filtering using Daubechies 4 wavelet decomposition and soft threshold was applied to each lead. QRS detection performance was assessed against Lead I for each subject. This investigation found that a lead positioned transversally (using BIS gelled electrodes) on the upper arm provided the best accuracy against the benchmark QRS detection (SEN = 0.998, PPV = 0.984). The most distally positioned bipolar lead using dry electrodes faired least favourable (SEN = 0.272, PPV = 0.202).

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“…Indeed, there have been reports that the PPG sensor, used to measure HR and HRV in wearable devices is susceptible to motion noise (Baek & Shin, ). As motion increases, correlations decrease due to motion artifacts (Georgiou et al, ). This is an important issue that developers of wearable devices need to address, since the purpose of these devices are to be worn while a person goes about their daily life, which involves a multitude of movements.…”

Section: Discussionmentioning

confidence: 99%

Comparing apples and oranges or different types of citrus fruits? Using wearable versus stationary devices to analyze psychophysiological data

et al. 2020

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Wearable devices capable of capturing psychophysiological signals are popular.However, such devices have, yet, to be established in experimental and clinical research. This study, therefore, compared psychophysiological data (skin conductance level (SCL), heart rate (HR), and heart rate variability (HRV)) captured with a wearable device (Microsoft band 2) to those of a stationary device (Biopac MP150), in an experimental pain induction paradigm. Additionally, the present study aimed to compare two analytical techniques of HRV psychophysiological data: traditional (i.e., peaks are detected and manually checked) versus automated analysis using Python programs. Forty-three university students (86% female; Mage = 21.37 years) participated in the cold pressor pain induction task. Results showed that the majority of the correlations between the two devices for the mean HR were significant and strong (rs > .80) both during baseline and experimental phases. For the time-domain measure of mean RR (function of autonomic influences) of HRV, the correlations between the two devices at baseline were almost perfect (rs = .99), whereas at the experimental phase were significantly strong (rs > .74). However, no significant correlations were found for mean SCL (p> .05). Additionally, automated analysis led to similar features for HRV stationary data as the traditional analysis. Implications for data collection include the establishment of a methodology to compare stationary to mobile devices and a new, more cost efficient way of collecting psychophysiological data. Implications for data analysis include analyzing the data faster, with less effort and allowing for large amounts of data to be recorded. K E Y W O R D SBland-Altman plots, heart rate variability, psychophysiological data, root mean square error, skin conductance response, stationary equipment, wearable device

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Can Wearable Devices Accurately Measure Heart Rate Variability? A Systematic Review

Abstract: Wearable devices may provide a promising alternative solution for measuring RV. However, more robust studies in non-stationary conditions are needed using appropriate methodology in terms of number of subjects involved, acquisition and analysis techniques implied.

Cited by 168 publications

References 44 publications

Prevention, Monitoring, and Management of Cardiac Dysfunction in Patients with Metastatic Breast Cancer

Prevention, Monitoring, and Management of Cardiac Dysfunction in Patients with Metastatic Breast Cancer

Wearable Technology: Signal Recovery of Electrocardiogram from Short Spaced Leads in the Far-field Using Discrete Wavelet Transform Based Techniques

Comparing apples and oranges or different types of citrus fruits? Using wearable versus stationary devices to analyze psychophysiological data

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