Automatic COVID-19 severity assessment from HRV

Aliani, Cosimo; Rossi, E.; Luchini, Marco; Calamai, Italo; Deodati, Rossella; Spina, Rosario; Francia, Piergiorgio; Lanatà, Antonio; Bocchi, Leonardo

doi:10.1038/s41598-023-28681-2

Cited by 7 publications

(3 citation statements)

References 41 publications

(42 reference statements)

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“…following on from successful small-scale studies proving the efficacy of PPG lower frequency variability for specific clinical application areas, to then gather big data for global digital health and disease monitoring, e.g. autonomic nervous system by HRV linked features derived from PPG monitoring during a pandemic such as with Covid-19 (Aliani et al 2023 ).…”

Section: Ppg Low Frequency Variability and Autonomic Functionmentioning

confidence: 99%

The 2023 wearable photoplethysmography roadmap

Charlton¹,

Allen²,

Bailón³

et al. 2023

Physiol. Meas.

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Photoplethysmography is a key sensing technology which is used in wearable devices such as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to monitor physiological parameters including heart rate and heart rhythm, and to track activities like sleep and exercise. Yet, wearable photoplethysmography has potential to provide much more information on health and wellbeing, which could inform clinical decision making. This Roadmap outlines directions for research and development to realise the full potential of wearable photoplethysmography. Experts discuss key topics within the areas of sensor design, signal processing, clinical applications, and research directions. Their perspectives provide valuable guidance to researchers developing wearable photoplethysmography technology.

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Section: Ppg Low Frequency Variability and Autonomic Functionmentioning

confidence: 99%

The 2023 wearable photoplethysmography roadmap

Charlton¹,

Allen²,

Bailón³

et al. 2023

Physiol. Meas.

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“…The relationship between the different indexes of HRV and inflammatory markers has been widely studied, and a meta-analysis of 51 studies has demonstrated that HRV indexes are inversely related to the levels of the inflammatory markers [18]. Recent studies have associated reductions in HRV with COVID-19 [19][20][21][22][23][24].…”

Section: Lifestyle Factorsmentioning

confidence: 99%

Wearable Devices to Diagnose and Monitor the Progression of COVID-19 Through Heart Rate Variability Measurement: Systematic Review and Meta-Analysis

Sanches,

Silva,

Librantz

et al. 2023

J Med Internet Res

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Background Recent studies have linked low heart rate variability (HRV) with COVID-19, indicating that this parameter can be a marker of the onset of the disease and its severity and a predictor of mortality in infected people. Given the large number of wearable devices that capture physiological signals of the human body easily and noninvasively, several studies have used this equipment to measure the HRV of individuals and related these measures to COVID-19. Objective The objective of this study was to assess the utility of HRV measurements obtained from wearable devices as predictive indicators of COVID-19, as well as the onset and worsening of symptoms in affected individuals. Methods A systematic review was conducted searching the following databases up to the end of January 2023: Embase, PubMed, Web of Science, Scopus, and IEEE Xplore. Studies had to include (1) measures of HRV in patients with COVID-19 and (2) measurements involving the use of wearable devices. We also conducted a meta-analysis of these measures to reduce possible biases and increase the statistical power of the primary research. Results The main finding was the association between low HRV and the onset and worsening of COVID-19 symptoms. In some cases, it was possible to predict the onset of COVID-19 before a positive clinical test. The meta-analysis of studies reported that a reduction in HRV parameters is associated with COVID-19. Individuals with COVID-19 presented a reduction in the SD of the normal-to-normal interbeat intervals and root mean square of the successive differences compared with healthy individuals. The decrease in the SD of the normal-to-normal interbeat intervals was 3.25 ms (95% CI −5.34 to −1.16 ms), and the decrease in the root mean square of the successive differences was 1.24 ms (95% CI −3.71 to 1.23 ms). Conclusions Wearable devices that measure changes in HRV, such as smartwatches, rings, and bracelets, provide information that allows for the identification of COVID-19 during the presymptomatic period as well as its worsening through an indirect and noninvasive self-diagnosis.

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“…Decreased HRV has been reported in every single chronic disease, including the AIDs. In addition, decreased HRV is seen in many acute conditions including COVID-19 infection and the long-COVID syndrome [331][332][333][334][335][336][337].…”

Section: Cardiovascular Dynamicsmentioning

confidence: 99%

Energy Dynamics in the Autoimmune Disorders: The Unity of Immunity

Thorp,

Northrup

et al. 2023

G Med Sci

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In this paper we examine the autoimmune disorders (AIDs) not from a cellular/ molecular standpoint as scientists have attempted for decades but from a dynamic energy-based perspective. Not only does this framework account for the origins of these disorders but it explains phenomena that cell-based mechanisms cannot. In addition, we examine the historical basis of 20th century immune theory and point to serious errors in the research literature that have lain unrecognized for over a century and which led to broad misconception of immune functions.

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Automatic COVID-19 severity assessment from HRV

Cited by 7 publications

References 41 publications

The 2023 wearable photoplethysmography roadmap

The 2023 wearable photoplethysmography roadmap

Wearable Devices to Diagnose and Monitor the Progression of COVID-19 Through Heart Rate Variability Measurement: Systematic Review and Meta-Analysis

Energy Dynamics in the Autoimmune Disorders: The Unity of Immunity

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