On the Role of the Genetic Features Selection for Intelligent Classification of Covid-19 Patients DOI
Cosimo Aliani, E. Rossi, Mateusz Soliński

et al.

Published: Jan. 1, 2023

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection can cause feared consequences such as those affecting microcirculation. These abnormalities are highly considered because they have been associated with prognosis in the phase. The use of genetic algorithms be helpful better understanding characteristics microcirculation that mainly affected by COVID-19.This study aimed to verify presence alterations Patients COVID-19 performing heart rate variability (HRV) analysis using peak-to-peak intervals extracted from photoplethysmographic (PPG) signals. dataset comprises 97 participants divided into two groups: healthy (50 subjects) and patients mild (47 subjects). parameters evaluated HRV were investigated three different subject selection strategies (two random subjects, five subjects tournament, roulette wheel selection), four classifiers (Discriminant Analysis Classification (DISCR), Binary Decision Tree (DT), K-Nearest Neighbor (KNN) Naive Bayes (NB)) assess which was most representative for each class. All consider features (meanRR, sd2/sd1, alpha1) particularly important. present respectively 94.2%, 78%, 80.2% subjects. Fitness End value remains about same among all methods classifier but changes instead classifiers. For method used, DT achieves best results regarding maximum fitness within population: 91.8% tournament 92.2% method. Subsequently, machine learning classifications performed training only features, result achieved obtaining an accuracy 82%, specificity 86%, sensitivity 79%. study's highlight ability algorithm determine discriminating between control groups. Further studies conducted on a population similar demographic groups necessary role microcirculatory COVID-19.

Language: Английский

Post-COVID dysautonomias: what we know and (mainly) what we don’t know DOI
David S. Goldstein

Nature Reviews Neurology, Journal Year: 2024, Volume and Issue: 20(2), P. 99 - 113

Published: Jan. 11, 2024

Language: Английский

Citations

21
Autonomic dysregulation in long-term patients suffering from Post-COVID-19 Syndrome assessed by heart rate variability DOI Creative Commons
Frank C. Mooren, Irina Böckelmann, Melina Waranski

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Sept. 22, 2023

Abstract Post-COVID-19 Syndrome (PCS) is a condition with multiple symptoms partly related to dysregulation of the autonomic nerve system. Assessment heart rate variability (HRV) using 24 h Holter-ECG may serve as surrogate characterize cardiac activity. A prospective study including 103 PCS patients (time after infection = 252 days, age 49.0 ± 11.3 years, 45.7% women) was performed and underwent detailed clinical screening, cardiopulmonary exercise testing, Holter monitoring. Data compared CAD healthy control group (n 90). After correction for sex, frequency-related variables differed in controls LF/HFpower, LF/HFnu, LF/HF ratio (24 h; p ≤ 0.001). By contrast, these were largely comparable between patients, while sympathetic activation highest during period. Overall, showed disturbed diurnal adjustment HRV, impaired parasympathetic activity at night. Patients hospitalized acute an even more pronounced overactivation who ambulant care. Our data demonstrate persistent HRV alterations long-term symptom duration, suggesting sustained impairment sympathovagal balance. Moreover, overstimulation diminished response are findings patients. Whether have prognostic value and/or might biomarkers indicating successful interventional approach warrants further longitudinal studies.

Language: Английский

Citations

26
Impact of long COVID on the heart rate variability at rest and during deep breathing maneuver DOI Creative Commons
Andréa Lúcia Gonçalves da Silva, Luana dos Passos Vieira,

Luiza Scheffer Dias

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Dec. 20, 2023

Abstract While the majority of individuals with coronavirus disease 2019 (COVID-19) recover completely, a significant percentage experience persistent symptom, which has been characterized as Long COVID and may be associated cardiac autonomic dysfunction. We evaluated heart rate variability (HRV) at rest during deep-breathing (M-RSA) in patients COVID. Case–control design involved 21 20 controls; HRV was (POLAR system) supine position M-RSA expressed time domain non-linear analysis. In we found reduction measures COVID’ compared to controls for: Mean_iRR ( p < 0.001), STD_iRR 0.001); STD_HR SD1 SD2 alpha2 0.001). rMSSD RR_tri-index 0.001) except for highest Mean_HR 0.001. conclusion, reduced deep breathing. These findings imply impairment control when symptoms COVID-19 persist following initial recovery.

Language: Английский

Citations

21
Heart rate variability is reduced in COVID‐19 survivors and associated with physical activity and fatigue DOI Creative Commons
Michael H. Haischer,

Lauren E. Opielinski,

Lindsey M. Mirkes

et al.

Physiological Reports, Journal Year: 2024, Volume and Issue: 12(2)

Published: Jan. 1, 2024

Abstract Reduced heart rate variability (HRV) and fatigue are common after COVID‐19 infection both potentially influenced by physical activity (PA). We compared resting HRV, PA from accelerometers questionnaires, self‐reported in 41 survivors (~8 months postinfection, 38 ± 17 years) with matched controls. Differences HRV were observed on acceleration capacity ( p = 0.041), deceleration 0.032), high‐frequency peak frequency 0.019), absolute low‐frequency power 0.042), relative very 0.012), SD2 (from Poincare plot; 0.047), DFA2 (slope of long‐term detrended fluctuation analysis; 0.004). Fatigue was greater < 0.001) no differences PA. Moderate‐vigorous (MVPA) (Standardized Beta −0.427, 0.003) steps per day −0.402, 0.007) associated controlling for age, sex, body fat percentage. correlated to less MVPA (Spearman's rho 0.342, 0.031) fewer (rho 0.329, 0.038) survivors, indirectly linked through these mediators (Estimate −0.20; 0.040). present a model showing the complex relations between PA, that provides foundation strategies improve outcomes rehabilitation infection.

Language: Английский

Citations

6
Advances in researches on long coronavirus disease in children: a narrative review DOI Open Access

Jiaqian Zhang,

Taiji Kuang,

Xinglou Liu

et al.

Translational Pediatrics, Journal Year: 2024, Volume and Issue: 13(2), P. 318 - 328

Published: Feb. 1, 2024

In the context of global pandemic coronavirus disease 2019 (COVID-19), more than 700 million infections and millions deaths have occurred in countries around world. Currently, two main sequelae this are considered to occur children, namely, multi-system inflammatory syndrome children long COVID. Among these two, incidence COVID is higher its impact on population extensive, which focus us. However, due lack relevant studies limitations most studies, COVID-19 infection lag behind those adults, but they begun attract attention some clinicians researchers. We aim summarize current knowledge helping pediatricians researchers better understand providing guidance research clinical treatment it.

Language: Английский

Citations

4
Cardiac Autonomic Function in Long COVID-19 Using Heart Rate Variability: An Observational Cross-Sectional Study DOI Open Access
Antônio da Silva Menezes,

Aline Andressa Schröder,

Silvia Marçal Botelho

et al.

Journal of Clinical Medicine, Journal Year: 2022, Volume and Issue: 12(1), P. 100 - 100

Published: Dec. 22, 2022

Heart rate variability is a non-invasive, measurable, and established autonomic nervous system test. Long-term COVID-19 sequelae are unclear; however, acute symptoms have been studied.To determine cardiac differences between long patients healthy controls evaluate associations among symptoms, comorbidities, laboratory findings.This single-center study included controls. The heart (HRV), quantitative marker of activity, was monitored for 24 h using an ambulatory electrocardiogram system. HRV indices were compared case control groups. Symptom frequency inflammatory markers evaluated. A significant statistical level 5% (p-value 0.05) adopted.A total 47 to 42 Patients averaged 43.8 (SD14.8) years old, 60.3% female. In total, 52.5% had moderate illness. Post-exercise dyspnea most common (71.6%), 53.2% lacked comorbidities. CNP, D-dimer, CRP levels elevated (p-values 0.0098, 0.0023, 0.0015, respectively). group greater SDNN24 SDANNI (OR = 0.98 (0.97 0.99; p 0.01)). Increased low-frequency (LF) in 1.002 (1.0001 1.004; 0.030)) high-frequency (HF) the 0.987 (0.98 0.995; 0.001)) also associated.Patients with lower HF values than individuals. These variations associated increased parasympathetic which may be related findings.

Language: Английский

Citations

19
A model-based spectral directional approach reveals the long-term impact of COVID-19 on cardiorespiratory control and baroreflex DOI Creative Commons
Beatrice Cairo, Francesca Gelpi, Vlasta Bari

et al.

BioMedical Engineering OnLine, Journal Year: 2025, Volume and Issue: 24(1)

Published: Feb. 3, 2025

Abstract Background Coronavirus disease 19 (COVID-19) patients might develop sequelae after apparent resolution of the infection. Autonomic dysfunction and baroreflex failure have been frequently reported. However, long-term effect COVID-19 on cardiorespiratory cardiovascular neural controls has not investigated with directional approaches able to open closed-loop relationship between physiological variables. Methods A model-based causal spectral approach, namely squared coherence (CK 2 ), was applied beat-to-beat variability series heart period (HP) systolic arterial pressure (SAP), respiratory signal (RESP) acquired at rest in supine position during active standing (STAND) survivors 9 months their hospital discharge. Patients were categorized according need ventilatory support hospitalization as individuals that had no continuous positive airway (noCPAP, n = 27), sub-intensive care unit (CPAP, 14) invasive mechanical ventilation intensive (IMV, 8). Results The expected decrease strength HP-RESP dynamic interactions well increase dependence HP SAP along STAND observed this result held regardless severity disease, noCPAP, CPAP IMV cohorts. Regardless experimental condition, causality markers did vary across groups either. Conclusions CK markers, association an orthostatic challenge, characterize impairment control long acute infection could be exploited monitor evolution

Language: Английский

Citations

0
The impact of long COVID on heart rate variability: a cross-sectional study DOI Creative Commons

Minyu Qin,

Kwan Lee, Seok‐Ju Yoo

et al.

BMC Infectious Diseases, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 24, 2025

Long-term COVID-19 (LC), which may affect the autonomic nervous system (ANS), is term for symptoms that some patients had an additional month after contracting virus. Therefore, during LC phase, ANS status was evaluated in with mild-to-moderate using heart rate variability (HRV), a measurement of function. A cross-sectional research 173 participants - both positive and negative – conducted. Based on self-reports, were classified as to whether they or not. 5-minute ECG recorder data detection response report used measure ANS. There notable age differences across groups (p = 0.034). Patients under 25 years lower HRV categorized very-low-frequency (VLF) domain 0.012). Compared group without LC, higher number people aberrant neuroactivity 0.048). Mild-to-moderate young middle develop dysfunction one infection.

Language: Английский

Citations

0
Effects of a Multimodal Immersive Virtual Reality Intervention on Heart Rate Variability in Adults with Post-COVID-19 Syndrome DOI Creative Commons
Neus Cano, Óscar Casas, Mar Ariza

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(8), P. 4111 - 4111

Published: April 8, 2025

Background: Post-COVID-19 syndrome (PCC) is characterized by autonomic nervous system (ANS) dysregulation. Reduced heart rate variability (HRV) serves as a biomarker for ANS function. Few studies have assessed HRV modulations over treatment in PCC patients. This study evaluates the effects of multimodal immersive virtual reality intervention—integrating cognitive training, physical exercise, and mindfulness practices—on parameters. Methods: Eighteen adults were assigned to reduced (16 sessions) extended (24 training. was using an electrocardiogram weight scale at baseline, mid-term, end intervention. Time-domain frequency-domain measures extracted. Results: No significant group-by-time interactions found. However, certain time-domain parameters showed changes time. Unexpectedly, decreased from baseline mid-intervention both groups, with recovery observed measures. Conclusions: The temporary reduction suggested that initial demands may temporarily induced physiological stress. subsequent restoration adaptation increased resilience. absence enhanced training suggests session intensity be more influential than number sessions modulating among

Language: Английский

Citations

0
Heart Rate Variability Applications in Medical Specialties: A Narrative Review DOI
Jennifer S. Addleman, Nicholas S. Lackey,

Margaret Tobin

et al.

Applied Psychophysiology and Biofeedback, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Language: Английский

Citations

0