scholarly journals A Wearable System with Embedded Conductive Textiles and an IMU for Unobtrusive Cardio-Respiratory Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3018
Author(s):  
Joshua Di Tocco ◽  
Luigi Raiano ◽  
Riccardo Sabbadini ◽  
Carlo Massaroni ◽  
Domenico Formica ◽  
...  
Keyword(s):  
Heart Rate ◽  
Remote Monitoring ◽  
Continuous Monitoring ◽  
Environmental Stressors ◽  
Wearable System ◽  
Feasibility Assessment ◽  
Pathological Conditions ◽  
Clinical Environments ◽  
Sensor Configuration ◽  
Occupational Settings

The continuous and simultaneous monitoring of physiological parameters represents a key aspect in clinical environments, remote monitoring and occupational settings. In this regard, respiratory rate (RR) and heart rate (HR) are correlated with several physiological and pathological conditions of the patients/workers, and with environmental stressors. In this work, we present and validate a wearable device for the continuous monitoring of such parameters. The proposed system embeds four conductive sensors located on the user’s chest which allow retrieving the breathing activity through their deformation induced during cyclic expansion and contraction of the rib cage. For monitoring HR we used an embedded IMU located on the left side of the chest wall. We compared the proposed device in terms of estimating HR and RR against a reference system in three scenarios: sitting, standing and supine. The proposed system reliably estimated both RR and HR, showing low error averaged along subjects in all scenarios. This is the first study focused on the feasibility assessment of a wearable system based on a multi-sensor configuration (i.e., conductive sensors and IMU) for RR and HR monitoring. The promising results encourage the application of this approach in clinical and occupational settings.

scholarly journals A multi-point heart rate monitoring using a soft wearable system based on fiber optic technology

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daniela Lo Presti ◽  
Francesca Santucci ◽  
Carlo Massaroni ◽  
Domenico Formica ◽  
Roberto Setola ◽  
...  
Keyword(s):  
Heart Rate ◽  
Continuous Monitoring ◽  
Cardiac Activity ◽  
Simultaneous Recording ◽  
The Body ◽  
Wearable System ◽  
Feasibility Assessment ◽  
Recent Developments ◽  
Sensor Configuration ◽  
Sensor Positioning

AbstractEarly diagnosis can be crucial to limit both the mortality and economic burden of cardiovascular diseases. Recent developments have focused on the continuous monitoring of cardiac activity for a prompt diagnosis. Nowadays, wearable devices are gaining broad interest for a continuous monitoring of the heart rate (HR). One of the most promising methods to estimate HR is the seismocardiography (SCG) which allows to record the thoracic vibrations with high non-invasiveness in out-of-laboratory settings. Despite significant progress on SCG, the current state-of-the-art lacks both information on standardized sensor positioning and optimization of wearables design. Here, we introduce a soft wearable system (SWS), whose novel design, based on a soft polymer matrix embedding an array of fiber Bragg gratings, provides a good adhesion to the body and enables the simultaneous recording of SCG signals from multiple measuring sites. The feasibility assessment on healthy volunteers revealed that the SWS is a suitable wearable solution for HR monitoring and its performance in HR estimation is strongly influenced by sensor positioning and improved by a multi-sensor configuration. These promising characteristics open the possibility of using the SWS in monitoring patients with cardiac pathologies in clinical (e.g., during cardiac magnetic resonance procedures) and everyday life settings.

External validation of a heart failure risk prediction model in a remote monitoring cohort submitted to cardiac resynchronization therapy

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
I Cardoso ◽  
M Coutinho ◽  
G Portugal ◽  
A Valentim ◽  
A.S Delgado ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
High Risk ◽  
Remote Monitoring ◽  
Hospital Admissions ◽  
External Validation ◽  
Left Ventricular Ejection ◽  
National Database ◽  
Failure Risk

Abstract Background Patients (P) submitted to cardiac ressynchronization therapy (CRT) are at high risk of heart failure (HF) events during follow-up. Continuous analysis of various physiological parameters, as reported by remote monitoring (RM), can contribute to point out incident HF admissions. Tailored evaluation, including multi-parameter modelling, may further increase the accuracy of such algorithms. Purpose Independent external validation of a commercially available algorithm (“Heart Failure Risk Status” HFRS, Medtronic, MN USA) in a cohort submitted to CRT implantation in a tertiary center. Methods Consecutive P submitted to CRT implantation between January 2013 and September 2019 who had regular RM transmissions were included. The HFRS algorithm includes OptiVol (Medtronic Plc., MN, USA), patient activity, night heart rate (NHR), heart rate variability (HRV), percentage of CRT pacing, atrial tachycardia/atrial fibrillation (AT/AF) burden, ventricular rate during AT/AF (VRAF), and detected arrhythmia episodes/therapy delivered. P were classified as low, medium or high risk. Hospital admissions were systematically assessed by use of a national database (“Plataforma de Dados de Saúde”). Accuracy of the HFRS algorithm was evaluated by random effects logistic regression for the outcome of unplanned hospital admission for HF in the 30 days following each transmission episode. Results 1108 transmissions of 35 CRT P, corresponding to 94 patient-years were assessed. Mean follow-up was 2.7 yrs. At implant, age was 67.6±9.8 yrs, left ventricular ejection fraction 28±7.8%, BNP 156.6±292.8 and NYHA class >II in 46% of the P. Hospital admissions for HF were observed within 30 days in 9 transmissions. Stepwise increase in HFRS was significantly associated with higher risk of HF admission (odds ratio 12.7, CI 3.2–51.5). HFRS had good discrimination for HF events with receiving-operator curve AUC 0.812. Conclusions HFRS was significantly associated with incident HF admissions in a high-risk cohort. Prospective use of this algorithm may help guide HF therapy in CRT recipients. Funding Acknowledgement Type of funding source: None

scholarly journals Remote monitoring of patients with heart failure during the first national lockdown for COVID-19 in France

2021 ◽  
Author(s):  
Sylvain Ploux ◽  
Marc Strik ◽  
Saer Abu-Alrub ◽  
F Daniel Ramirez ◽  
Samuel Buliard ◽  
...  
Keyword(s):  
Heart Failure ◽  
Health Care ◽  
Heart Rate ◽  
Remote Monitoring ◽  
Marked Decrease ◽  
Clinical Status ◽  
Health Care Use ◽  
Physiological Variables ◽  
Patients With Heart Failure ◽  
Vital Parameters

Abstract Background Multiparametric remote monitoring of patients with heart failure (HF) has the potential to mitigate the health risks of lockdowns for COVID-19. Aims To compare health care use, physiological variables, and HF decompensations during one month before and during the first month of the first French national lockdown for COVID-19 among patients undergoing remote monitoring. Methods Transmitted vital parameters and data from cardiac implantable electronic devices were analyzed in 51 patients. Medical contact was defined as the sum of visits and days of hospitalization. Results The lockdown was associated with a marked decrease in cardiology medical contact (118 days before vs 26 days during, -77%, p = 0.003) and overall medical contact (180 days before vs 79 days during, -58%, p = 0.005). Patient adherence with remote monitoring was 84±21% before and 87±19% during lockdown. The lockdown was not associated with significant changes in various parameters, including physical activity (2±1 to 2±1 h/day), weight (83±16 to 83±16 kg), systolic blood pressure (121±19 to 121±18 mmHg), heart rate (68±10 to 67±10 bpm), heart rate variability (89±44 to 78±46 ms, p = 0.05), atrial fibrillation burden (84±146 vs 86±146 h/month), or thoracic impedance (66±8 to 66±9 Ω). Seven cases of HF decompensations were observed before lockdown, all but one of which required hospitalization, versus six during lockdown, all but one of which were managed remotely. Conclusions The lockdown restrictions caused a marked decrease in health care use but no significant change in the clinical status of HF patients under multiparametric remote monitoring. lay summary The first French COVID-19 lockdown had a huge detrimental impact on conventional health care use (-78% in cardiology medical contact). However the lockdown had little impact over the short-term, if any, on vital parameters and the clinical status of patients with heart failure who were adherent to multiparametric remote monitoring. This remote monitoring strategy allowed early identification and home management of most of the heart failure decompensations during the lockdown.

scholarly journals The Influence ofNrf2on Cardiac Responses to Environmental Stressors

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Reuben Howden ◽  
Eva Gougian ◽  
Marcus Lawrence ◽  
Samantha Cividanes ◽  
Wesley Gladwell ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
High Frequency ◽  
Low Frequency ◽  
Therapeutic Strategies ◽  
Environmental Stressors ◽  
Total Power ◽  
Airborne Pollutants ◽  
Cardiac Responses

Nrf2protects the lung from adverse responses to oxidants, including 100% oxygen (hyperoxia) and airborne pollutants like particulate matter (PM) exposure, but the role ofNrf2on heart rate (HR) and heart rate variability (HRV) responses is not known. We hypothesized that genetic disruption ofNrf2would exacerbate murine HR and HRV responses to severe hyperoxia or moderate PM exposures.Nrf2-/-andNrf2+/+mice were instrumented for continuous ECG recording to calculate HR and HRV (low frequency (LF), high frequency (HF), and total power (TP)). Mice were then either exposed to hyperoxia for up to 72 hrs or aspirated with ultrafine PM (UF-PM). Compared to respective controls, UF-PM induced significantly greater effects on HR (P<0.001) and HF HRV (P<0.001) inNrf2-/-mice compared toNrf2+/+mice.Nrf2-/-mice tolerated hyperoxia significantly less thanNrf2+/+mice (~22 hrs;P<0.001). Reductions in HR, LF, HF, and TP HRV were also significantly greater inNrf2-/-compared toNrf2+/+mice (P<0.01). Results demonstrate thatNrf2deletion increases susceptibility to change in HR and HRV responses to environmental stressors and suggest potential therapeutic strategies to prevent cardiovascular alterations.

Nocturnal headache: systemic arterial pressure and heart rate during sleep

Cephalalgia ◽  
1983 ◽  
Vol 3 (1_suppl) ◽  
pp. 54-57 ◽  
Author(s):  
Fabio Cirignotta ◽  
Giorgio Coccagna ◽  
Tommaso Sacquegna ◽  
Emiliana Sforza ◽  
Giuseppe Lamontanara ◽  
...  
Keyword(s):  
Heart Rate ◽  
Arterial Pressure ◽  
Rem Sleep ◽  
Continuous Monitoring ◽  
Systemic Arterial Pressure ◽  
Fréquence Cardiaque ◽  
The Awakening ◽  
Sono Stati ◽  
Autonomic Instability ◽  
Polygraphic Recording

In order to evaluate autonomic nervous system changes occurring before nocturnal headache attacks, we studied three subjects (one male, two females) suffering from chronic migraine. All three patients underwent a nocturnal polygraphic recording including continuous monitoring of systemic arterial pressure and heart rate. Two subjects showed increases and irregularities of arterial pressure before awakening with headache. These changes began during N–REM sleep and lasted during REM sleep preceding the awakening with headache. Heart rate did not change before the attacks. These findings do not support the hypothesis that autonomic instability during REM sleep represents the precipitating factor of the attacks. On a étudié avec des méthodes polygrafiques trois sujets (1 homme et deux femmes) souffrant d'hémicranie chronique avec des crises nocturnes. Chez deux malades les crises étaient précédées d'augmentation et d'irrégularité de la tension artérielle. Ces modifications commençaient pendant le sommeil N-REM et contineaient pendant le sommeil REM qui précédait le réveil avec hémicranie. La fréquence cardiaque n'a pas subi de modification avant les crises. Les résultats obtenus ne confirment l'hypothèse selon laquelle le facteur causant les crises est l'instabilité anticronique à la fase REM. Sono stati studiati con metodiche poligrafiche 3 soggetti (1 maschio e 2 femmine) affetti da emicrania cronica con attacchi notturni. In 2 di essi gli attacchi erano preceduti da incrementi ed irregolarità della pressione arteriosa. Tali modificazioni iniziavano durante il sonno N-REM e perduravano nel corso del sonno REM che precedeva il risveglio con cefalea. La frequenza cardiaca non si modificava prima dell'attacco. I risultati ottenuti non confermano l'ipotesi che il fattore precipitante gli attacchi emicranici sia l'instabilità anticronica della fase REM.

scholarly journals Circadian Deregulation as Possible New Player in Pollution-Induced Tissue Damage

Atmosphere ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 116
Author(s):  
Mascia Benedusi ◽  
Elena Frigato ◽  
Cristiano Bertolucci ◽  
Giuseppe Valacchi
Keyword(s):  
Cardiovascular Diseases ◽  
Air Pollutants ◽  
Environmental Stressors ◽  
Common Mechanism ◽  
Particulate Matters ◽  
Circadian Misalignment ◽  
Pathological Conditions ◽  
Peripheral Clocks ◽  
Living Organisms ◽  
Almost All

Circadian rhythms are 24-h oscillations driven by a hypothalamic master oscillator that entrains peripheral clocks in almost all cells, tissues and organs. Circadian misalignment, triggered by industrialization and modern lifestyles, has been linked to several pathological conditions, with possible impairment of the quality or even the very existence of life. Living organisms are continuously exposed to air pollutants, and among them, ozone or particulate matters (PMs) are considered to be among the most toxic to human health. In particular, exposure to environmental stressors may result not only in pulmonary and cardiovascular diseases, but, as it has been demonstrated in the last two decades, the skin can also be affected by pollution. In this context, we hypothesize that chronodistruption can exacerbate cell vulnerability to exogenous damaging agents, and we suggest a possible common mechanism of action in deregulation of the homeostasis of the pulmonary, cardiovascular and cutaneous tissues and in its involvement in the development of pathological conditions.

scholarly journals Feasibility Assessment of Wearable Respiratory Monitors for Ambulatory Inhalation Topography

2021 ◽  
Vol 18 (6) ◽  
pp. 2990
Author(s):  
Shehan Jayasekera ◽  
Edward Hensel ◽  
Risa Robinson
Keyword(s):  
Risk Assessment ◽  
Heart Rate ◽  
Breathing Frequency ◽  
Exposure Risk ◽  
Analysis Software ◽  
Toxicant Exposure ◽  
Motion Data ◽  
Feasibility Assessment ◽  
Cardiopulmonary Performance ◽  
Exposure Risk Assessment

Background: Natural environment inhalation topography provides useful information for toxicant exposure, risk assessment and cardiopulmonary performance. Commercially available wearable respiratory monitors (WRMs), which are currently used to measure a variety of physiological parameters such as heart rate and breathing frequency, can be leveraged to obtain inhalation topography, yet little work has been done. This paper assesses the feasibility of adapting these WRMs for measuring inhalation topography. Methods: Commercially available WRMs were compiled and assessed for the ability to report chest motion, data analysis software features, ambulatory observation capabilities, participant acceptability, purchasing constraints and affordability. Results: The following WRMs were found: LifeShirt, Equivital EQ02 LifeMonitor, Smartex WWS, Hexoskin Smart Garment, Zephyr BioHarness, Nox T3&A1, BioRadio, SleepSense Inductance Band, and ezRIP & zRIP Durabelt. None of the WRMs satisfied all six assessment criteria in a manner enabling them to be used for inhalation topography without modification and development. Conclusions: The results indicate that there are WRMs with core technologies and characteristics that can be built upon for ambulatory inhalation topography measurement in the NE.

scholarly journals Dataset of raw and pre-processed speech signals

2020 ◽  
Author(s):  
Mohammed Usman ◽  
Zeeshan Ahmad ◽  
Mohd Wajid
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Deep Learning ◽  
Medical Device ◽  
Remote Monitoring ◽  
Speech Signals ◽  
Non Invasive ◽  
Speech Characteristics ◽  
Measure Heart Rate ◽  
Pulse Oxymeter

Heart rate is an important vital sign used in the diagnosis of many medical conditions. Conventionally, heart rate is measured using a medical device such as pulse oxymeter. Physiological parameters such as heart rate bear a correlation to speech characteristics of an individual. Hence, there is a possibility to measure heart rate from speech signals using machine learning and deep learning, which would also allow non-invasive, non contact based and remote monitoring of patients. However, to design such a scheme and verify its accuracy, it is necessary to collect speech recordings along with heart rates measured using a medical device, simultaneously during the recording

Remote monitoring of heart rate and ECG signal using ESP32

2021 ◽  
Author(s):  
Md Abdur Rahman ◽  
Yue Li ◽  
Tanzim Nabeed ◽  
Md Toufiqur Rahman
Keyword(s):  
Heart Rate ◽  
Remote Monitoring ◽  
Ecg Signal
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