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Remote Monitoring of Sympathovagal Imbalance During Sleep and Its Implications in Cardiovascular Risk Assessment: A Systematic Review.
Bioengineering (Basel)
October 2024
MoMiLab Research Unit, IMT School for Advanced Studies Lucca, 55100 Lucca, Italy.
Nocturnal sympathetic overdrive is an early indicator of cardiovascular (CV) disease, emphasizing the importance of reliable remote patient monitoring (RPM) for autonomic function during sleep. To be effective, RPM systems must be accurate, non-intrusive, and cost-effective. This review evaluates non-invasive technologies, metrics, and algorithms for tracking nocturnal autonomic nervous system (ANS) activity, assessing their CV relevance and feasibility for integration into RPM systems.
View Article and Find Full Text PDFWrist ballistocardiography and invasively recorded blood pressure in healthy volunteers during reclining bike exercise.
Front Physiol
May 2023
Department of Mechanical Engineering, Norwegian University of Science and Technology, Trondheim, Norway.
Ballistocardiogram (BCG) features are of interest in wearable cardiovascular monitoring of cardiac performance. We assess feasibility of wrist acceleration BCG during exercise for estimating pulse transit time (PTT), enabling broader cardiovascular response studies during acute exercise and improved monitoring in individuals at risk for cardiovascular disease (CVD). We also examine the relationship between PTT, blood pressure (BP), and stroke volume (SV) during exercise and posture interventions.
View Article and Find Full Text PDFUse of a Cardiac Scale to Predict Heart Failure Events: Design of SCALE-HF 1.
Circ Heart Fail
May 2023
Duke Clinical Research Institute (M.F., A.D.D.), Duke University School of Medicine, Durham, NC.
Background: There is a need for simple, noninvasive solutions to remotely monitor and predict worsening heart failure (HF) events. SCALE-HF 1 (Surveillance and Alert-Based Multiparameter Monitoring to Reduce Worsening Heart Failure Events) is a prospective, multicenter study that will develop and assess the accuracy of the heart function index-a composite algorithm of noninvasive hemodynamic biomarkers from a cardiac scale-in predicting worsening HF events.
Methods: Approximately 300 patients with chronic HF and recent decompensation will be enrolled in this observational study for model development.
Estimation of systolic blood pressure by Random Forest using heart sounds and a ballistocardiogram.
Sci Rep
October 2022
Department of Electrical and Computer Engineering, Autonomous University of Ciudad Juarez, 32310, Ciudad Juárez, Mexico.
Cuffless blood pressure measurement enables unobtrusive and continuous monitoring that can be integrated with wearable devices to extend healthcare to non-hospital settings. Most of the current research has focused on the estimation of blood pressure based on pulse transit time or pulse arrival time using ECG or peripheral cardiac pulse signals as proximal time references. This study proposed the use of a phonocardiogram (PCG) and ballistocardiogram (BCG), two signals detected noninvasively, to estimate systolic blood pressure (SBP).
View Article and Find Full Text PDFEvaluation of transit time-based models in wearable central aortic blood pressure estimation.
Biomed Phys Eng Express
March 2020
Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay.
Evidence suggests that central aortic blood pressure (CABP) may provide a more accurate prognosis of cardiovascular events than peripheral pressure. The capability of monitoring CABP in a continuous, wearable, unobtrusive way might have a significant impact on hypertension management. The purpose of this study is to experimentally explore whether a wearable device equipped with an electrocardiogram (ECG) and ballistocardiogram (BCG) acquisition system could be used to predict CABP.
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