The usefulness of opportunistic arrhythmia screening strategies, using an electrocardiogram (ECG) or other methods for random "snapshot" assessments is limited by the unexpected and occasional nature of arrhythmias, leading to a high rate of missed diagnosis. We have previously validated a cardiac monitoring system for AF detection pairing simple consumer-grade Bluetooth low-energy (BLE) heart rate (HR) sensors with a smartphone application (RITMIA™, Heart Sentinel srl, Italy). In the current study, we test a significant upgrade to the above-mentioned system, thanks to the technical capability of new HR sensors to run algorithms on the sensor itself and to acquire, and store on-board, single-lead ECG strips. We have reprogrammed an HR monitor intended for sports use (Movensense HR+) to run our proprietary RITMIA algorithm code in real-time, based on RR analysis, so that if any type of arrhythmia is detected, it triggers a brief retrospective recording of a single-lead ECG, providing tracings of the specific arrhythmia for later consultation. We report the initial data on the behavior, feasibility, and high diagnostic accuracy of this ultra-low weight customized device for standalone automatic arrhythmia detection and ECG recording, when several types of arrhythmias were simulated under different baseline conditions. Conclusions: The customized device was capable of detecting all types of simulated arrhythmias and correctly triggered a visually interpretable ECG tracing. Future human studies are needed to address real-life accuracy of this device.
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http://dx.doi.org/10.3390/diagnostics12030712 | DOI Listing |
Sports Med
January 2025
Department of Sport Science and Physical Education, Faculty of Health and Sport Sciences, University of Agder, Kristiansand, Norway.
Background: Endurance athletes tend to accumulate large training volumes, the majority of which are performed at a low intensity and a smaller portion at moderate and high intensity. However, different training intensity distributions (TID) are employed to maximize physiological and performance adaptations.
Objective: The objective of this study was to conduct a systematic review and network meta-analysis of individual participant data to compare the effect of different TID models on maximal oxygen uptake (VO) and time-trial (TT) performance in endurance-trained athletes.
Bipolar Disord
January 2025
Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Objective: Individuals with bipolar disorder are at greater risk of developing cardiovascular disease. However, the mechanisms underlying this association remain poorly understood. This study aimed to (1) determine the risk of major adverse cardiovascular events (MACE) after adjusting for important confounders and (2) evaluate the neural, autonomic, and immune mechanisms underlying the link between bipolar disorder and cardiovascular disease.
View Article and Find Full Text PDFAims: Large-scale, real-world data on early initiation of sacubitril/valsartan in patients newly diagnosed (de novo) with HF with reduced ejection fraction (HFrEF) are limited. We examined the effectiveness of sacubitril/valsartan versus angiotensin-converting enzyme inhibitor (ACEi)/angiotensin receptor blocker (ARB) on all-cause and cause-specific hospitalizations among patients with de novo HFrEF from the Optum® dataset in the United States.
Methods: This retrospective cohort study included adult patients with de novo HFrEF (diagnosed ≤30 days) with left ventricular ejection fraction (LVEF) ≤40% who were first prescribed with sacubitril/valsartan or ACEi/ARB from 1 January 2016 to 31 March 2020.
Exp Physiol
January 2025
Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
This study investigated how contraction frequency impacts the mechano-energetics of cardiac muscle performing mechanical work. Left-ventricular trabeculae were isolated from rat hearts and mounted in our work-loop calorimeter to assess their function at physiological temperature (37°C) across three stimulation frequencies, 2 Hz, 3.5 Hz and 5 Hz, in a randomised sequence.
View Article and Find Full Text PDFAnn Noninvasive Electrocardiol
March 2025
Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden.
Background: Arterial stiffness, measured using carotid-femoral pulse wave velocity (c-f PWV) and heart rate-corrected augmentation index (Aix75), is associated with cardiovascular disease, and in some studies incident atrial fibrillation (AF). In this cross-sectional study, we aimed to investigate whether arterial stiffness is associated with markers of atrial myopathy, which refers to structural and electrical changes in the atria that indicate increased AF risk.
Methods: We included 1050 participants (age 57 ± 4.
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