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The diagnosis of AF requires an electrocardiogram (ECG) showing irregular R-R intervals (when atrioventricular conduction is not impaired) and the absence of distinct repeating P waves [4].
Historically, ECG diagnostics were confined to medical settings, using devices administered or prescribed by health care professionals. However, the 21st century has witnessed a rapid surge in the availability and use of consumer-oriented wearable devices (CWDs) capable of monitoring heart rhythm [5-8].
JMIR Form Res 2025;9:e65139
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Although not statistically significant, an increase of 2.23 m L kg-1 min-1 in peak VO2 was seen between baseline and end-of-study for the low-response group (14/44, 32%, P=.10).
J Med Internet Res 2020;22(5):e17326
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Thoracic impedance data showed an inverse relationship with fluid status for a representative patient with combined HF (Figure 2) and with isolated left-sided HF (Figure 3) during hospital admission, also visible by the observed strong correlation coefficients (rs>0.700, P
Relationship between thoracic impedance at 80 k Hz (R80k Hz; black triangles) and fluid balance (blue squares) for a representative patient admitted with combined heart failure.
JMIR Cardio 2020;4(1):e12141
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No significant differences were observed in the number of patients on guideline-recommended maximum β-blocker dose in the Cardio Coach intervention group when compared with the usual care control group at both 3 months (43% vs 40%, P>.99) and 6 months (50% vs 40%, P=.69) of follow-up (Figure 3).
Additionally, in terms of ACE-I uptitration, no significant differences were observed at both 3 months (43% vs 40%, P>.99) and 6 months (42% vs 40%, P>.99) of follow-up (Figure 3).
JMIR Cardio 2018;2(1):e8
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Prenatal Remote Monitoring of Women With Gestational Hypertensive Diseases: Cost Analysis
The baseline clinical characteristics of the population enrolled were almost homogeneous, without differences between the two groups except for primigravida (44%, 19/43) in the remote monitoring group versus 66% (65/97) in the conventional care group (P=.02) and smoking (0%, 0/43) in the remote monitoring group versus 10%, (10/97) in the conventional care group (P=.03).
Baseline clinical characteristics (N=140).
The health care costs are presented in Table 2.
J Med Internet Res 2018;20(3):e102
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Metadata Correction: Clinical Validation of Heart Rate Apps: Mixed-Methods Evaluation Study
The authors of “Clinical Validation of Heart Rate Apps: Mixed-Methods Evaluation Study” (JMIR Mhealth Uhealth 2017;5(8):e129) overlooked crediting Christophe Mortelmans, Ruth Van Haelst, and Bert Vaes as authors when metadata was entered into the submission system. They are researchers (described in the paper as general practitioners) with the Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.
JMIR Mhealth Uhealth 2018;6(3):e19
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A bioimpedance alert is triggered when the daily impedance is lower than the reference impedance for a programmable duration known as the congestion trigger (ie, nominal 13 days for ICDs, 14 days for CRT-D, and 16 days for CRT-P) [15]. In our study, the default congestion trigger settings were used.
J Med Internet Res 2017;19(11):e393
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Clinical Validation of Heart Rate Apps: Mixed-Methods Evaluation Study
The results indicate no significant difference (P=.61) between the HRs measured by the 3 different devices.
Results show high correlations without significant differences for all device pairs. However, since correlation does not necessarily imply agreement, Bland-Altman plots were constructed to evaluate agreement between each pair of devices (Figure 8).
The mean bias ranged from 0.29 bpm (Nonin–Alive Cor) to 1.42 bpm (Fibri Check–Alive Cor) and 1.72 bpm (Fibri Check–Nonin).
JMIR Mhealth Uhealth 2017;5(8):e129
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Remote Monitoring of Hypertension Diseases in Pregnancy: A Pilot Study
JMIR Mhealth Uhealth 2017;5(3):e25
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