The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review

Li, Ka Hou Christien; White, Francesca Anne; Tipoe, Timothy; Liu, Tong; Wong, Martin C. S.; Jesuthasan, Aaron; Baranchuk, Adrián; Tse, Gary; Yan, Bryan P.

doi:10.2196/11606

Cited by 141 publications

(116 citation statements)

References 116 publications

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“…Comparing with the existing methods [22][23][24][25][26][27][28][29] to detect AF, the proposed method does not require complex numerical tools such as RdR maps [22] or Receiver Operating Characteristic (ROC) curves [25,28]. It also does not require computationally intensive algorithms [23,27] or probability-based data adaptive techniques [24], community-based screening [25], or mobile phone apps [29]. Instead, this research work focused on developing a noninvasive method to detect AF in a home setting based on low cost data acquisition hardware and low demand for computing power.…”

Section: Discussionmentioning

confidence: 99%

Early Detection of Atrial Fibrillation Based on ECG Signals

Ahmed

Zhu

2020

Bioengineering

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Atrial fibrillation, often called AF is considered to be the most common type of cardiac arrhythmia, which is a major healthcare challenge. Early detection of AF and the appropriate treatment is crucial if the symptoms seem to be consistent and persistent. This research work focused on the development of a heart monitoring system which could be considered as a feasible solution in early detection of potential AF in real time. The objective was to bridge the gap in the market for a low-cost, at home use, noninvasive heart health monitoring system specifically designed to periodically monitor heart health in subjects with AF disorder concerns. The main characteristic of AF disorder is the considerably higher heartbeat and the varying period between observed R waves in electrocardiogram (ECG) signals. This proposed research was conducted to develop a low cost and easy to use device that measures and analyzes the heartbeat variations, varying time period between successive R peaks of the ECG signal and compares the result with the normal heart rate and RR intervals. Upon exceeding the threshold values, this device creates an alert to notify about the possible AF detection. The prototype for this research consisted of a Bitalino ECG sensor and electrodes, an Arduino microcontroller, and a simple circuit. The data was acquired and analyzed using the Arduino software in real time. The prototype was used to analyze healthy ECG data and using the MIT-BIH database the real AF patient data was analyzed, and reasonable threshold values were found, which yielded a reasonable success rate of AF detection.

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Section: Discussionmentioning

confidence: 99%

Early Detection of Atrial Fibrillation Based on ECG Signals

Ahmed

Zhu

2020

Bioengineering

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“…Heart rate can be accurately monitored using contact photoplethysmography (PPG) (contact of fingertip with built-in camera) or non-contact PPG, whereby the camera is used to measure changes in the volume of the surface of the body (e.g. Li et al 2019;Maestre-Rendon et al 2020). Most families have access to a smartphone or fitness watch, therefore home-monitoring of heart rate is currently a feasible option.…”

Section: Physical Examinationmentioning

confidence: 99%

ADHD and Covid-19: current roadblocks and future opportunities

McGrath

2020

Ir. j. psychol. Med.

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Attention Deficit Hyperactivity Disorder is the commonest disorder presenting to Child and Adolescent Mental Health Services in Ireland. ADMiRE is a specialist ADHD service in South Dublin that provides assessment and intervention for >200 children and adolescents with ADHD. The first section of this article considers the impact of the Covid-19 pandemic on the provision of mental health services for young people with ADHD with specific reference to the difficulties that have been experienced in ADMiRE since the outbreak of Covid-19 in Ireland. In ADMiRE, there has been a significant reduction of face to face consultations, postponement of new assessments, difficulties with physical monitoring, delays in medication initiation, suspension of medication titration, lack of group interventions and problems with access to controlled drug prescriptions. Current guidelines and alternative ways of ensuring adequate service provision are discussed. Restrictions to mitigate the spread of Covid-19 are likely to continue for many months, and child and adolescent mental health services need to find new ways to provide a sustainable service to young people in Ireland. There is a growing evidence base for telepsychiatry, the use of technology such as video conferencing to deliver mental health care remotely, and this approach may be particularly useful in assessment and management of ADHD. The second section of this article discusses the evidence base for telepsychiatry in ADHD, and outlines factors that should be considered when developing a telepsychiatry service for children and adolescents with ADHD.

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“…However, the feasibility of recording a 3-lead ECG with the Apple Watch Series 4 was reported in only one case report of two patients with myocardial infarction [ 7 ], a technical report [ 12 ], and three observational studies from a same group of investigators [ 13 , 14 , 15 ]. The other available studies were related to the other capabilities of smart wearables, ranging from screening and diagnostic to treatment functions, using other technologies, namely photoplethysmography (PPG) [ 4 , 5 , 16 , 17 , 18 , 19 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Feasibility and Reliability of SmartWatch to Obtain 3-Lead Electrocardiogram Recordings

Behzadi

Shamloo

Mouratis

et al. 2020

Sensors

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Some of the recently released smartwatch products feature a single-lead electrocardiogram (ECG) recording capability. The reliability of obtaining 3-lead ECG with smartwatches is yet to be confirmed in a large study. This study aimed to assess the feasibility and reliability of smartwatch to obtain 3-lead ECG recordings, the classical Einthoven ECG leads I-III compared to standard ECG. To record lead I, the watch was worn on the left wrist and the right index finger was placed on the digital crown for 30 s. For lead II, the watch was placed on the lower abdomen and the right index finger was placed on the digital crown for 30 s. For lead III, the same process was repeated with the left index finger. Spearman correlation and Bland-Altman tests were used for data analysis. A total of 300 smartwatch ECG tracings were successfully obtained. ECG waves’ characteristics of all three leads obtained from the smartwatch had a similar duration, amplitude, and polarity compared to standard ECG. The results of this study suggested that the examined smartwatch (Apple Watch Series 4) could obtain 3-lead ECG tracings, including Einthoven leads I, II, and III by placing the smartwatch on the described positions.

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The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review

Cited by 141 publications

References 116 publications

Early Detection of Atrial Fibrillation Based on ECG Signals

Early Detection of Atrial Fibrillation Based on ECG Signals

ADHD and Covid-19: current roadblocks and future opportunities

Feasibility and Reliability of SmartWatch to Obtain 3-Lead Electrocardiogram Recordings

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