Takanori Ikeda1. 1. Department of Cardiovascular Medicine, Toho University Faculty of Medicine, Japan.
Abstract
Remarkable progress has been seen in monitoring systems using noninvasive ambulatory electrocardiograms (ECGs). In the Holter ECG system, 12-channel formats have been utilized as diagnostic tools, particularly for the detection of transient or silent myocardial ischemia and dynamic electrical disorders. In patients diagnosed with cryptogenic stroke, despite negative results on standard ECG tests, continuous ambulatory ECG monitoring for up to 30 days has been shown to increase the detection rate of transient atrial fibrillation. At present, a waterproof Holter ECG system is available. Recently, continuous late potential measurements using the time domain method and frequency domain T-wave alternans using the spectral analysis method for 24 hours have been applied to the Holter ECG and developed as novel risk stratification markers. Wearable ECG monitors that are built into belts, vests, wristbands, adhesive patches, and mobile smartphones have been used as fitness products for athletes and healthcare products for the general population. In the future, such devices may be used as remote monitoring tools for the detection of arrhythmias.
Remarkable progress has been seen in monitoring systems using noninvasive ambulatory electrocardiograms (ECGs). In the Holter ECG system, 12-channel formats have been utilized as diagnostic tools, particularly for the detection of transient or silent myocardial ischemia and dynamic electrical disorders. In patients diagnosed with cryptogenic stroke, despite negative results on standard ECG tests, continuous ambulatory ECG monitoring for up to 30 days has been shown to increase the detection rate of transient atrial fibrillation. At present, a waterproof Holter ECG system is available. Recently, continuous late potential measurements using the time domain method and frequency domain T-wave alternans using the spectral analysis method for 24 hours have been applied to the Holter ECG and developed as novel risk stratification markers. Wearable ECG monitors that are built into belts, vests, wristbands, adhesive patches, and mobile smartphones have been used as fitness products for athletes and healthcare products for the general population. In the future, such devices may be used as remote monitoring tools for the detection of arrhythmias.
Ambulatory electrocardiogram (ECG) monitors are often used to detect, document, and characterize abnormal electrical activity during daily activities. (1) It should be emphasized that ambulatory ECG monitoring is noninvasive, easy to use, relatively inexpensive, and readily available compared to other medical devices. The latest progress in ambulatory ECG is remarkable. What was considered impossible just 10 years ago has now become possible. At present, Holter ECG recordings can be performed with 12-channel formats while taking a bath and can be used for up to 4 weeks of single-channel recording. Furthermore, specific markers analyzed using ambulatory ECG recordings have been used to predict future arrhythmic events.Recently, remote monitoring using continuous wearable recorders and mobile smartphones became available for application to general healthcare, but in the future, these devices may be able to be used to detect arrhythmias in symptomatic patients. Thus, modern ambulatory ECG monitors have numerous characteristics and advantages in daily clinical practice.In this review article, the current use and future needs with respect to noninvasive ambulatory ECG monitoring and techniques are introduced and discussed.
Application as a diagnostic tool for cardiac disorders
A conventional Holter ECG is generally used to diagnose and assess potential arrhythmias or conduction disturbances, but it is difficult to use as a diagnostic tool for cardiac disorders because the most common systems have only 2-3 channels. However, recently, the Holter system that has 12 channels was developed and used as a diagnostic tool (2). This system may be able particularly useful for diagnosing transient or silent myocardial ischemia and dynamic electrical disorders that occur occasionally and for a brief duration, such as Brugada syndrome. In fact, it has been reported that continuous or ambulatory 12-lead ECG monitoring has potential utility in the diagnosis of asymptomatic myocardial ischemia, identifying the location of ischemia or culprit coronary artery after peripheral vascular surgery (3), and for the detection of a typical ECG pattern of patients in whom Brugada syndrome is suspected (4,5).The novel Holter 12-lead ECG system makes use of 10 electrodes (Fig. 1), similar to the standard 12-lead ECG systems, and permits recording periods of up to 48 hours. A double-blinded study demonstrated that Holter 12-lead ECG recordings are not significantly different from those of a standard 12-lead ECG regarding measurements of ECG parameters but are more variable (6). In the future, Holter 12-lead ECG monitoring systems will be used in the evaluation of interventional therapeutic procedures and the effects of cardiovascular medicines. In addition, such monitoring might be useful for localizing the origin of ventricular tachyarrhythmias.
Use in identifying the cause of cryptogenic stroke
Recently, ambulatory ECG monitoring has been used to identify individuals with undiagnosed atrial fibrillation (AF) who may benefit from treatment to reduce their risk of serious adverse events. It is well known that AF is a main cause of ischemic stroke (cerebral embolism). The results of patients diagnosed with cryptogenic stroke or embolic stroke of undetermined source (ESUS) sometimes appear normal on standard ECG tests, including 24- to 48-hour Holter ECG monitoring. When continuous ambulatory ECG monitoring for a longer time is applied, the detection rate of transient (paroxysmal) AF is increased. In fact, it has been reported that ambulatory ECG monitoring (a dry-electrode belt monitor worn around the chest) with a 30-day recording period significantly improved the detection of AF in patients with ESUS (7). Recently, the mSToPS trial has revealed that the use of immediate home-based ECG monitoring (self-applied wearable patch ECG recorder) improved the detection rate of paroxysmal AF in individuals with risk factors for AF (8). In these patients, oral anticoagulation therapy is strongly recommended to prevent ischemic stroke caused by AF.However, as shown in recent studies (9,10), long-term ECG monitoring with an insertable cardiac monitor can achieve increased detection rates of undiagnosed AF.
Application while taking a bath or shower
Generally, patients are unable to take a bath or shower during ambulatory ECG recording. We previously reported that the majority of cardiac arrests occurred in patients’ residences, and about half of the events had occurred in the bathroom (11). This is even more prominent in elderly patients. Recently, a small waterproof Holter ECG monitor was developed and used in clinical practice (Fig. 2). This allowed patients the freedom to go about their daily routine, including bathing or showering, without interrupting daily cardiac monitoring. The use of waterproof ambulatory ECG systems should be considered if the patients have any symptoms in the bathroom. These devices would also be useful for risk management in competitive swimmers.
Application in risk stratification for serious cardiac events
Ambulatory (Holter) ECG may play a role in the assessment of the prognosis and risk stratification of various cardiac disorders. It is well known that heart rate variability (HRV), heart rate turbulence (HRT), and QT variability/dynamics evaluated using Holter ECG monitoring are risk stratification markers for cardiac mortality or arrhythmic events. In addition to these conventional markers, ventricular late potentials (LPs) and T-wave alternans (TWA) have also been measured using Holter ECG monitoring and used for risk stratification for serious cardiac events. These relatively new indices are introduced below.
LPs by signal-averaged ECGs using Holter ECG recordings
Ventricular LPs detected by signal-averaged ECGs (SAECGs), which reflect a conduction delay, have been widely utilized to detect high-risk individuals among patients with cardiac disorders, such as myocardial infarction (MI), Brugada syndrome (12), and arrhythmogenic right ventricular cardiomyopathy (ARVC) (13). Recently, it has become possible to monitor LP continuously for 24 hours using a newly developed SAECG system that is applied to ambulatory (Holter) ECG, now commercially available (14). LPs are analyzed automatically every 30 minutes over 24 hours using data from a digital Holter ECG recorder and are presented on a trend graph covering 24 hours (Fig. 3). Three parameters were assessed using a computer algorithm: the filtered QRS duration, the root mean square voltage of the terminal 40 ms of the filtered QRS complex, and the duration of low-amplitude signals (<40 μV) in the terminal, filtered QRS complex. Using this system, LP parameters are demonstrated with daily and dynamic variations in patients with Brugada syndrome but not in those with ARVC (15). Further prospective studies may be conducted to evaluate whether LP assessed over 24 hours is useful in risk stratification for arrhythmic events or sudden cardiac death (SCD) in some cardiac disorders, including Brugada syndrome, ARVC, and MI.
Figure 3.
Daily variations in LP parameters every 30 minutes over 24 hours using a newly developed Holter ECG-based signal-averaging system (SCM-6600®; Fukuda Denshi, Tokyo, Japan). A: Trend graph of filtered QRS duration, B: trend graph of root mean square voltage of the terminal 40 ms of the filtered QRS complex, C: trend graph of duration of low-amplitude signals (<40 μV) in the terminal, filtered QRS complex, D: negative LP determination at a time of 14: 10, Day 1, and E: positive LP determination at a time of 5: 10, Day 2.
Daily variations in LP parameters every 30 minutes over 24 hours using a newly developed Holter ECG-based signal-averaging system (SCM-6600®; Fukuda Denshi, Tokyo, Japan). A: Trend graph of filtered QRS duration, B: trend graph of root mean square voltage of the terminal 40 ms of the filtered QRS complex, C: trend graph of duration of low-amplitude signals (<40 μV) in the terminal, filtered QRS complex, D: negative LP determination at a time of 14: 10, Day 1, and E: positive LP determination at a time of 5: 10, Day 2.
TWA based on the frequency domain analysis of Holter ECG
TWA is a known risk stratification index for predicting SCD. TWA represents an increased disparity of repolarization in the ventricle on a beat-to-beat basis and may provide a substrate for ventricular fibrillation (16). Initially, microvolt TWA assessed by the spectral method during an exercise stress test was introduced as a marker to identify patients with an increased risk of arrhythmia events or SCD. The ambulatory (Holter) ECG-based TWA, quantified by the modified moving average method based on the time-domain algorithm, was then introduced as an alternative method of TWA measurement. Some studies support the clinical utility of these markers in risk stratification for arrhythmic events (17). Recently, the spectral analysis method based on the frequency domain TWA analysis of ambulatory ECG was developed as a novel risk stratification marker (Fig. 4). Using this methodology for identifying TWA, some studies have proposed the ability of Holter ECG-based TWA to identify groups at high risk of future ventricular tachyarrhythmias or cardiac mortality (18). Randomized large clinical studies may be conducted in the future to determine the utility of this marker in identifying patients at risk for serious cardiac events compared to other noninvasive ECG markers, such as HRV, HRT, and QT variability/dynamics.
Figure 4.
Trend graph of TWA using the spectral analysis method based on the frequency domain TWA analysis of every 128 beats over 24 hours using a newly developed 3-channel Holter ECG system (SCM-6600®; Fukuda Denshi, Tokyo, Japan). The upper square indicates the maximum TWA over 24 hours, and the lower square indicates the TWA when the maximum HR was seen.
Trend graph of TWA using the spectral analysis method based on the frequency domain TWA analysis of every 128 beats over 24 hours using a newly developed 3-channel Holter ECG system (SCM-6600®; Fukuda Denshi, Tokyo, Japan). The upper square indicates the maximum TWA over 24 hours, and the lower square indicates the TWA when the maximum HR was seen.
Clinical use of healthcare products
Arrhythmia is the leading cause of SCD not only in patients with organic heart disease but also in the general population. Recently, wearable ECG monitors that are built into belts, vests, wristbands (bracelets), or adhesive patches (Fig. 5) have been marketed as fitness products during exercise for athletes and as healthcare products for the general population. Mobile smartphones are also used to facilitate healthcare in the general population (19). Using an integrated sensor that interfaces with smartphones, it is possible to display and record ECGs (Fig. 6). In addition, devices are used to record ECGs via wearable monitoring devices, such as a wristband that has an external real-time cardiac telemonitoring system with wireless transmission. Recently, a wristband-watch that enables consumers to record a rhythm strip was launched (Fig. 7). This device may be able to assist in the self-diagnosis of arrhythmias.
Personal ECG monitoring using a smartphone for Android or iPhone (Kardia Mobile®; AliveCor, Mountain View, USA). Image: KMobile-Demo_Moment.jpg. https://www.alivecor.com. Accessed June 12, 2020. Used with the permission of AliveCor.
Figure 7.
Personal ECG monitoring using a wristband-watch for Apple Watch (Smart Watch Series 4®; Apple, Cupertino, USA). Image: 31847-original.jpg. https://www.wareable.com/apple/page/4. Accessed June12, 2020. Used according to legal-notice statement of Apple.
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