ECG Patch Monitors for Assessment of Cardiac Rhythm Abnormalities
Transcription
ECG Patch Monitors for Assessment of Cardiac Rhythm Abnormalities
PR O GRE S S I N C ARDI O VAS CU L AR D I S EAS E S 5 6 ( 2 0 13 ) 22 4–2 29 Available online at www.sciencedirect.com ScienceDirect www.onlinepcd.com ECG Patch Monitors for Assessment of Cardiac Rhythm Abnormalities S. Suave Lobodzinski⁎ Department of Electrical and Biomedical Engineering, California State University, Long Beach, CA, USA A R T I C LE I N FO AB S T R A C T Keywords: The primary goal of long-term monitoring is the improvement of diagnostic yield. Despite ECG patch monitors the clear utility of Holter monitoring in clinical cardiology, issues of relatively low Cardiac rhythm abnormalities diagnostic yield, cost and inconvenience have motivated the development of ultra- Atrial fibrillation portable devices referred to as ECG patch monitors. Although the “gold standard” for assessing cardiac rhythm abnormalities remains a 12-lead Holter, there is an increasing interest in portable monitoring devices that provide the opportunity for evaluating cardiac rhythm in real-world environments such as the workplace or home. To facilitate patient acceptance these monitors underwent a radical miniaturization and redesign to include wireless communication, water proofing and a patch carrier for attaching devices directly to the skin. We review recent developments in the field of “patch” devices primarily designed for very long-term monitoring of cardiac arrhythmic events. As the body of supporting clinical validation data grows, these devices hold promise for a variety of cardiac monitoring applications. From a clinical and research standpoint, the capacity to obtain longitudinal cardiac activity data by patch devices may have significant implications for device selection, monitoring duration, and care pathways for arrhythmia evaluation and atrial fibrillation surveillance. From a research standpoint, the new devices may allow for the development of novel diagnostic algorithms with the goal of finding patterns and correlations with exercise and drug regimens. © 2013 Elsevier Inc. All rights reserved. Indications for monitoring 2. Autonomic cardiac neuropathy associated with diabetes mellitus; or Cardiac monitoring may be necessary for diagnostic evaluation of patients with any of the following symptoms or conditions1: 3. Idiopathic hypertrophic or dilated cardiomyopathy. 1. The need to assess treatment effectiveness in individuals with baseline high frequency, reproducible, sustained, symptomatic premature ventricular complexes, supraventricular arrhythmias or ventricular tachycardia. 4. In individuals with pacemakers. a need to assess paroxysmal symptoms, myopotential inhibition, pacemaker medicated tachycardia, anti-tachycardia pacing device functioning, rate-responsive physiologic pacing function. 5. Symptoms suggestive of Prinzmetal's angina. 6. Post-myocardial dysfunction. infarction with left ventricular Statement of Conflict of Interest: see page 229. ⁎ Address reprint requests S. Suave Lobodzinski, PhD, Department of Electrical and Biomedical Engineering, California State University, Long Beach, CA 90840. E-mail address: [email protected]. 0033-0620/$ – see front matter © 2013 Elsevier Inc. All rights reserved. http://dx.doi.org/10.1016/j.pcad.2013.08.006 PR O G RE S S I N C ARDI O V A S CU L A R D I S EA S E S 5 6 (2 0 1 3) 22 4–2 2 9 Abbreviations and Acronyms ADC = Analog to Digital Converter AF = atrial fibrillation AFE = Analog Front-End ASIC = Application Specific Integrated Circuit BLE = Bluetooth Low Energy DSP = Digital Signal Processing ECG = electrocardiogram EPM = ECG patch monitor FDA = Federal Drug Agency Li-Pro = lithium polymer MCT = Mobile Cardiac Telemetry SoC = System on a Chip SPI = Peripheral Interface Data Bus ZEUS = Zio ECG Utilization Service 7. Symptoms consistent with rhythm disturbances (e.g., frequent palpitation, syncope, unexplained dizziness). Typically if any of the above conditions is encountered, Holter monitoring is used. However intermittent cardiac event monitors (i.e., external loop recorders) and external intermittent cardiac event monitors with real-time data transmission and analysis are considered medically necessary for any of the following conditions: 1. To document an arrhythmia in persons with a non-diagnostic Holter monitor, or in persons whose symptoms occur infrequently (less frequently than daily) such that the arrhythmia is unlikely to be diagnosed by Holter monitoring. 2. To document ST-segment depression for suspected ischemia. 3. To document the impact of initiating drug therapy for an arrhythmia. 4. To document the recurrence of an arrhythmia after discontinuation of drug therapy. 5. To document the results after an ablation procedure for arrhythmia. 6. To evaluate syncope and lightheadedness in persons with a non-diagnostic Holter monitor, or in persons whose symptoms occur infrequently (less frequently than daily) such that the arrhythmia is unlikely to be diagnosed by Holter monitoring. Current state of the art ECG patch monitoring technologies for assessment of cardiac rhythm abnormalities Ideally ECG path monitor (EPM) devices would combine the features of the present-day Holter and event/loop recorders with real-time data transmission and analysis capabilities. This is however not yet technologically possible. The present-day mix of FDA cleared EPMs are limited by their data acquisition capabilities (typically single-channel electrogram), adhesive materials that limit the device on-skin longevity and communication capabilities. Some EPM can be categorizes as a single- 225 lead “Holter-like devices,” exemplified by Zio Patch,2 some as post-symptom event recorders with data transmission and yet another as event/loop recorders with pre-symptom capabilities in addition to data transmission such as NUVANT.3 An overview of a typical EPM system architecture illustrates the technologies used in patch monitor designs. A typical ECG patch monitor (EPM) architecture is shown in Fig 1. The EPM be functionally divided into two subsystems. The first subsystem is responsible for processing of both analog and digital ECG data. It is implemented as a System on a Chip (SoC) self-contained processor, that has three primary constituents: an Analog Front-End (AFE) for ECG signal acquisition, amplification and filtering, a 12-bit Analog to Digital Converter (ADC) that converts the analog ECG signal into a digital format, and a custom Digital Signal Processing (DSP). DSP is responsible for various ECG processing tasks such as signal filtering, feature extraction, waveform analysis and motion artifact removal. The artifact removal is aided by an accelerometer, which provides time-dependent data on the patient's movements. Typically, fast and excessive motion triggers ECG measurement artifacts, often rendering the signal unreadable. DSP either ignores or heavily filters unreadable ECG segments when excessive motion is encountered. The second, SoC, is dedicated to wireless data transmission and features a low-power Bluetooth Low Energy (BLE) processor, which is responsible for transmitting the data from the. ECG SoC and accelerometer to a remote BLE enabled device, such as a smart phone, tablet or notebook computer. The two SoC subsystems are interconnected through a Serial Peripheral Interface Data Bus (SPI). Other EPM sensors that include three-axis accelerometer for patient activity monitoring and a MicroSD memory card for data logging are interfaced to the BLE SoC through a second SPI interface. The system is powered by two 3.7-V coin lithium polymer (LiPo) batteries with a total capacity of 400 mAh. ECG patch monitor data processing The ECG SoC is a sophisticated processor capable of real-time data processing tasks such as QRS and optimized R-wave detection. The QRS complex is detected using an algorithm based on derivative or band-power extraction. The accurate R peak value detection is accomplished by a continuous wavelet transform algorithm optimized for reduction of the motion artifacts. The data from the sensors can be sampled individually or simultaneously depending on the mode of operation. The power consumption of the EPM has been estimated to be 1 mA at 3.7 V during streaming of ECG data, heart rate and acceleration data simultaneously. Patient interface EPM electronics is attached to the skin via an adhesive carrier with embedded wet gel electrodes. In a typical present-day configuration, EPM may feature up to three ECG leads. The electrodes within the patch are closely spaced (about 80 mm) to facilitate the placement of the adhesive patch on the body 226 PR O GRE S S I N C ARDI O VAS CU L AR D I S EAS E S 5 6 ( 2 0 13 ) 22 4–2 29 Fig 1 – Hardware architecture of the ECG patch monitor4. surface as shown in Fig 3. The adhesive carrier is typically optimized to last up to 14 days on the skin. Clinical EPM devices A number of new EPM devices have recently been announced in various news releases, engineering conference proceedings or Web pages. We have restricted our review to two most representative examples—a ZIO Patch Recorder 2, which could be best categorized as a single-lead Holter and NUVANT/PiiX event recorder with a data transmission capability 3. Zio Patch can only continuously record the ECG data, while NUVANT/PiiX performs ECG analysis in real time, stores only the arrhythmic events and transmits some to the caregivers. Both devices that received FDA clearance are now commercially available to the healthcare providers worldwide. Unlike traditional ECG devices, the electrograms acquired from closely spaced EPM electrodes cannot be directly compared to any of the ECG leads in either standard 12-, Mason–Likar or EASI lead configurations5,6 commonly used in Holter monitoring. Rather, typical EPM signals from the left pectoral region closely resemble the data obtained by implantable devices, such as insertable loop recorder (Reveal Plus, Medtronic Corporation) as shown in Fig 2 and characterized by the narrower QRS complexes and suppressed signal morphology. response of Zio Patch is 0.15–34 Hz, input impedance is greater than 3 MOhm, differential range is ± 1.65 mV and the resolution is 10 bits. The Zio Patch uses a patch carrier that is placed on the left pectoral region. The patch does not require patient activation. However, a button on the patch can be pressed by the patient to mark a symptomatic episode. The manufacturer states that it is indicated for use in patients who may be asymptomatic or who may suffer from transient symptoms (e.g., anxiety, dizziness, fatigue, light headedness, palpitations, presyncope, shortness of breath, and syncope). At the end of the recording period, the patient mails back the patch in a prepaid envelope to a central monitoring station.8 A report is provided to the ordering physician within a few days. The Zio ECG Utilization Service (ZEUS) system is a comprehensive system that processes and analyzes received ECG data captured by long duration, single-lead, continuous recording diagnostic devices, such as the Zio Patch. The ZEUS Zio patch recorder According to the manufacturer (Zio Patch from iRhythm Technologies of San Francisco, CA7), it is a waterproof single-use, long-term cardiac rhythm monitor that provides continuous monitoring for up to 14 days (Fig 3). The Zio Patch is a single-channel EPM recorder with a memory of up to 14 days of stored rhythms. The frequency Fig 2 – A typical single-lead electrogram recording from the left pectoral region. The middle electrode is an equivalent to RL (body potential reference). PR O G RE S S I N C ARDI O V A S CU L A R D I S EA S E S 5 6 (2 0 1 3) 22 4–2 2 9 227 Fig 3 – ZIO Patch assembly and Company recommended placement on the body. system uses beat-by-beat QRS detection and a sophisticated rhythm analysis algorithm to detect up to 10 categories of rhythms. ZEUS runs on a cloud-computing platform and can be used to analyze up to 14 days of ECG data more rapidly and accurately than traditional systems. The data processed by the ZEUS algorithm are reviewed by a certified cardiographic technician to help ensure high accuracy and quality. iRhythm has received Food and Drug Administration (FDA) 510(k) clearance for both the Zio Patch, and the companion ZEUS algorithm and software system.9 NUVANT Mobile Cardiac Telemetry (MCT) system—system overview The NUVANT® Mobile Cardiac Telemetry (MCT) System is a patient-friendly, wireless-enabled arrhythmia monitor designed to support more effective and timely assessment of suspected non-lethal cardiac arrhythmias, such as atrial fibrillation, in ambulatory patients. It consists primarily of the PiiX® wearable monitoring device, the zLink® portable data transmission device and a Patient Trigger Magnet to enable on-demand collection of ECGs (recordings of heart rhythm). In combination with interpretation services provided by the Corventis Monitoring Center, as well as secure online access to data (for prescribing physicians only), NUVANT MCT enables patient- and physicianfriendly arrhythmia detection for up to 30 days at a time (Fig 4). NUVANT MCT utilizes the water-resistant, wireless and low-profile PiiX sensor to collect data and identify non-lethal cardiac arrhythmias. The sensor samples the ECG Signal at 200 Hz with a resolution of 10 bits. Each PiiX device lasts for up to 7.5 days. Patients in need of longer monitoring Fig 4 – An overview of the Corventis NUVANT/PiiX system. 228 PR O GRE S S I N C ARDI O VAS CU L AR D I S EAS E S 5 6 ( 2 0 13 ) 22 4–2 29 durations utilize multiple PiiX devices, in sequence (for up to 30 days). Once applied to the body, the PiiX sensor automatically activates, begins collecting data and starts monitoring for rhythm abnormalities.10 The device continuously monitors the heart and automatically transmits ECGs (single-lead) when the following rhythm abnormalities are detected: • Bradycardia ≤ 40 bpm • Pause ≥ 3 seconds • Atrial fibrillation • Ventricular tachycardia/ventricular fibrillation • Tachycardia HR > 130 bpm • A-Fib/A-Flutter (all rates) • Heart block—all degrees • Fall-associated arrhythmia capture Patients can also trigger collection and transmission of ECGs when they experience cardiac symptoms by using the Patient Trigger Magnet.11 Data collected by the PiiX device are automatically transmitted from the PiiX to the zLink using Bluetooth communication. The zLink, in turn, then automatically transmits the data to a secure, cloud-based application using cellular communication, from multiple geographical locations around the world. Certified cardiographic technicians at the Corventis Monitoring Center review received data using cloud-based application and document symptoms reported by patients. Clinical reports containing heart rate trends, Atrial fibrillation burden and ECGs are prepared by the Corventis Monitoring Center and delivered to provide data to prescribing physicians for assistance with the diagnosis and identification of various clinical conditions, events and/or trends. Prescribing physicians may also be contacted by the Corventis Monitoring Center directly when arrhythmias that meet certain predefined criteria are detected. The NUVANT Mobile Cardiac Telemetry System, Corventis, Inc. has been cleared by FDA under 510(k)12 and CE Mark. Other EPM devices currently in existence that include IMEC, V-Patch, CardioLeaf, Novosense and similar have been reviewed by Lobodzinski et al.13 Clinical experience with ECG patch monitors So far, the clinical outcomes and cost-effectiveness of extended cardiac monitoring by means of the Zio Patch, the ZEUS, NUVANT systems and similar devices have not been shown to be superior to other available approaches. Mittal et al.8 noted that “clinical experience [with the Zio Patch] is currently lacking.” The author stated that it is not known how well patients can tolerate the patch for 1 to 2 weeks, and whether the patch can yield a high-quality artifact-free ECG recording through the entire recording period. The authors stated, furthermore, that “the clinical implications of not having access to ECG information within the recording period need to be determined.” Documented clinical experience in the scientific literature with NUVANT is lacking at the present time. Rosenberg et al.14 compared the Zio Patch with a 24-hour Holter monitor in 74 consecutive patients with paroxysmal atrial fibrillation (AF) referred for Holter monitoring for detection of arrhythmias. The Zio Patch was well tolerated, with a mean monitoring period of 10.8 ± 2.8 days (range, 4–14 days). Over a 24-hour period, there was excellent agreement between the Zio Patch and Holter for identifying AF events and estimating AF burden. Although there was no difference in AF burden estimated by the Zio Patch and the Holter monitor, AF events were identified in 18 additional individuals, and the documented pattern of AF (persistent or paroxysmal) changed in 21 patients after Zio Patch monitoring. Other clinically relevant cardiac events recorded on the Zio Patch after the first 24 hours of monitoring, including symptomatic ventricular pauses, prompted referrals for pacemaker placement or changes in medications. As a result of the findings from the Zio Patch, 28.4% of patients had a change in their clinical management. The authors concluded that the Zio Patch was well tolerated, and allowed significantly longer continuous monitoring than a Holter, resulting in an improvement in clinical accuracy, the detection of potentially malignant arrhythmias, and a meaningful change in clinical management. Moreover, they stated that further studies are necessary to examine the long-term impact of the use of the Zio Patch in AF management. The study concluded that the promising data from this pilot study suggest that the Zio Patch device may represent a more convenient and efficient method of outpatient arrhythmia detection than current methods using Holter monitors, event recorders, or mobile cardiac outpatient telemetry. A second head-to-head randomized comparison for all symptomatic indications has just been completed, with results expected in late 2013. In another study, Turakhia et al.15 evaluated compliance, analyzable signal time, interval to arrhythmia detection, and diagnostic yield of the Zio Patch, in 26,751 consecutive patients. The mean wear time was 7.6 ± 3.6 days, and the median analyzable time was 99% of the total wear time. Among the patients with detected arrhythmias (60.3% of all patients), 29.9% had their first arrhythmia and 51.1% had their first symptomtriggered arrhythmia occur after the initial 48-hour period. Compared with the first 48 hours of monitoring, the overall diagnostic yield was greater when data from the entire Zio Patch wear duration were included for any arrhythmia (62.2% vs 43.9%, p < 0.0001) and for any symptomatic arrhythmia (9.7% vs 4.4%, p < 0.0001). For paroxysmal atrial fibrillation (AF), the mean interval to the first detection of AF was inversely proportional to the total AF burden, with an increasing proportion occurring after 48 hours (11.2%, 10.5%, 20.8%, and 38.0% for an AF burden of 51% to 75%, 26% to 50%, 1% to 25%, and <1%, respectively). The authors concluded that, extended monitoring with the Zio Patch for ≤14 days is feasible, with high patient compliance, a high analyzable signal time, and an incremental diagnostic yield beyond 48 hours for all arrhythmia types. Conclusions Although still considered experimental by some, long-term monitoring with the EPM for ≤ 14 days is feasible. Patch ECG Monitors offer patient-friendly, well-tolerated non-obtrusive, electrode and lead wire-free very long-term recording PR O G RE S S I N C ARDI O V A S CU L A R D I S EA S E S 5 6 (2 0 1 3) 22 4–2 2 9 capabilities. These new devices allowed significantly longer continuous monitoring than a Holter, resulting in an improvement in clinical accuracy, the detection of potentially malignant arrhythmias, and a meaningful change in clinical management. Further studies are necessary to examine the long-term impact of the use of EPM in AF and other arrhythmia management. As EPM devices get more popular in the market place, we can expect the improvements in their functionality and capabilities. Statement of Conflict of Interest The author declare that there are no conflicts of interest. REFERENCES 1. Aethna Clinical Policy Bulletin: Cardiac Event Monitors. Number: 0073. http://www.aetna.com/healthcareprofessionals/index.html. 2. www.iRhythmtech.com. 3. www.corventis.com. 4. Altini M, Polito S, Penders J, Kim H. An ECG patch combining a customized ultra-low-power ECG SoC with Bluetooth low energy for long term ambulatory monitoring. Proceedings of Wireless Health II, October 10–1, 2011, San Diego, USA. 5. Mason R, Likar L. A new system of multiple leads exercise electrocardiography. Am Heart J. 1966;71:196-205. 229 6. Dower GE, Yakush A, Nazzal SB, Jutzy RV, Ruiz CE. Deriving the 12-lead electrocardiogram from four (EASI) electrodes. J Electrocardiol. 1988;21(Suppl):S182-7. 7. Higgins SL. A novel patch for heart rhythm monitoring: is the Holter monitor obsolete? Future Cardiol. 2013;9:325-33. 8. Mittal S, Movsowitz C, Steinberg JS. Ambulatory external electrocardiographic monitoring: focus on atrial fibrillation. J Am Coll Cardiol. 2011;58(17):1741-9. 9. U.S. Food and Drug Administration (FDA). Zio Patch Model Z100. Medical Magnetic Tape Recorder. 510(k) No. K090363. Rockville, MD: FDA; May 8, 2009. 10. Engel JM, Mehta V, Fogoros R, Chavan A. Study of arrhythmia prevalence in NUVANT Mobile Cardiac Telemetry system patients. Conf Proc IEEE Eng Med Biol Soc. 2012;2012: 2440-3. 11. Engel JM, Chakravarthy N, Katra RP, Mazar S, Libbus I, Chavan A. Estimation of patient compliance in application of adherent mobile cardiac telemetry device. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:1536-9. 12. U.S. Food and Drug Administration (FDA). NUVANT Mobile Cardiac Telemetry System. Arrhythmia Detector and Alarm. 510(k) No. K111917. Rockville, MD: FDA; August 8, 2011. 13. Lobodzinski SS, Laks MM. New devices for very long-term ECG monitoring. Cardiol J. 2012;19:210-4. 14. Rosenberg MA, Samuel M, Thosani A, Zimetbaum PJ. Use of a noninvasive continuous monitoring device in the management of atrial fibrillation: a pilot study. Pacing Clin Electrophysiol. 2013;36:328-33. 15. Turakhia MP, Hoang DD, Zimetbaum P, Miller JD, Froelicher VF, Kumar UN. Diagnostic utility of a novel leadless arrhythmia monitoring device. Am J Cardiol. 2013; 112:520-4.