Related Experiment Video
Updated: Oct 22, 2025

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
Published on: December 11, 2019
User Perceptions and Experiences of a Handheld 12-Lead Electrocardiographic Device in a Clinical Setting: Usability
Kam Cheong Wong1,2,3,4, Aravinda Thiagalingam1,2,5, Saurabh Kumar1,2,5
1Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia.
Insights
Handheld 12-lead ECG devices show comparable reliability and usability to conventional machines. User-centered evaluations highlight features beneficial for mass screening and remote patient assessment.
Area of Science:
- Cardiology
- Medical Device Technology
- Human-Computer Interaction
Background:
- Cardiac arrhythmias, including atrial fibrillation, are a significant cause of mortality.
- 12-lead electrocardiography (ECG) is the standard for diagnosing arrhythmias and conduction disorders like prolonged corrected QT interval (QTc).
- Emerging handheld 12-lead ECG devices necessitate usability evaluations beyond laboratory settings, focusing on user experience for clinical integration.
Purpose of the Study:
- To evaluate clinician and patient perceptions and experiences with a handheld 12-lead ECG device compared to a conventional ECG machine.
- To assess the generalizability of a user-centered approach for evaluating new medical technologies.
- To identify key usability factors influencing the adoption of handheld ECG devices in clinical practice.
Main Methods:
- Integrated International Organization for Standardization Usability Guidelines and the Technology Acceptance Model.
- Conducted study in outpatient clinics and cardiology wards, involving 100 patients and 11 clinicians.
- Collected data on ECG acquisition times, electrocardiographic parameters (QTc, heart rate, etc.), and participant satisfaction surveys; clinician feedback was gathered through semistructured interviews.
Main Results:
- Handheld and conventional ECG devices demonstrated comparable reliability in QTc measurements (mean difference within ±15 ms, ICC 0.90-0.96) and agreement in diagnosing atrial fibrillation and prolonged QTc (κ=0.68-0.93).
- Clinicians' ECG acquisition efficiency improved with practice, and desired features included portability and wireless transmission.
- Patients reported comfort with both devices, and clinicians found the handheld device suitable for mass screening with improved training.
Conclusions:
- The handheld 12-lead ECG device is reliable and usable, comparable to conventional machines.
- A user-centered evaluation identified areas for efficiency improvement and desirable features for mass screening and remote assessment.
- This user-centered methodology can be applied to assess the acceptability and usability of novel medical devices.
Background:
Cardiac arrhythmias are a leading cause of death. The mainstay method for diagnosing arrhythmias (eg, atrial fibrillation) and cardiac conduction disorders (eg, prolonged corrected QT interval [QTc]) is by using 12-lead electrocardiography (ECG). Handheld 12-lead ECG devices are emerging in the market. In tandem with emerging technology options, evaluations of device usability should go beyond validation of the device in a controlled laboratory setting and assess user perceptions and experiences, which are crucial for successful implementation in clinical practice.
Objective:
This study aimed to evaluate clinician and patient perceptions and experiences, regarding the usability of a handheld 12-lead ECG device compared to a conventional 12-lead ECG machine, and generalizability of this user-centered approach.
Methods:
International Organization for Standardization Guidelines on Usability and the Technology Acceptance Model were integrated to form the framework for this study, which was conducted in outpatient clinics and cardiology wards at Westmead Hospital, New South Wales, Australia. Each patient underwent 2 ECGs (1 by each device) in 2 postures (supine and standing) acquired in random sequence. The times taken by clinicians to acquire the first ECG (efficiency) using the devices were analyzed using linear regression. Electrocardiographic parameters (QT interval, QTc interval, heart rate, PR interval, QRS interval) and participant satisfaction surveys were collected. Device reliability was assessed by evaluating the mean difference of QTc measurements within ±15 ms, intraclass correlation coefficient, and level of agreement of the devices in detecting atrial fibrillation and prolonged QTc. Clinicians' perceptions and feedback were assessed with semistructured interviews based on the Technology Acceptance Model.
Results:
A total of 100 patients (age: mean 57.9 years, SD 15.2; sex: male: n=64, female n=36) and 11 clinicians (experience acquiring ECGs daily or weekly 10/11, 91%) participated, and 783 ECGs were acquired. Mean differences in QTc measurements of both handheld and conventional devices were within ±15 ms with high intraclass correlation coefficients (range 0.90-0.96), and the devices had a good level of agreement in diagnosing atrial fibrillation and prolonged QTc (κ=0.68-0.93). Regardless of device, QTc measurements when patients were standing were longer duration than QTc measurements when patients were supine. Clinicians' ECG acquisition times improved with usage (P<.001). Clinicians reported that device characteristics (small size, light weight, portability, and wireless ECG transmission) were highly desired features. Most clinicians agreed that the handheld device could be used for clinician-led mass screening with enhancement in efficiency by increasing user training. Regardless of device, patients reported that they felt comfortable when they were connected to the ECG devices.
Conclusions:
Reliability and usability of the handheld 12-lead ECG device were comparable to those of a conventional ECG machine. The user-centered evaluation approach helped us identify remediable action to improve the efficiency in using the device and identified highly desirable device features that could potentially help mass screening and remote assessment of patients. The approach could be applied to evaluate and better understand the acceptability and usability of new medical devices.
More Related Videos
18:11A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
Published on: December 28, 2012
04:24A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
Related Concept Videos
Holter Monitor: 24-Hour Monitoring
Dysrhythmias V: Evaluating Dysrhythmias
Pulse rhythm
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
Electrocardiogram
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
Electrocardiogram Fundamentals
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
Cardiopulmonary Resuscitation III: AED Use