Cardiovascular diseases (CVD) represent a serious health problem worldwide, of which atrial fibrillation (AF) is one of the most common conditions. Early and timely diagnosis of CVD is essential for successful treatment. When implemented in the healthcare system this can ease the existing socio-economic burden on health institutions and government. Therefore, developing technologies and tools to diagnose CVD in a timely way and detect AF is an important research topic. ECG monitoring patches allowing ambulatory patient monitoring over several days represent a novel technology, while we witness a significant proliferation of ECG monitoring patches on the market and in the research labs, their performance over a long period of time is not fully characterized. This paper analyzes the signal quality of ECG signals obtained using a single-lead ECG patch featuring self-adhesive dry electrode technology collected from six cardiac patients for 5 days. In particular, we provide insights into signal quality degradation over time, while changes in the average ECG quality per day were present, these changes were not statistically significant. It was observed that the quality was higher during the nights, confirming the link with motion artifacts. These results can improve CVD diagnosis and AF detection in real-world scenarios.

Background: Accurate detection of myocardial ischemia and arrhythmias during free-living exercise could play a pivotal role in screening and monitoring for the prevention of exercise-related cardiovascular events in high-risk populations. Although remote electrocardiogram (ECG) solutions are emerging rapidly, existing technology is neither designed nor validated for continuous use during vigorous exercise. Objective: In this proof-of-concept study, we evaluated the usability, signal quality, and accuracy for arrhythmia detection of a single-lead ECG patch platform featuring self-adhesive dry electrode technology in individuals with chronic coronary syndrome. This sensor was evaluated during exercise and for prolonged, continuous monitoring. Methods: We recruited a total of 6 consecutive patients with chronic coronary syndrome scheduled for an exercise stress test (EST) as part of routine cardiac follow-up. Traditional 12-lead ECG recording was combined with monitoring with the ECG patch. Following the EST, the participants continuously wore the sensor for 5 days. Intraclass correlation coefficients (ICC) and Wilcoxon signed rank tests were used to assess the utility of detecting arrhythmias with the patch by comparing the evaluations of 2 blinded assessors. Signal quality during EST and prolonged monitoring was evaluated by using a signal quality indicator. Additionally, connection time was calculated for prolonged ECG monitoring. The comfort and usability of the patch were evaluated by a web-based self-assessment questionnaire. Results: A total of 6 male patients with chronic coronary syndrome (mean age 69.8, SD 6.2 years) completed the study protocol. The patch was worn for a mean of 118.3 (SD 5.6) hours. The level of agreement between the patch and 12-lead ECG was excellent for the detection of premature atrial contractions and premature ventricular contractions during the whole test (ICC=0.998, ICC=1.000). No significant differences in the total number of premature atrial contractions and premature ventricular contractions were detected neither during the entire exercise test (P=.79 and P=.18, respectively) nor during the exercise and recovery stages separately (P=.41, P=.66, P=.18, and P=.66). A total of 1 episode of atrial fibrillation was detected by both methods. Total connection time during recording was between 88% and 100% for all participants. There were no reports of skin irritation, erythema, or pain while wearing the patch. Conclusions: This proof-of-concept study showed that this innovative ECG patch based on self-adhesive dry electrode technology can potentially be used for arrhythmia detection during vigorous exercise. The results suggest that the wearable patch is also usable for prolonged continuous ECG monitoring in free-living conditions and can therefore be of potential use in cardiac rehabilitation and tele-monitoring for the prevention of exercise-related cardiovascular events. Future efforts will focus on optimizing signal quality over time and conducting a larger-scale validation study focusing on both arrhythmia and ischemia detection.

Background: In master athletes, atherosclerotic coronary artery disease (CAD) is the primary condition leading to major adverse cardiovascular events during sports. We report two cases of asymptomatic recreational athletes who suffered from an exercise-induced cardiovascular event. Case summary: The first athlete is a 70-year-old male speed skater without known history of cardiovascular disease. He has no typical risk factors for CAD and denied preceding symptoms. During training at the speed skating rink, he suddenly experienced severe chest pain. Electrocardiogram (ECG) showed ST-segment elevation in the precordial leads. In the ambulance, an episode of ventricular fibrillation was converted to atrial fibrillation. Coronary angiography showed a thrombus in the left anterior descending (LAD) coronary artery, treated with a glycoprotein IIb/IIIa inhibitor intravenously. The second athlete is a 59-year-old male endurance athlete who presented with chest pain during cycling. He had a history of cavotricuspid isthmus ablation and pulmonary vein isolation for paroxysmal atrial fibrillation and flutter but experienced no symptoms in the weeks prior to the event. He also had no risk factors for CAD. ECG showed ST-segment elevation in the inferior leads and reciprocal depression in V2–V4. Successful primary percutaneous intervention of the circumflex artery was performed. Discussion: Limited data are available to guide recommendations for cardiovascular screening in master athletes. Since master athletes with CAD are often asymptomatic, more knowledge on the optimal pre-participation screening algorithm for identifying individuals at risk of adverse cardiac events is required.

To define the user needs and preferences of the athletic population in cardiac (tele)rehabilitation (CTR). In this qualitative study, we included athletes with established coronary artery disease (CAD) who participated in a cardiac rehabilitation (CR) program and health care professionals involved in CR. All athletes engaged in sports for at least four hours per week. Fourteen male and one female athlete (mean age 63 ± 10.6 years) participated in CR after an acute coronary syndrome, percutaneous coronary intervention and/or coronary bypass surgery. The twelve healthcare professionals invited included cardiac nurse practitioners, cardiologists, sports physicians, physiotherapists, and a clinical psychologist. This study consists of four phases: a stakeholder identification session, twenty-five semi-structured individual interviews, six card-sorting focus groups and a data analysis phase with thematic analysis. User needs for athletes in CR encompass personalized exercise plans featuring clear and quantifiable exercise recommendations and limitations. Additionally, there is a need for monitoring health and exercise data; measuring progression and performance longitudinally; easy-to-use, and reliable healthcare information systems with accurate sensors and data; as well as clinical supervision and validation of information and data. Social support from both peers and family is also identified as a crucial need. The preferred technological features for a CTR system tailored for athletes include periodic digital consultations with clinicians, home-based training specific to one's sport, utilization of technology to monitor workouts, data sharing and remote feedback, personalized exercise recommendations and online educational materials. This research explored the user needs and preferences of athlete patients in CR. The findings indicated that enhancing CR for athletes necessitates a personalized and sport-specific methodology. The integration of various technological features within a CTR program can play a pivotal role in assisting athletes with CAD to maintain an active lifestyle and regain their previous athletic performance levels.

Background: Cardiac telerehabilitation (CTR) interventions can provide accessible and affordable remote rehabilitation services. However, as cardiac rehabilitation (CR) primarily targets inactive patients, little is known about the experiences with CR of highly active patients (ie, recreational athletes or, simply, athletes) with established coronary artery disease. Consequently, existing CTR interventions do not address the specific needs of the athletic subpopulation. Understanding the needs and values of athletes is crucial for designing meaningful CTR interventions that enhance user acceptance and engagement, thereby facilitating effective rehabilitation for this patient subgroup. Objective: This study aimed to inform the design of technologies that facilitate CTR for athletes. We intended to identify athletes’ values related to CR, including health and sports tracking, as well as high-level requirements for technologies that can facilitate the CTR of athletes according to the identified values. Methods: We used value-sensitive design with a human-centric design approach to elicit design requirements for CTR that can serve athletes with established coronary artery disease. To identify athletes’ values, we conducted 25 value-oriented semistructured interviews with 15 athletic patients and 10 health care professionals involved in CR programs. In a second phase, we conducted 6 card-sorting focus group sessions with 13 patients and 7 health care professionals to identify desired CTR features. Finally, we derived high-level CTR technology requirements connected to the athletes’ needs and values. Results: We defined 12 athlete values divided into 3 categories: body centric, care centric, and data and technology centric. We clustered findings from the card-sorting activity into CTR technology requirements, such as remotely monitored sport-specific training and training data representations next to clinical limitations, and paired them with corresponding values. Conclusions: Athletes have distinct values and health goals in CR compared to general populations targeted by CTR interventions. Designing patient-centric CTR interventions that address these needs is crucial to support optimal recovery, safe return to sports, and adherence to CTR technologies in the home environment.

Informal caregivers' engagement with patient data is becoming increasingly central to CSCW and HCI research on health management. Cardiac telerehabilitation (CTR) technologies generate lifestyle and well-being data that support patients and their families in recovery management, yet informal caregivers' roles in CTR remain underexplored. Recreational athletes in rehabilitation are an especially under-researched group, despite their and their support system's unique needs. Focusing on caregivers of recreational athletes, we conducted interviews with ten participants and used six visual scenarios of a dyadic CTR system to explore their perspectives on data and information co-participation. Caregivers reported that co-participation could strengthen dyadic coping and management but emphasized the need to balance important trade-offs. We provide design recommendations for dyadic CTR systems that balance care needs and preferences, promoting caregiver involvement in a supportive, non-supervisory role. We contribute to CSCW research by proposing a conceptual shift in technology-mediated rehabilitation care: positioning caregiver-inclusive CTR systems as negotiation tools that support boundary work and balance competing care values.