An m-Health system for education and motivation in cardiac rehabilitation: the experience of HeartCycle guided exercise.

Introduction Home-based programmes for cardiac rehabilitation play a key role in the recovery of patients with coronary artery disease. However, their necessary educational and motivational components have been rarely implemented with the help of modern mobile technologies. We developed a mobile health system designed for motivating patients to adhere to their rehabilitation programme by providing exercise monitoring, guidance, motivational feedback, and educational content. Methods Our multi-disciplinary approach is based on mapping "desired behaviours" into specific system's specifications, borrowing concepts from Fogg's Persuasive Systems Design principles. A randomised controlled trial was conducted to compare mobile-based rehabilitation (55 patients) versus standard care (63 patients). Results Some technical issues related to connectivity, usability and exercise sessions interrupted by safety algorithms affected the trial. For those who completed the rehabilitation (19 of 55), results show high levels of both user acceptance and perceived usefulness. Adherence in terms of started exercise sessions was high, but not in terms of total time of performed exercise or drop-outs. Educational level about heart-related health improved more in the intervention group than the control. Exercise habits at 6 months follow-up also improved, although without statistical significance. Discussion Results indicate that the adopted design methodology is promising for creating applications that help improve education and foster better exercise habits, but further studies would be needed to confirm these indications.

Internet-based training of coronary artery patients: the Heart Cycle Trial.

Low adherence to cardiac rehabilitation (CR) might be improved by remote monitoring systems that can be used to motivate and supervise patients and tailor CR safely and effectively to their needs. The main objective of this study was to evaluate the feasibility of a smartphone-guided training system (GEX) and whether it could improve exercise capacity compared to CR delivered by conventional methods for patients with coronary artery disease (CAD). A prospective, randomized, international, multi-center study comparing CR delivered by conventional means (CG) or by remote monitoring (IG) using a new training steering/feedback tool (GEx System). This consisted of a sensor monitoring breathing rate and the electrocardiogram that transmitted information on training intensity, arrhythmias and adherence to training prescriptions, wirelessly via the internet, to a medical team that provided feedback and adjusted training prescriptions. Exercise capacity was evaluated prior to and 6 months after intervention. 118 patients (58 ± 10 years, 105 men) with CAD referred for CR were randomized (IG: n = 55, CG: n = 63). However, 15 patients (27 %) in the IG and 18 (29 %) in the CG withdrew participation and technical problems prevented a further 21 patients (38 %) in the IG from participating. No training-related complications occurred. For those who completed the study, peak VO2 improved more (p = 0.005) in the IG (1.76 ± 4.1 ml/min/kg) compared to CG (-0.4 ± 2.7 ml/min/kg). A newly designed system for home-based CR appears feasible, safe and improves exercise capacity compared to national CR. Technical problems reflected the complexity of applying remote monitoring solutions at an international level.

Diabetes care related process modelling using Process Mining techniques. Lessons learned in the application of Interactive Pattern Recognition: coping with the Spaghetti Effect.

Diabetes is one of the metabolic disorders with more growth expectations in next decades. The literature points to a correct self-management, to an appropriate treatment and to an adequate healthy lifestyle as a way to dramatically improve the quality of life of patients with diabetes. The implementation of a holistic diabetes care system, using rising information technologies for deploying cares based on the thesis of the Evidence-Based Medicine can be a effective solution to provide an adequate and continuous care to patients. However, the design and deployment of computer readable careflows is not a easy task. In this paper, we propose the use of Interactive Pattern Recognition techniques for the iterative design of those protocols and we analyze the problems of using Process Mining to infer careflows and how to how to cope with the resulting Spaghetti Effect.

Evaluation of a newly designed shirt-based ECG and breathing sensor for home-based training as part of cardiac rehabilitation for coronary artery disease.

BACKGROUND: Participation in phase-III cardiac rehabilitation (CR) remains low but adherence could potentially be improved with supervised home-based CR. New technological approaches are needed to provide sufficient supervision with respect to safety and performance of individual exercise programmes. DESIGN: The newly designed closed-loop tool, HeartCycle's guided exercise (GEX) system, will support professionals and patients during exercise-based CR. Patients wear a dedicated shirt with incorporated wireless sensors, and ECG, heart rate (HR), breathing frequency (BF), and activity are monitored during exercise. This information is streamed live to a mobile device (PDA) that processes these parameters. METHODS: A phase-I study was performed to evaluate feasibility, function, and reliability of this GEX device and compare it to conventional cardiac exercise testing (CPX, spiroergometry) in 50 patients (seven women, mean ± SD age 69 ± 9 years, body mass index 26 ± 3 kg/m(2), ejection fraction 58 ± 10%). ECG, HR, and BF were monitored using standard equipment and the GEX device simultaneously. Furthermore, HR recorded on the PDA was compared with CPX measurements. RESULTS: The fit of the shirt and the sensor was good. No technical problems were encountered. All occurring arrhythmia were reliably detected. There was an acceptable comparability between HR on the GEX device vs. CPX, a good comparability between HR on the PDA vs. CPX, and a moderate comparability between BF on the GEX device vs. CPX CONCLUSIONS: Comparability between CPX and the GEX device was acceptable for HR measurement and moderate for BF; arrhythmias were reliably detected. HR processing and display on the PDA was even better comparable. The whole system seems suitable for monitoring home-based CR. Further studies are now needed to implement training prescription to facilitate individual exercise.

HeartCycle: from insights to clinically evaluated ICT solutions for Telehealth.

HeartCycle is a large European Integrated Project (IP) and develops technologies and services for Telehealth, which is to remotely monitor and manage patients at home and motivate them to be compliant to treatment regimens and to a beneficial lifestyle. Telehealth allows healthcare professionals to better control the progress of the therapy, detect upcoming adverse events early and react in time with personalized care plan adjustments, leading to prevent relapses, stabilizing the patient and avoid costly hospitalizations.

An integrated advanced communication and coaching platform for enabling personalized management of chronic cardiovascular diseases.

Chronic cardiovascular diseases directly account for millions of deaths, billions of Euros and a big number of disabilities affecting the world's population. Even though primary and secondary prevention factors are well known, the awareness and the concern of citizens and patients is not big enough to cause a significant change in lifestyle that modifies the increasing trends. Patients and families, professionals and healthcare systems are not prepared to fight against this burden in an effective and aligned way. Some disease management programmes based on ICT solutions have and are currently being tested around the world but their relative impaction has been very limited. This paper proposes a new turn into Personal Health Systems applied to chronic disease management by increasing the capabilities for personalization, providing the patients with motivation and coaching support and enabling the work of the professionals with intelligent tools for strategic and clinical decision making based on the newest medical evidence.