ArmCoach4Stroke

2020

A stroke is a common and disabling disorder that often affects arm activities. After stroke intensive arm therapy is essential for gaining and retaining functional improvements. However, due to high costs, therapist shortages, patient burden, and adherence issues, intensive arm treatment is underutilized and will become increasingly challenging in the future. Therefore, there is an urgent need for sustainable, technology-supported, and motivating home-based treatment, with therapist supervision only when necessary.

The Focus
The multidisciplinary ArmCoach4Stroke project aims to develop and evaluate an interactive and innovative therapy aid using movement sensors to enhance daily arm use and exercise at home. This system provides personalized feedback to patients and therapists based on objective data, promoting tailored therapy outside clinical settings.

The Research
The ArmCoach4Stroke system consists of two sensor/feedback wrist units, additional exercise sensors, and a tablet application for real-time performance monitoring and therapist-defined exercises. The system is easy to use and patient friendly. Patients receive vibrotactile feedback to encourage arm usage (based on pre-set targets), while exercise exercise performance is quantified in quantity (e.g. numbers of repetitions) and quality metrics (e.g. speed). The summary data from daily activities and exercises are transmitted for remote monitoring, facilitating direct patient-therapist interaction and improving rehabilitation outcomes.

By collaborating with patients, therapists and other (end)users, ArmCoach4Stroke aims to optimize implementation in healthcare, filling a crucial gap in intensive arm therapy for stroke survivors and enhancing their daily function and quality of life. ArmCoach4Stroke makes rehabilitation care more efficient and sustainable for this vulnerable and growing group.

Origin
This project is funded within the Innovative Medical Devices Initiative (IMDI) program 'Heart for Sustainable Care'. The focus of this program is the development of medical technology for the earlier detection, monitoring, and better treatment of cardiovascular diseases to ensure accessible healthcare and sufficient staffing. The program has been developed en funded by the Dutch Heart Foundation, ZonMw and NWO, who collaborate within the Dutch CardioVascular Alliance.

Funded

Contact person:

Dr. J.B.J. Bussmann

Principal investigators

Dr. J.B.J. (Hans) Bussmann

Dr. G.R.H. (Ruben) Regterschot

g.r.h.regterschot@erasmusmc.nl

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The focus of this project is to develop a novel home-based exergaming system aimed at enhancing resistance to falls among individuals post-stroke. Preventing falls and fall-related injuries, minimizes healthcare utilization and societal costs and supports stroke survivors in maintaining independence in daily life.
The Research
The HEROES system is designed to target balance perturbations and improve stepping responses. It utilizes action observation and motor imagery techniques to personalize training for individuals with stroke. Stroke survivors will undergo a single training session in a rehabilitation center to practice recovering from real balance perturbations before using HEROES at home.
The effectiveness of the HEROES-system will be assessed through a proof-of-principle randomized controlled trial (RCT) involving 60 stroke survivors, evaluating its impact on fall resistance and balance enhancement post-stroke. The approach of involving stroke survivors sets HEROES clearly apart from the currently available home-based exergames, which uses ‘healthy’ people and lack the required personalization of different post-stroke individuals.
Origin
This project is funded within the Innovative Medical Devices Initiative (IMDI) program 'Heart for Sustainable Care'. The focus of this program is the development of medical technology for the earlier detection, monitoring, and better treatment of cardiovascular diseases to ensure accessible healthcare and sufficient staffing. The program has been developed en funded by the Dutch Heart Foundation, ZonMw and NWO, who collaborate within the Dutch CardioVascular Alliance.

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ECG project UMCU

2020

The correct interpretation of electrocardiograms (ECGs) is crucial for accurately diagnosing cardiac abnormalities. Current methods, both manual by physicians and computerized, have not achieved the level of accuracy comparable to cardiologists in detecting acute cardiac issues. Leveraging advancements in artificial intelligence and big data, particularly deep neural networks, offers promising avenues to improve ECG interpretation where traditional methods have fallen short. The ECG-Project develops deep learning algorithms to automate ECG interpretation, particularly focusing on areas where current methods are inadequate.
Through this research, we aim to revolutionize ECG interpretation, improving diagnostic accuracy, reducing healthcare resource utilization, and ultimately enhancing patient outcomes.
The Research
The project objectives are:

WP1: Creating an algorithm capable of accurately and swiftly triaging ECGs through transfer learning, uncovering features in diseases with unknown ECG characteristics (such as primary arrhythmia syndromes and genetic disorders).
WP2: design a portable multi-lead ecg-device, suitable for use by patients at home and healthcare professionals. This device will enable high-quality ECG acquisitions for rapid diagnosis.

Origin
This project is funded within the Innovative Medical Devices Initiative (IMDI) program 'Heart for Sustainable Care'. The focus of this program is the development of medical technology for the earlier detection, monitoring, and better treatment of cardiovascular diseases to ensure accessible healthcare and sufficient staffing. The program has been developed and funded by the Dutch Heart Foundation, ZonMw and NWO, who collaborate within the Dutch CardioVascular Alliance.

Learn more

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