Preventive Cardiology in the Hands of Empowered Patients (Timely).

M. Sc. Hendrik Schäfer

Organization

The TIMELY consortium, under the leadership of the University of Amsterdam, consists of 13 project members from all across Europe, working collaboratively to advance healthcare innovation through shared expertise and diverse perspectives.

Team

PD Dr. rer. nat. Boris Schmitz

Dmitris Gatsios

Dr. Carlos Peña Gil

Assoc. Prof. Hubert Scharnagl, PhD

Dr. Mirela Habibovic

Dr. Martin Schmidt

Prof. Dr. med. Frank C. Mooren

Prof. Dr. Willem J. Kop

Dr. Jos Bosch

M.E. Kleber

H. Malberg

J. Widdershoven

W. Maerz

D. Fotiadis

V. Tsakanikas

Project Description & Objectives

eHealth innovations allow the integration of artificial intelligence (AI) and IoT-devices to optimize personalized care and provide self-care assistance during cardiac rehabilitation (CR). TIMELY is the first AI-driven eHealth approach promoting targeted personalized lifestyle interventions. TIMELY includes continuous risk prediction, decision support tools and assists lifestyle changes based on psychosocial assessment and behavioral change models.

Data Collection Process

Patients were equipped with a Garmin Vivosmart 4 and collected data over a period of 6 months. Data was accessed via the Fitrockr API and displayed in a dashboard for clinicians and case manager and in a mobile app for the patients.

Fitrockr Utilization

Fitrockr was used to extract data from the Garmin Vivosmart devices. The data was then automatically sent via the Fitrockr API to the Timely clinician Dashboard and Timely patient mobile app.

Wearable Used

Garmin Vivosmart 4

Number of Participants

180

Duration

2 years

Metrics Collected

Daily Activity Data

Steps

Heart Rate

BBI

HRV

Stress

Activities

Sleep

Body Battery

Pulse Oxygen (SpO2)

Respiration

Zero Crossing

Fitrockr Sync Type

Sync via Fitrockr app on patient smartphone.

Ready to rock your project?

Fitrockr is a leading health and fitness data analytics platform that empowers organizations to connect, manage and analyze data from wearables. Designed for research, clinical studies, healthcare, coaching and fitness gamification, Fitrockr enables seamless integration of biometric and activity data, providing deep insights through advanced analytics, dashboards, reports and raw data downloads. Automated alerting, push notifications, surveys and outcome assessments support data collection. With a focus on data privacy, security, and local hosting options, Fitrockr supports global institutions in transforming raw health data into actionable outcomes. Learn more at www.fitrockr.com.