Actigraphy is a non-invasive method of monitoring human rest/activity cycles. This is particularly useful for studying sleep disorders such as insomnia, circadian rhythm sleep disorders, and for monitoring the effectiveness of treatments for these conditions. Additionally, actigraphy is used in the study of physical activity and daytime activity patterns for various populations, contributing valuable data in research areas like epidemiology, psychology, and geriatrics.
Zwift integration now available.
Fitrockr has integrated the Zwift data format which allows upload and import of recorded activities from Zwift. On the Fitrockr platform, Zwift data can be combined with other data from wearables and surveys for analysis and coaching.
India Research Grant 2024 open for applications.
Fitrockr and Garmin support innovate research through grant programs that provide the tools to conduct health data research studies based on wearable data.
Fitrockr and Chronolife announce strategic partnership to advance wearable health technology use in research, patient monitoring and clinical trials
Fitrockr, the leading platform solution for wearable health data research, and Chronolife, an innovative medtech company providing smart textile wearables, have partnered to provide cutting-edge health data monitoring and analysis services.
Fitrockr at “The Future of Health & Healthcare” Stockholm Jan 24-25, 2024.
Meet Fitrockr at the Framtidens Hälso & Sjukvård (the Future of Health & Healthcare), Sweden’s biggest and best meeting place for everyone who leads, develops and manages any aspect of healthcare.
Enhanced BBI Measurement
The Fitrockr Health Solution platform implements “Enhanced BBI” which highly improves accuracy of measuring the time intervals between heartbeats.
Fitrockr and Mountain Biometrics Partner to Offer End-to-End Wearable Health Data Collection and Analysis
Fitrockr, the leading platform solution for wearable health data research, and Mountain Biometrics, a pioneer in wearable data analytics services, have partnered to provide an end-to-end solution for health data research customers, covering all steps from wearable data collection to tailor-made data analysis and interpretation.
Japanese App Version
The Fitrockr platform has been extended with multi language capabilities. The participant “Fitrockr Hub” app is now available in Japanese language on iOS and Android. This extends the already existing languages English and German.
Leiden University builds an early warning system for depression based on Fitrockr data analysis.
Fitrockr and Garmin support innovate research through grant programs that provide the tools to conduct health data research studies based on wearable data.
Fitrockr at Garmin Health Summit Singapore Nov 9-10, 2023.
Fitrockr and Garmin support innovate research through grant programs that provide the tools to conduct health data research studies based on wearable data.