Shimmer Research, a global leader in wearable technology for research applications, on 12 Sep 2019, announced the launch of a healthcare industry open source initiative for wearable sensor algorithms. The initiative is being co-founded by Shimmer, Dr Vincent van Hees, author of the GGIR software and algorithms for movement sensor calibration, sensor wear detection, and signal aggregation, and Nextbridge Health, which is developing the Nextbridge Exchange, an online marketplace and discovery platform for the clinical research community.
Wearable sensors have the potential to revolutionize clinical trials and medicine in general by enabling continuous, real-world data to be included in clinical and post-marketing studies. They allow occasional and often subjective measures of health to be replaced with continuous, objective measures. But the lack of accepted clinical endpoints is proving to be a major impediment to the widespread adoption of wearable sensors in clinical trials.
This new initiative seeks to develop a curated set of open source algorithms and software tools for analyzing wearable sensor data that will be available to all medical device and pharmaceutical companies in a pre-competitive environment as a service to the industry. It will allow the work conducted by thousands of researchers during the past decade to be leveraged to create commonly-accepted de facto industry standards.
“We are excited to be working with Dr. Vincent van Hees and Nextbridge on this initiative. Vincent’s GGIR platform sets the standard for open source algorithms in terms of usability, documentation, and validation. More than 80 peer-reviewed studies involving almost 200,000 participants have used GGIR. When we searched for algorithms to power our Verisense™ wearable sensor platform for clinical trials, nothing came close to GGIR,” said Geoffrey Gill, president of Shimmer Americas.
