The algorithm can be commercialized by physIQ, which develops options designed to enhance well being care outcomes by making use of synthetic intelligence to real-time physiological knowledge from wearable sensors.
The analysis was led by Craig Goergen, Purdue’s Leslie A. Geddes Associate Professor of Biomedical Engineering.
“Smartwatches are well-suited for the detection of early viral infection, including COVID-19,” Goergen mentioned.
“Infections can happen at any time, making the continuously tracked data available through an individual’s smartwatches uniquely suited to identify the earliest signs of illness. In particular, knowledge of a person’s usual heart rate and respiratory during sleep and activity over long periods of time is especially valuable for detecting subtle changes from normal.”
Study screens members utilizing physIQ app in contrast with ‘gold commonplace’ biosensor knowledge
The analysis concerned a examine of 100 members, together with Purdue college students, employees and college, to find out whether or not carrying a smartwatch to gather knowledge was sensible, unobtrusive and user-friendly. Each participant obtained a Samsung Galaxy smartwatch with a pre-loaded physIQ app to gather knowledge.
Along with the smartwatch, additionally they wore FDA-cleared adhesive chest-based biosensors to seize a single-lead electrocardiogram sign and a number of different parameters for 5 days of steady monitoring.
Goergen’s lab analyzed knowledge from the app remotely utilizing physIQ’s cloud-based accelerateIQ platform.
Data from the chest patches have been processed by physIQ’s U.S. Food and Drug Administration-cleared AI-based algorithms in deriving coronary heart charge, respiration charge and coronary heart charge variability. These knowledge served as “gold standard” references to check with knowledge from the smartwatches.
“The algorithms for enabling early detection are built off physiological features derived from the biosensor data collected by the smartwatches,” mentioned Stephan Wegerich, physIQ’s chief science officer.
“Generating accurate and robust physiological features forms the input to subsequent viral detection algorithms. This requires the development of sophisticated signal processing and machine learning algorithms. Combined, these make the most out of smartwatch biosensor data, which is a big part of our collaboration with Purdue.”
The viral an infection detection algorithm enhances physIQ’s different well being care purposes. The aim throughout all of physIQ’s purposes is the flexibility to characterize dynamic human physiology over time, whether or not it’s for assessing the efficacy of a brand new remedy, security monitoring throughout therapy or common wellness.
“The collaborative nature of our relationship and work with Purdue University has the potential to greatly expand physIQ’s physiological monitoring applications that can be targeted to a wide range of clinical needs using the pinpointIQ and accelerateIQ platforms,” mentioned Dr. Steve Steinhubl, physIQ’s chief medical officer and Purdue alumnus.
In January 2020, physIQ obtained $500,000 from Purdue Research Foundation’s Foundry Investment Fund to assist advance its expertise. In addition to this funding, three of physIQ’s leaders are Purdue alumni, together with co-founder and CEO Gary Conkright, Steinhubl and Chad Conkright, vice chairman of engineering.