Spry Health is taking action to help patients with chronic illnesses continue with their daily routine. The company is giving patients an ambulatory wristband designed to collect a dataset of physiological identifiers on people who suffer from chronic illness. Initially, Spry Health is providing 100 Loop wristbands and consulting services to health researchers.
The Loop System uses machine learning to contextualize data and identify early signs of physiological deterioration prior to noticeable symptoms. The band is constantly collecting vital signs and physiologic biomarkers that is relayed to Spry’s software analytics platform. When the information is sent to Spry’s software, doctors get constant updates and data on patients wearing the Loop bands.
These Loop bands will give doctors an opportunity to collect relevant data from patients throughout the day and night on human health and disease progression. With optical sensors located on the band, Loop bands will capture blood pressure, pulse oximetry, heart rate and respiration rate. Essentially, the sensors use light imaging to capture images of the arterial blood flow in the wrist to measure vital signs, biomarkers and pulse wave velocity.
“We are excited about the promise of the Loop System to allow people suffering from chronic illness peace of mind, better rest, and reduced stress from knowing their condition is being carefully monitored while at home,” said Spry Co-Founder Pierre-Jean Cobut.
The Loop Band, worn like a wristwatch, underwent an in-depth development phase to ensure its comfort.
“One of the guiding principles in developing the Loop System was to maintain the independence and comfort most people experience when at home, versus in the hospital,” said Cobut. “During the development phase, patients overwhelmingly preferred the Loop System to cumbersome and uncomfortable blood pressure monitors and pulse oximeters that provide only a one-time, in-the-moment reading.”
Depending on the conditions of the patient, providers will determine how often patients should wear the band, whether during the day, night or both.
In order to implement Loop bands into different medical facilities, the information is designed to be compatible with existing software, so care teams will not have to change their current operating systems or processes.
The hope with Loop bands is to build the largest dataset of physiologic identifiers of disease and acute patient events. They hope these insights will help transform health management strategies and save a great amount of money in emergency intervention and costly treatments.
“We are proud to be on the forefront of this revolution in healthcare,” said Cobut.