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Chronolife Applauded by Frost & Sullivan for Flagship Predictive Health Analytics and Monitoring Smartwear

Chronolife’s Innovative T-Shirt-Based Platform Captures Biometrics to Track Chronic Conditions Such as Heart Disease

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Based on an in-depth analysis of the global predictive health analytics and monitoring market, Frost & Sullivan recognizes Chronolife, a pioneer in the wearable biometrics space, with the 2019 Global Visionary Innovation Leadership Award. Chronolife’s innovative clothing-integrated bio-sensing platform combines artificial intelligence (AI) with an accessible form factor to monitor and predict medical events in real time. With a state-of-the-art algorithm that captures multiple medical-grade parameters, it generates contextualized, accurate, and relevant biometrics critical to leveraging the cost-saving and transformative potential of wearable technologies.

“Chronolife’s end-to-end solution, a single T-shirt and smartphone application, allows end users to integrate diagnostic monitoring with the activities of daily living seamlessly. Specifically, the Chronolife T-shirt allows the company to weave multiple capabilities and electronic components into a single washable T-shirt,” said Sowmya Rajagopalan, Global Program Director at Frost & Sullivan. “The T-shirt leverages the company’s biosensing platform to monitor physiological data in real time for cardiac disease patients, with settings ranging from acute to ambulatory care.”

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The key metrics captured by the smartwear include:

  • Electrocardiogram (ECG)—tracking heart rate, heart rate variability, and arrhythmia
  • Pulmonary impedance—to determine edema characterization
  • Thoracic respiration—tracking respiratory distress and respiratory rate
  • Abdominal respiration—tracking respiratory distress
  • Skin temperature—tracking temperature variation
  • Physical activity—offering fall detection, number of steps, posture indications, and intensity

Chronolife’s key differentiator is its patented neuromorphic Hierarchy Of event-based Time Surfaces (HOTS) algorithm. Being event-based instead of time-based, HOTS can efficiently parse biometric data while analyzing multiple data flows to characterize clinical events. Thus, the device does not require continuous data gathering or cloud-based large servers to conduct Big Data analytics. The captured data transmits through BlueTooth Low Energy to the user’s smartphone application for continuous integration and analysis.

The technology can store data locally for up to 20 hours, and uploads patient data to remote cloud-based servers whenever the smartphone is on and a WiFi connection is available. Data is then archived on accredited data hosting servers for easy access by patients or providers.

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“While Chronolife is currently pre-commercial, the company’s adaptable platform has the potential to target a plethora of use cases and applications. The company is actively exploring other applications, including sudden infant death syndrome, epilepsy, and medical conditions related to sleep apnea,” noted Rajagopalan. “With its strategic innovation, technical excellence, and potential to enhance health across market sectors, Chronolife is set to dominate the predictive health analytics and monitoring market.”

Each year, Frost & Sullivan bestows its Global Visionary Innovation Leadership Award upon a company that demonstrates excellence in growth and customer value. It recognizes the superiority of the product/service as well as an overall customer, purchase, ownership, and service experience  has resulted in the recipient company seeing above-market growth and greater share of wallet. The award lauds Chronolife’s innovations, but also its  growth, diversification, and sustainability strategies.

Frost & Sullivan Best Practices awards recognize companies in a variety of regional and global markets for demonstrating outstanding achievement and superior performance in areas such as leadership, technological innovation, customer service, and strategic product development. Industry analysts compare market participants and measure performance through in-depth interviews, analysis, and extensive secondary research to identify best practices in the industry.

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