New Smart T-Shirt Delivering Biometric Monitoring Abilities

An innovative smart t-shirt is providing accurate, unobtrusive, continuous health monitoring across a wide range of industries, from pharmaceutical testing to senior care.

FREMONT, CA: An artificial intelligence company specialized in digital health, Chronolife, has launched Nexkin. The launched product is a revolutionary washable smart T-shirt monitoring six vital physiological parameters to facilitate prevention, risk mitigation, and remote monitoring. Chronolife also announced the closing of new fundraising to support its commercial and industrial phase. The new product uses cutting-edge wearable electronics to integrate ten biometric scanners into a comfortable, machine-washable T-shirt.

Nexkin has the potential to record a user's electrocardiogram, abdominal and thoracic breathing, body temperature, physical activity, and pulmonary impedance continually. Data from the shirt is transmitted through bluetooth to the user's smartphone, where data from various sensors can be integrated using Chronolife's unique Hierarchy Of event-based Time Surfaces (HOTS) algorithms. Nexkin delivers accurate and actionable health insights that can be subsequently downloaded or transferred to secure servers for review by health professionals. The company's technology combination of AI-powered next-generation wearable sensors and real-time analytics has the potential to transform fields including senior care, aging-in-place, occupational health and safety, military training, sports rehabilitation, and performance management.

Chronolife is an AI organization specializing in digital health. The company's patented technology is an innovative neuromorphic algorithm termed HOTS that analyzes several data flows continually, to characterize clinical events. Chronolife has developed a smart wearable called Nexkin, integrating various sensors to monitor physiological data constantly. This data is examined by the smartphone application on a patient's phone using HOTS technology to conduct data fusion. It is proficient in detecting changes in a patient's health while triggering alerts for healthcare professionals to predict acute pathological episodes.