New Product Launch: Addition of generative AI features to Kinto

The team at Kinto deployed the two main generative AI features to their production system where coaches can view strain assessment data and resource recommendations. The team also created a repeatable framework for extracting and anonymizing caregiver data sets from the Kinto platform on demand to provide training data sets for further testing and development of generative AI features at scale.

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NIH Research Highlight: Smartphone clip attachment may help some people self-monitor blood pressure

NIA-funded researchers have developed a low-cost, universal attachment that some people may be able to use with a smartphone to measure blood pressure from their fingertips. News of the device was published in Scientific Reports. Hand holds blood pressure device, pulse from finger of other hand is being measuredPrototype of the BPClip, courtesy of the Digital Health Lab/University of California, San Diego.University of California, San Diego researchers developed “BPClip” for at-home access to blood pressure monitoring, especially for people who find it difficult to access health care services. A plastic clip attaches to a smartphone camera and is used with a custom smartphone application to measure blood pressure from the pulse at the user’s fingertip as the finger presses into the clip. Other cuffless devices require calibration using blood pressure cuffs. BPClip does not —…

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Award: CES 2024 Innovation Awards Honoree in the digital health and wearables technology categories

MindMics Heart Health System was an honoree recipient of the CES 2024 Innovation Awards in both the digital health and wearables technologies categories. "MindMics Heart Health System is an innovative and comprehensive solution designed to address the growing need for next-generation heart health monitoring. At the core of our technology is the patented in-ear Infrasonic Hemodynography (IH), which enables heart health monitoring through TWS earbuds. Our system combines clinical accuracy of a 99% IH-ECG correlation to measuring each heartbeat. MindMics provides users a dashboard based on their personal baseline showing physiological states in real time. Placing emphasis on stress recovery and blood pressure management, our solutions are tailored to meet individual needs, providing actionable steps for users to manage their health and thrive." Source: CES Innovation Awards® | 2024

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Publication: Assessing Novel Orthostatic Vital Signs with a Wearable Sensor

Authors: Ziad A. Elhajjaji, Amar S. Basu Abstract Orthostatic hypotension (OH) is a reduction in blood pressure and cerebral blood flow upon standing. Presenting in nearly 30% of older adults, OH is associated with increased fall risk and other co-morbidities. The clinical standard for monitoring OH, a blood pressure (BP) cuff, fails to capture initial orthostatic hypotension (IOH) and rapid hemodynamic changes during orthostasis. In contrast, cerebral blood flow velocity (CBFV) and continuous BP requires costly instrumentation unsuitable for home monitoring. As result OH is often underdiagnosed and poorly managed. This paper proposes a novel method for monitoring OH using TRACE, a wireless earlobe sensor that quantifies orthostatic hypovolemia (OHV), postural orthostatic tachycardia (POT), and motion during a standup test. To our knowledge, OHV is a novel biometric that may be correlated with dizziness upon…

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Webinar – Technology for Enhancing Functional Health: Monitoring Movement with Wearables and Sensors, Margie Lachman, Amanda Paluch, Jen Blankenship

https://youtu.be/VLEL_qlBLFA?si=0oCfae1LTswkZyPG Abstract:  Nearly half of adults over 75 experience functional limitations, often worsened by physical inactivity and sedentary behavior. There is an inherent need for innovative technologies—such as wearables, sensors, and AI systems—to detect early declines and support timely interventions that maintain independence and quality of life. This webinar explored potential innovative approaches that are being developed through the support of the MassAITC pilot program to support functional health and independence among older adults through wearable and ambient sensor technologies. Dr. Amanda Paluch (University of Massachusetts) presented her pilot study on detecting frailty in home environments using non-invasive, whole-room body heat sensors (Butlr Care). Her team’s interdisciplinary work aims to develop low-burden, contactless algorithms capable of continuously monitoring movement patterns to detect early signs of frailty and support interventions that promote aging in place. Dr.…

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