New Product Launch: MindMics Heart Health System

Cambridge, Massachusetts--(Newsfile Corp. - May 12, 2023) - Today, MindMics, Inc. is pleased to announce it has launched its limited edition MindMics Heart Health System. The system uses patented and clinically validated sound-based technology known as In-ear Infrasonic HemodynographyTM (IH), embedded in everyday earbuds, to detect heart rate (HR) and heart rate variability (HRV) in real-time, and guides the user through breathing exercises to control their heart and master stress. By using sound to measure key biometrics, MindMics overcomes the challenges faced by wearables that use photoplethysmography (PPG) light technology. Factors like skin tone, skin thickness, perspiration and body mass can severely impact the accuracy of PPG readings. With MindMics, key organs like the heart are monitored through low-frequency acoustical vibrations detected in the ear canal. MindMics' IH delivers HR and HRV in real-time with a…

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Early acute illness detection in delirium and dementia

Jane Saczynski, Northeastern University. Edward Marcantonio, Beth Israel Deaconess Medical Center. Acute illness presents in the most vulnerable organ in the body, among patients with dementia that organ is the brain and acute illness often presents first as delirium, an acute confusional state. This project will evaluate home monitoring devices as early indicators of acute illness in persons with dementia.

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Detecting frailty in home environments through non-invasive whole room body heat sensing in older adults

Amanda Paluch, UMass Amherst. Dae Hyun Kim, Hebrew SeniorLife. Rags Gupta, Butlr Technologies Inc. This AITC pilot project explored the use of non-invasive, ceiling-mounted heat sensors to detect frailty in older adults living in senior communities.

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Developing real-world digital biomarkers from wearable sensors in Alzheimer’s disease

Jen Blankenship, VivoSense Inc. Michael Busa, UMass Amherst. This pilot study aimed to develop and validate new algorithms for detecting walking behavior using wearable sensors in older adults, including those with Alzheimer’s disease or mild cognitive impairment.

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