飞鸟加速器试用免费-hammer加速器

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飞鸟加速器试用免费-hammer加速器

飞鸟加速器试用免费-hammer加速器

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飞鸟加速器试用免费-hammer加速器

 

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Simple calibration process

Intuitive display of physiologic status

Works during sleep

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Data-driven chronic disease management

Emergency mode triggered when needed

 

飞鸟加速器试用免费-hammer加速器

Phone or smart speaker emits inaudible ultrasonic pulses that reflect off a person’s chest.

Phone or smart speaker emits inaudible ultrasonic pulses that reflect off a person’s chest.

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The reflections are detected by the device’s microphone.

Signal processing algorithms analyze the frequency shifts in the reflected signal to identify clinically meaningful respiratory changes.

Signal processing algorithms analyze the frequency shifts in the reflected signal to identify clinically meaningful respiratory changes.

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Respiration is communicated by the device to drive appropriate interventions in a variety of scenarios.

飞鸟加速器试用免费-hammer加速器

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飞鸟加速器试用免费-hammer加速器

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Shyam Gollakota, PhD

Dr. Gollakota is an Associate Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington where he leads the Networks and Mobile Systems Lab. His research covers a range of topics, including computer networks, human-computer interaction, battery-free computing and mobile health. He is an alumnus of MIT (Ph.D., 2013) and IIT Madras (BS, 2006). 

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Jacob Sunshine, MD

Dr. Sunshine is an Assistant Professor at the University of Washington School of Medicine in Anesthesiology & Pain Medicine. His research involves finding ways to use existing commodity devices to help solve public health challenges, specifically in the diagnosis of emergent cardiopulmonary conditions. His research is supported by the NIH, NSF and private foundations.

 

飞鸟加速器试用免费-hammer加速器

 

Ed Truitt
Enterprise Development

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Digital Health Products

 
 
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飞鸟加速器试用免费-hammer加速器

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飞鸟加速器试用免费-hammer加速器

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[Press Release] 'Alexa, monitor my heart': Researchers develop first contactless cardiac arrest AI system for smart speakers
[Press Release] 'Alexa, monitor my heart': Researchers develop first contactless cardiac arrest AI system for smart speakers

Researchers at the University of Washington have developed a new tool to monitor people for cardiac arrest while they're asleep without touching them. A new skill for a smart speaker— like Google Home and Amazon Alexa — or smartphone lets the device detect the gasping sound of agonal breathing and call for help.

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Sound Life Sciences Wins NIH Challenge Award
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Sound Life Sciences is one of the winners of the National Institute of Health’s (NIH) 3rd annual “$100,000 for Start a Substance Use Disorders (SUD) Startup” Challenge. The award money will help the team productize their groundbreaking respiration-monitoring software.

 
 
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