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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

 

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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.

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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.

 

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Ed Truitt
Enterprise Development

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Digital Health Products

 
 
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