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Cornell University School of Electrical and Computer Engineering

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Creating a remote sensor to detect health troubles

A Cornell doctoral student is building a company based on a radio-based technology that could sense cardiac and respiratory troubles for patients without the need for them to wear a bulky monitor or skin electrodes. SensVita, developed by electrical engineer Thomas Conroy, uses near-field radio frequency sensing.

Millimeter-precision RFID localization 

An experimental multiple-input–multiple-output (MIMO) network was implemented by a Universal Software Radio Peripheral (USRP) platform and harmonic RF markers to demonstrate millimeter-level 3-D localization at sub-1GHz carrier frequencies within heavy multi-path ambient, simulating the condition inside building structures.

Vital signs over radio with near-field coherent sensing (NCS)

The system works like radar, according to Edwin Kan, professor of electrical and computer engineering. But unlike most radar systems that rely solely on radio waves to measure movement, Kan’s system integrates “near-field coherent sensing,” which is better at directing electromagnetic signals into body tissue, allowing the tags to measure internal body movement such as a heart as it beats or blood as it pulses under skin.

No-touch measurements of vital signs in small conscious animals

Our touch-less method can measure the vital signs of small conscious animals, with minimal interference to the daily rhythms of the animal under test, not only facilitating small-animal studies but also providing alternatives to existing invasive, risky, and sometimes inhumane laboratory techniques.