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Project Description

We propose a device called eBP to measure blood pressure (BP) from inside the user's ear, aiming to minimize the measurement's impact on users' normal activities while maximizing its comfort level.

eBP has 3 key components: (1) a light-based pulse sensor attached on an inflatable pipe that goes inside the ear, (2) a digital air pump with a fine controller, and (3) a BP estimation algorithm.

In contrast to existing devices, eBP introduces a novel technique that eliminates the need to block the blood flow inside the ear, which alleviates the user's discomfort. We prototyped eBP custom hardware and software and evaluated the system through a comparative study on 35 subjects.

The study shows that eBP obtains the average error of 1.8 mmHg and -3.1 mmHg and a standard deviation error of 7.2 mmHg and 7.9 mmHg for systolic (high-pressure value) and diastolic (low-pressure value), respectively. These errors are around the acceptable margins regulated by the FDA's AAMI protocol.

The Team

Tam Vu Nam Bui Nhat Pham Jessica Jacqueline Barnitz Zhanan Zou VP Nguyen Hoang Truong Taeho Kim Nicholas Farrow Anh Nguyen Jianliang Xiao Robin Deterding Thang Dinh

Project News

Publications

eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear
ACM MobiCom 2019
Nam Bui, Nhat Pham, Jessica Jacqueline Barnitz, Zhanan Zou, Phuc Nguyen, Hoang Truong, Taeho Kim, Nicholas Farrow, Anh Nguyen, Jianliang Xiao, Robin Deterding, Thang Dinh, and Tam Vu
55 out of 290 submissions, acceptance ratio: 18.9%
Best Paper Award SIGMOBILE Highlights CACM Highlights
EBP: Frequent and Comfortable Blood Pressure Monitoring from Inside Human's Ears
GetMobile 2019 - Mobile Computing and Communications
Nam Bui, Nhat Pham, Hoang Truong, Phuc Nguyen, Jianliang Xiao, Robin Deterding, Thang Dinh, and Tam Vu