eBP - In-ear Frequent Blood Pressure Monitoring

eBP - In-ear Frequent Blood Pressure Monitoring project

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, which allows mean errors of up to 5 mmHg and a standard deviation of up to 8 mmHg.

Presentation

Project Status and News

Publications

eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear [PDF]
ACM MobiCom 2019 - The ACM Conference on Mobile Computing and Networking, Oct. 2019.
(55 out of 290 submissions, acceptance ratio: 18.9%).
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.
- Best Paper Award 2019 - Sigmobile Research Highlights 2019 - CACM Research Highlights 2020

EBP: FREQUENT AND COMFORTABLE BLOOD PRESSURE MONITORING FROM INSIDE HUMAN'S EARS [PDF]
GetMobile 2019 - Mobile Computing and Communications.
Nam Bui, Nhat Pham, Hoang Truong, Phuc Nguyen, Jianliang Xiao, Robin Deterding, Thang Dinh, and Tam Vu.