Jianliang Xiao

dblp:239/8028 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0001-5378-0096ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 56% Health and well-being technologies · 44%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › vital sign monitoring
blood pressure monitoring
0.412019
eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear · MobiCom 2019
Health and well-being technologies › health monitoring
continuous health monitoring
0.412019
eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear · MobiCom 2019

Methods — techniques the papers use, named apart from their topics

light-based pulse sensing · 0.4BP estimation algorithm · 0.4
YearPublicationVenuePosition
2019 eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear
abstract
Frequent blood pressure (BP) assessment is key to the diagnosis and treatment of many severe diseases, such as heart failure, kidney failure, hypertension, and hemodialysis. Current "gold-standard'' BP measurement techniques require the complete blockage of blood flow, which causes discomfort and disruption to normal activity when the assessment is done repetitively and frequently. Unfortunately, patients with hypertension or hemodialysis often have to get their BP measured every 15 minutes for a duration of 4-5 hours or more. The discomfort of wearing a cumbersome and limited mobility device affects their normal activities. In this work, we propose a device called eBP to measure 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.
Nam Bui, Nhat Pham, Jessica Jacqueline Barnitz, Zhanan Zou, Phuc Nguyen 0002, Hoang Truong 0002, Nicholas Farrow, Anh Nguyen 0001, Jianliang Xiao, Robin R. Deterding, Thang N. Dinh, Tam Vu 0001
MobiCom10