Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Wongu Lee

dblp:160/8923 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0003-1473-0672ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › clinical diagnosis
point-of-care diagnostics
0.212015
Advances in Smartphone-Based Point-of-Care Diagnostics · Proc. IEEE 2015

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

smartphone sensors · 0.4biochemical reactions · 0.2biochemical reaction · 0.2
YearPublicationVenuePosition
2015 Advances in Smartphone-Based Point-of-Care Diagnostics
abstract
Point-of-care (POC) diagnostics is playing an increasingly important role in public health, environmental monitoring, and food safety analysis. Smartphones, alone or in conjunction with add-on devices, have shown great capability of data collection, analysis, display, and transmission, making them popular in POC diagnostics. In this article, the state-of-the-art advances in smartphone-based POC diagnostic technologies and their applications in the past few years are outlined, ranging fromin vivotests that use smartphone's built-in/external sensors to detect biological signals toin vitrotests that involves complicated biochemical reactions. Novel techniques are illustrated by a number of attractive examples, followed by a brief discussion of the smartphone's role in telemedicine. The challenges and perspectives of smartphone-based POC diagnostics are also provided.
Xiayu Xu, Altug Akay, Huilin Wei, Belinda Pingguan-Murphy, Bjorn-Erik Erlandsson, Xiujun Li, Wongu Lee
Proc. IEEE8