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Belinda Pingguan-Murphy

dblp:157/4658 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0001-5567-1141ORCID · verified

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Applied, 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
2022 Knee osteoarthritis severity classification with ordinal regression module
Ching Wai Yong, Kareen Teo, Belinda Pingguan-Murphy, Yan Chai Hum, Yee-Kai Tee, Kaijian Xia, Khin Wee Lai
Multim. Tools Appl.3
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. IEEE5