Christopher Wee Keong Kuah
Overview
Explore the profile of Christopher Wee Keong Kuah including associated specialties, affiliations and a list of published articles.
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20
Citations
589
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Recent Articles
1.
Aguirre-Ollinger G, Chua K, Ong P, Kuah C, Plunkett T, Ng C, et al.
J Neuroeng Rehabil
. 2024 Nov;
21(1):207.
PMID: 39593101
Background: We evaluated the feasibility, safety, and efficacy of a 2D-planar robot for minimally supervised home-based upper-limb therapy for post-stroke hemiparesis. Methods: The H-Man, end effector robot, combined with web-based...
2.
Lim G, Jatesiktat P, Kuah C, Ang W
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-5.
PMID: 38083090
To complement rehabilitation assessments that involve hand-object interaction with additional information on the grasping parameters, we sensorized an object with a pressure sensor array module that can generate a pressure...
3.
Li L, Foo M, Chen J, Tan K, Cai J, Swaminathan R, et al.
J Neuroeng Rehabil
. 2023 Mar;
20(1):29.
PMID: 36859286
Background: Aging degrades the balance and locomotion ability due to frailty and pathological conditions. This demands balance rehabilitation and assistive technologies that help the affected population to regain mobility, independence,...
4.
Sidarta A, Lim Y, Wong R, Tan I, Kuah C, Ang W
PLoS One
. 2022 Aug;
17(8):e0270693.
PMID: 35951544
Stroke-induced somatosensory impairments seem to be clinically overlooked, despite their prevalence and influence on motor recovery post-stroke. Interest in technology has been gaining traction over the past few decades as...
5.
Jatesiktat P, Lim G, Kuah C, Anopas D, Ang W
BMC Med Inform Decis Mak
. 2022 Jul;
22(1):175.
PMID: 35780122
Background: Insightful feedback generation for daily home-based stroke rehabilitation is currently unavailable due to the inefficiency of exercise inspection done by therapists. We aim to produce a compact anomaly representation...
6.
Noronha B, Ng C, Little K, Xiloyannis M, Kuah C, Wee S, et al.
IEEE Trans Neural Syst Rehabil Eng
. 2022 May;
30:1401-1411.
PMID: 35576429
Stroke can be a devastating condition that impairs the upper limb and reduces mobility. Wearable robots can aid impaired users by supporting performance of Activities of Daily Living (ADLs). In...
7.
Sidarta A, Lim Y, Kuah C, Loh Y, Ang W
Pilot Feasibility Stud
. 2021 Nov;
7(1):207.
PMID: 34782024
Background: Prior studies have established that senses of the limb position in space (proprioception and kinaesthesia) are important for motor control and learning. Although nearly one-half of stroke patients have...
8.
Lambercy O, Lehner R, Chua K, Wee S, Rajeswaran D, Kuah C, et al.
Front Robot AI
. 2021 May;
8:612415.
PMID: 34026855
Current neurorehabilitation models primarily rely on extended hospital stays and regular therapy sessions requiring close physical interactions between rehabilitation professionals and patients. The current COVID-19 pandemic has challenged this model,...
9.
Lim G, Jatesiktat P, Kuah C, Ang W
Annu Int Conf IEEE Eng Med Biol Soc
. 2020 Oct;
2020:5789-5793.
PMID: 33019290
Current clinical practice of measuring hand joint range of motion relies on a goniometer as it is inexpensive, portable, and easy to use, but it can only measure the static...
10.
Liang P, Kwong W, Sidarta A, Yap C, Tan W, Lim L, et al.
Sci Data
. 2020 Sep;
7(1):290.
PMID: 32901007
Assessment of human movement performance in activities of daily living (ADL) is a key component in clinical and rehabilitation settings. Motion capture technology is an effective method for objective assessment...