Driver distraction detection using semi-supervised machine learning
Real-time driver distraction detection is the core to many distraction countermeasures and
fundamental for constructing a driver-centered driver assistance system. While data-driven …
fundamental for constructing a driver-centered driver assistance system. While data-driven …
Investigation on driver stress utilizing ECG signals with on-board navigation systems in use
People today rely more and more on global positioning system (GPS) for navigation when
driving in unfamiliar environments. While GPS navigation is indispensable in an intelligent …
driving in unfamiliar environments. While GPS navigation is indispensable in an intelligent …
Manifold ranking based scoring system with its application to cardiac arrest prediction: A retrospective study in emergency department patients
Background The recently developed geometric distance scoring system has shown the
effectiveness of scoring systems in predicting cardiac arrest within 72 h and the potential to …
effectiveness of scoring systems in predicting cardiac arrest within 72 h and the potential to …
Efficient representation learning for high-dimensional imbalance data
In this paper, a multi-layer weighted extreme learning machine (ML-WELM) is proposed for
high-dimensional datasets with class imbalance. The recently proposed single hidden layer …
high-dimensional datasets with class imbalance. The recently proposed single hidden layer …
Effects of noisy sounds on human stress using ECG signals: an empirical study
BS Oh, YK Yeo, FY Wan, Y Wen… - … and Signal Processing …, 2015 - ieeexplore.ieee.org
In this paper, we explore the effects of noisy sounds (ie auditory stressor) on human stress
using electrocardiogram (ECG) signals. The noisy sounds utilized in this study include: sound …
using electrocardiogram (ECG) signals. The noisy sounds utilized in this study include: sound …
Extreme learning machine based mutual information estimation with application to time-series change-points detection
In this paper, we propose an efficient parameter tuning-free squared-loss mutual information
(SMI) estimator in a form of a radial basis function (RBF) network. The input layer of the …
(SMI) estimator in a form of a radial basis function (RBF) network. The input layer of the …
ECG signal processing and analysis for data arising from rehab patients doing exercises
Heart disease is one of the leading causes of mortality worldwide. Cardiac rehabilitation
plays a crucial role in enhancing quality of life and helping cardiac patients in returning to …
plays a crucial role in enhancing quality of life and helping cardiac patients in returning to …
Melanoma associated antigen (MAGE)-A3 promotes cell proliferation and chemotherapeutic drug resistance in gastric cancer
…, N Padmanabhan, CT Yap, P Tan, LK Goh, WP Yong - Cellular Oncology, 2016 - Springer
Background Melanoma-associated antigen (MAGE)-A3 is a member of the family of cancer-testis
antigens and has been found to be epigenetically regulated and aberrantly expressed …
antigens and has been found to be epigenetically regulated and aberrantly expressed …
Issues in translation of pharmacogenomics into clinical practice
KTJ Yeo, N Babic, AHB Wu - Pharmacogenomic Testing in Current …, 2011 - Springer
Clinical laboratory tests are commonly used for supporting the diagnosis and prognosis of a
disease, monitoring the efficacy progress of therapeutic management decisions, and …
disease, monitoring the efficacy progress of therapeutic management decisions, and …
Structure–toxicity relationship and structure–activity relationship study of 2-phenylaminophenylacetic acid derived compounds
2-Phenylaminophenylacetic acid is a widely-exploited chemical scaffold whereby notable
NSAIDs such as diclofenac and lumiracoxib were derived. Yet, their clinical usage has been …
NSAIDs such as diclofenac and lumiracoxib were derived. Yet, their clinical usage has been …