3.
New ensemble machine learning method for classification and prediction on gene expression data - Wang, Ching-Wei
–A reliable and precise classification of tumours is
essential for successful treatment of cancer. Recent researches have confirmed the utility of ensemble machine learning algorithms for gene expression data analysis. In this paper, a new ensemble machine learning algorithm is proposed for classification and prediction on gene expression data. The algorithm is tested and compared with three popular adopted ensembles, i.e. bagging, boosting and arcing. The results show that the proposed algorithm greatly outperforms existing methods, achieving high accuracy over 12 gene expression datasets.
5.
Real time sobel square edge detector for night vision analysis - Wang, Ching Wei
Vision analysis with low or no illumination is gaining more and more attention recently, especially in the fields of security surveillance and medical diagnosis. In this paper, a real time sobel square edge detector is developed as a vision enhancer in order to render clear shapes of object in targeting scenes, allowing further analysis such as object or human detection, object or human tracking, human behavior recognition, and identification on abnormal scenes or activities. The method is optimized for real time applications and compared with existing edge detectors. Program codes are illustrated in the content and the results show that...
6.
Artificial intelligent vision analysis in obstructive sleep apnoea (OSA) - Wang, Ching Wei; Ahmed, Amr; Hunter, Andrew
Although polysomnography is a generally adopted approach for diagnosing obstructive sleep apnoea (OSA), there are several critical drawbacks with it, including massive equipment cost, large expense on replacing damaged components and more importantly invasive devices required to be worn while patients are struggling to sleep. Furthermore, there is no proof that polymonography obtains higher accuracy in detecting patients with OSA than more simple investigations [1]. Video monitoring has been adopted to assist diagnosis on obstructive sleep apnoea. From practical researches [3], the best predictors of morbidity in individual patients, as assessed by improvements with CPAP therapy, are nocturnal oxygen saturation...
7.
Vision analysis in detecting abnormal breathing activity in application to diagnosis of obstructive sleep apnoea - Wang, Ching-Wei; Ahmed, Amr; Hunter, Andrew
Recognizing abnormal breathing activity from
body movement is a challenging task in machine vision. In this paper, we present a non-intrusive automatic video monitoring technique for detecting abnormal breathing activities and assisting in diagnosis of obstructive sleep apnoea. The proposed technique utilizes infrared video information and avoids imposing geometric or positional constraints on the patient. The technique also deals with fully or partially obscured patients’ body. A continuously updated breathing activity template is built
for distinguishing general body movement from breathing
behavior.
8.
Locating the Upper Body of Covered Humans in application to Diagnosis of Obstructive Sleep Apnea - Wang, Ching-Wei; Ahmed, Amr; Hunter, Andrew
Obstructive Sleep Apnea is increasingly seen as a common and important condition, contributing to sleep disturbance and consequential daytime sleepiness. According to recent research findings, the best predictors of morbidity in individual patients, as assessed by improvements with CPAP (continuous positive airway pressure therapy), are nocturnal oxygen saturation and movements during sleep. Although pulse oximetry is a well-established technique to analyze oxygen saturation, video monitoring and interpretation is less well developed both from a processing and analysis viewpoint. This is due to the relative computational complexity of video processing analysis, as well as application-related technical challenges, involving night vision, the...
9.
Locating the Upper Body of Covered Humans in application to Diagnosis of Obstructive Sleep Apnea - Best Student Paper Award of The World Congress on Engineering 2007 - Wang, Ching-Wei; Ahmed, Amr; Hunter, Andrew
Obstructive Sleep Apnea is increasingly seen as a common and important condition, contributing to sleep disturbance and consequential daytime sleepiness. According to recent research findings, the best predictors of morbidity in individual patients, as assessed by improvements with CPAP (continuous positive airway pressure therapy), are nocturnal oxygen saturation and movements during sleep. Although pulse oximetry is a well-established technique to analyze oxygen saturation, video monitoring and interpretation is less well developed both from a processing and analysis viewpoint. This is due to the relative computational complexity of video processing analysis, as well as application-related technical challenges, involving night vision, the...
1.
