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Making Smart Shirts Smarter : Optimal Electrode Placement for Cardiac Assessment
M. Donnelly,C. Nugent,D. Finlay,P. McCullagh,N. Black 한국과학기술원 인간친화 복지 로봇 시스템 연구센터 2007 International Journal of Assistive Robotics and Me Vol.8 No.2
The use of smart textiles within clothing offers the facility to monitor patient vital signs in an unobtrusive manner. In the present study we examine the benefits of integrating electrodes into smart shirts taking into consideration aspects of practical limitations in sensor placement. Three practical scenarios are investigated which restrict possible recording sites to the anterior, lateral, and posterior regions, respectively. A wrapper approach incorporating both nearest neighbor and logistic regression models was adopted to search for and extract relevant features. Two discrimination tasks were investigated; identifying between subjects with evidence of old myocardial infarction, and normal healthy subjects; and identifying between subject suffering from left ventricular hypertrophy and healthy subjects. The results from the study indicate that acceptable classification performance is possible even if recording sites are restricted due to practical constraints.
Managing Sensor Data in Ambient Assisted Living
Nugent, C.D.,Galway, L.,Chen, L.,Donnelly, M.P.,Mcclean, S.I.,Zhang, S.,Scotney, B.W.,Parr, G. Korean Institute of Information Scientists and Eng 2011 Journal of Computing Science and Engineering Vol.5 No.3
The use of technology within the home has gained wide spread acceptance as one possible approach to be used in addressing the challenges of an ageing society. A number of rudimentary assistive solutions are now being deployed in real settings but with the introduction of these technology-orientated services come a number of challenges, which to date are still largely unsolved. At a fundamental level, the management and processing of the large quantities of data generated from multiple sensors is recognised as one of the most significant challenges. This paper aims to present an overview of the types of sensor technologies used within Ambient Assisted Living. Subsequently, through presentation of a series of case studies, the paper will demonstrate how the practical integration of multiple sources of sensor data can be used to improve the overall concept and applications of Ambient Assisted Living.
Managing Sensor Data in Ambient Assisted Living
C. D. Nugent,L. Galway,L. Chen,M. P. Donnelly,S. I. McClean,S. Zhang,B. W. Scotney,G. Parr 한국정보과학회 2011 Journal of Computing Science and Engineering Vol.5 No.3
The use of technology within the home has gained wide spread acceptance as one possible approach to be used in addressing the challenges of an ageing society. A number of rudimentary assistive solutions are now being deployed in real settings but with the introduction of these technology-orientated services come a number of challenges, which to date are still largely unsolved. At a fundamental level, the management and processing of the large quantities of data generated from multiple sensors is recognised as one of the most significant challenges. This paper aims to present an overview of the types of sensor technologies used within Ambient Assisted Living. Subsequently, through presentation of a series of case studies, the paper will demonstrate how the practical integration of multiple sources of sensor data can be used to improve the overall concept and applications of Ambient Assisted Living.
Prenatal MRI Findings of Fetuses with Congenital High Airway Obstruction Sequence
Carolina V. A. Guimaraes,Leann E. Linam,Beth M. Kline-Fath,Lane F. Donnelly,Maria A. Calvo-Garcia,Eva I. Rubio,Jeffrey C. Livingston,Robert J. Hopkin,Elizabeth Peach,Foong-Yen Lim,Timothy M. Crombleho 대한영상의학회 2009 Korean Journal of Radiology Vol.10 No.2
Objective: To define the MRI findings of congenital high airway obstruction sequence (CHAOS) in a series of fetuses. Materials and Methods: Prenatal fetal MR images were reviewed in seven fetuses with CHAOS at 21 to 27 weeks of gestation. The MRI findings were reviewed. The MRI parameters evaluated included the appearance of the lungs and diaphragm, presence or absence of hydrops, amount of amniotic fluid, airway appearance, predicted level of airway obstruction, and any additional findings or suspected genetic syndromes. Results: All the fetuses viewed (7 of 7) demonstrated the following MRI findings: dilated airway below the level of obstruction, increased lung signal, markedly increased lung volumes with flattened or inverted hemidiaphragms, massive ascites, centrally positioned and compressed heart, as well as placentomegaly. Other frequent findings were anasarca (6 of 7) and polyhydramnios (3 of 7). MRI identified the level of obstruction as laryngeal in five cases and tracheal in two cases. In four of the patients, surgery or autopsy confirmed the MRI predicted level of obstruction. Associated abnormalities were found in 4 of 7 (genetic syndromes in 2). Postnatal radiography (n = 3) showed markedly hyperinflated lungs with inverted or flattened hemidiaphragms, strandy perihilar opacities, pneumothoraces and tracheotomy. Two fetuses were terminated and one fetus demised in utero. Four fetuses were delivered via ex utero intrapartum treatment procedure. Conclusion: MRI shows a consistent pattern of abnormalities in fetuses with CHAOS, accurately identifies the level of airway obstruction, and helps differentiate from other lung abnormalities such as bilateral congenital pulmonary airway malformation by demonstrating an abnormally dilated airway distal to the obstruction. Objective: To define the MRI findings of congenital high airway obstruction sequence (CHAOS) in a series of fetuses. Materials and Methods: Prenatal fetal MR images were reviewed in seven fetuses with CHAOS at 21 to 27 weeks of gestation. The MRI findings were reviewed. The MRI parameters evaluated included the appearance of the lungs and diaphragm, presence or absence of hydrops, amount of amniotic fluid, airway appearance, predicted level of airway obstruction, and any additional findings or suspected genetic syndromes. Results: All the fetuses viewed (7 of 7) demonstrated the following MRI findings: dilated airway below the level of obstruction, increased lung signal, markedly increased lung volumes with flattened or inverted hemidiaphragms, massive ascites, centrally positioned and compressed heart, as well as placentomegaly. Other frequent findings were anasarca (6 of 7) and polyhydramnios (3 of 7). MRI identified the level of obstruction as laryngeal in five cases and tracheal in two cases. In four of the patients, surgery or autopsy confirmed the MRI predicted level of obstruction. Associated abnormalities were found in 4 of 7 (genetic syndromes in 2). Postnatal radiography (n = 3) showed markedly hyperinflated lungs with inverted or flattened hemidiaphragms, strandy perihilar opacities, pneumothoraces and tracheotomy. Two fetuses were terminated and one fetus demised in utero. Four fetuses were delivered via ex utero intrapartum treatment procedure. Conclusion: MRI shows a consistent pattern of abnormalities in fetuses with CHAOS, accurately identifies the level of airway obstruction, and helps differentiate from other lung abnormalities such as bilateral congenital pulmonary airway malformation by demonstrating an abnormally dilated airway distal to the obstruction.