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Automatic Heart Disease Detection by Classification of Ventricular Arrhythmias on ECG Using Machine Learning 被引量:2
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作者 Khalid Mahmood Aamir Muhammad Ramzan +5 位作者 Saima Skinadar Hikmat Ullah Khan Usman Tariq hyunsoo lee Yunyoung Nam Muhammad Attique Khan 《Computers, Materials & Continua》 SCIE EI 2022年第4期17-33,共17页
This paper focuses on detecting diseased signals and arrhythmias classification into two classes:ventricular tachycardia and premature ventricular contraction.The sole purpose of the signal detection is used to determ... This paper focuses on detecting diseased signals and arrhythmias classification into two classes:ventricular tachycardia and premature ventricular contraction.The sole purpose of the signal detection is used to determine if a signal has been collected from a healthy or sick person.The proposed research approach presents a mathematical model for the signal detector based on calculating the instantaneous frequency(IF).Once a signal taken from a patient is detected,then the classifier takes that signal as input and classifies the target disease by predicting the class label.While applying the classifier,templates are designed separately for ventricular tachycardia and premature ventricular contraction.Similarities of a given signal with both the templates are computed in the spectral domain.The empirical analysis reveals precisions for the detector and the applied classifier are 100%and 77.27%,respectively.Moreover,instantaneous frequency analysis provides a benchmark that IF of a normal signal ranges from 0.8 to 1.1 Hz whereas IF range for ventricular tachycardia and premature ventricular contraction is 0.08–0.6 Hz.This indicates a serious loss of high-frequency contents in the spectrum,implying that the heart’s overall activity is slowed down.This study may help medical practitioners in detecting the heart disease type based on signal analysis. 展开更多
关键词 Heart disease SIGNALS PREPROCESSING DETECTION machine learning
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Measuring the spatial and social characteristics of the architectural plans of aged care facilities 被引量:1
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作者 Ju Hyun lee Michael J. Ostwaid hyunsoo lee 《Frontiers of Architectural Research》 CSCD 2017年第4期431-441,共11页
This paper presents a method that combines visibility graph and isovist analyses to investigate the spatia[ and social properties of architectural plans for aged care facilities. The potential of the combined method i... This paper presents a method that combines visibility graph and isovist analyses to investigate the spatia[ and social properties of architectural plans for aged care facilities. The potential of the combined method is examined by measuring the properties of three sets of plans for residential aged care facilities. The first set is a pair of hypothetical, idealized plans, which allegedly reflect the "best practice" in the industry. The second set comprises a pair of plans for recent Australian designs, and the third set is a pair of plans for South Korean facilities. Results of the computational anatysis of these six plans suggest that social and cultural factors may shape the design of aged care settings and partially explain their international differences. The application of this methodological approach contributes to the understanding of the relation- ship between spaces and their cultural and social properties in the design of aged care facitities. 展开更多
关键词 Visibitity graph anaty-sis (VGA) Space Syntax Aged care facility Isovist property Sociocutturalcharacteristics
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Exploring the spatial arrangement of patient rooms for minimum nurse travel m hospital nursing units in Korea
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作者 Jisun lee hyunsoo lee Mardelle McCuskey Shepley 《Frontiers of Architectural Research》 CSCD 2020年第4期711-725,共15页
With in creasing dema nds on medical care services,one of the trends is the mixed patient room arrangement of single/double-bed and multi-bed rooms in a nursing unit on the same floor.This influences nurse-to-patient ... With in creasing dema nds on medical care services,one of the trends is the mixed patient room arrangement of single/double-bed and multi-bed rooms in a nursing unit on the same floor.This influences nurse-to-patient assignment and often causes an unbalanced workload and longer travel distances for nurses.The objective of this study was to investigate how floor configuration and room density influence nurse travel in the hospitafs medical surgical urdts in Korea.This study presented a novel approach to measure nurse travel distances in eight existingn ursing units.The agent-based simulation was con ducted to model nurses'walking trails,and the distanee of one nurse travel to assigned patient rooms was measured for each nurse.With revisions in the spatial arrangement of patient rooms,locating multibed rooms near the nurse station,symmetric room layout centering the nurse station,and planning both single/double-bed and multi-bed rooms on one side of corridors,nurse travel distanee decreased more than 15%.This study contributed to the knowledge of agent-based simulation as an evaluation framework for spatial analysis.Apart from application to Korea,these results are particularly of interest in countries where private patient rooms are not commonly economically feasible. 展开更多
关键词 Hospital nursing unit Nurse travel distanee Agent-based simulation Patient room arrangement Patient assignment
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