Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 4 de 4
Filtrar
1.
Sensors (Basel) ; 22(2)2022 Jan 17.
Artigo em Inglês | MEDLINE | ID: mdl-35062650

RESUMO

We established a web-based ubiquitous health management (UHM) system, "ECG4UHM", for processing ECG signals with AI-enabled models to recognize hybrid arrhythmia patterns, including atrial premature atrial complex (APC), atrial fibrillation (AFib), ventricular premature complex (VPC), and ventricular tachycardia (VT), versus normal sinus rhythm (NSR). The analytical model coupled machine learning methods, such as multiple layer perceptron (MLP), random forest (RF), support vector machine (SVM), and naive Bayes (NB), to process the hybrid patterns of four arrhythmia symptoms for AI computation. The data pre-processing used Hilbert-Huang transform (HHT) with empirical mode decomposition to calculate ECGs' intrinsic mode functions (IMFs). The area centroids of the IMFs' marginal Hilbert spectrum were suggested as the HHT-based features. We engaged the MATLABTM compiler and runtime server in the ECG4UHM to build the recognition modules for driving AI computation to identify the arrhythmia symptoms. The modeling extracted the crucial data sets from the MIT-BIH arrhythmia open database. The validated models, including the premature pattern (i.e., APC-VPC) and the fibril-rapid pattern (i.e., AFib-VT) against NSR, could reach the best area under the curve (AUC) of the receiver operating characteristic (ROC) of approximately 0.99. The models for all hybrid patterns, without VPC versus AFib and VT, achieved an average accuracy of approximately 90%. With the prediction test, the respective AUCs of the NSR and APC versus the AFib, VPC, and VT were 0.94 and 0.93 for the RF and SVM on average. The average accuracy and the AUC of the MLP, RF, and SVM models for APC-VT reached the value of 0.98. The self-developed system with AI computation modeling can be the backend of the intelligent social-health system that can recognize hybrid arrhythmia patterns in the UHM and home-isolated cares.


Assuntos
Fibrilação Atrial , Processamento de Sinais Assistido por Computador , Algoritmos , Teorema de Bayes , Eletrocardiografia , Humanos , Máquina de Vetores de Suporte
2.
Int J Nurs Stud ; 41(2): 191-8, 2004 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-14725783

RESUMO

The purpose of this study was to develop a computer-assisted multimedia training course for intravenous injection and evaluate its effect on the knowledge and self-perceived performance of intravenous injection for novice nurses. Eighty-one novice nurses randomly assigned to the experimental group and control group participated a designed training procedure and took pretest and posttests. The test results were analyzed using statistical methods. From the study it could be concluded that the training course had a significant effect on the intravenous injection's knowledge. Besides, a high rate of satisfaction for the multimedia program showed the self-developed program was successful.


Assuntos
Instrução por Computador/normas , Educação Continuada em Enfermagem/normas , Injeções Intravenosas/enfermagem , Capacitação em Serviço/normas , Multimídia/normas , Recursos Humanos de Enfermagem Hospitalar/educação , Adulto , Atitude do Pessoal de Saúde , Competência Clínica/normas , Avaliação Educacional , Feminino , Hospitais Universitários , Humanos , Masculino , Pesquisa em Educação em Enfermagem , Recursos Humanos de Enfermagem Hospitalar/psicologia , Avaliação de Programas e Projetos de Saúde , Autoeficácia
3.
Adv Health Sci Educ Theory Pract ; 13(1): 71-87, 2008 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-16944000

RESUMO

Cost-benefit management trends in Taiwan healthcare settings have led nurses to perform more invasive skills, such as Port-A cath administration of medications. Accordingly, nurses must be well-prepared prior to teaching by the mentor and supervision method. The purpose of the current study was to develop a computer-assisted protocol using virtual reality (VR) in performing Port-A cath as a training program for novice nurses. A pre-tested and post-tested control group experimental design was used in this study. Seventy-seven novice nurses were invited from one large medical center hospital in North Taiwan. Thirty-seven and forty nurses were randomly assigned to experimental and control groups. First, we designed a 40 minute port-A cath injection VR simulation. Then, the experimental group practiced this simulation two times over 3 weeks. The control group attended the traditional class. The post-test 1 was right after completion of the simulation practice. The post-test 2 was after the second simulation practice in 3 weeks. The results showed that most novice nurses lacked Port-A cath experience both in the classroom and during the period of their practice training. The knowledge score regarding the Port-A cath technique was significantly higher in the nurses that participated in the simulation training than in the control group. The novice nurses were most satisfied with the reduction in their fear of performing the Port-A cath technique and their enhanced clinical skills. VR simulation significantly reduced error rates and increased correct equipment selection, showing that nurses who participated in the simulation may be better prepared for inserting Port-A cath.


Assuntos
Cateterismo Venoso Central , Cateteres de Demora , Instrução por Computador/métodos , Educação em Enfermagem/métodos , Simulação por Computador , Instrução por Computador/economia , Educação em Enfermagem/economia , Humanos , Interface Usuário-Computador
4.
J Adv Nurs ; 49(4): 406-13, 2005 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-15701155

RESUMO

AIM: The aim of this paper is to report on the development and validation of an evaluation questionnaire for nursing websites. BACKGROUND: Increasing numbers of the general public and health care professionals are using the Internet to access health and health care-related information. The quality of such websites, therefore, needs to be evaluated. METHODS: A total of 24 websites in the United States and Taiwan, including websites in 13 leading schools and 11 hospitals, were selected as test websites. A total of 120 participants with Master's degrees in either nursing or mechanical engineering were invited to examine the 24 websites using a nursing website evaluation questionnaire. A 32-item questionnaire was developed, covering overall impression, download and switch speed, accessibility and convenience, web page content, service function and compatibility with common browsers. Participants were requested to connect to the specific websites and browse the contents before filling in the questionnaire. The results were arranged into 12 different sequences and prepared on a CD using Macromedia Dreamweaver. Data were analysed using Cronbach's alpha, Guttman split-half reliability and factor analysis. FINDINGS: Internal consistency was good, with a Cronbach's alpha of 0.93 in Part I and a KR-20 (Kuder Richardson) of 0.85 in Part II. Four factors given in Part I were identified as content truth, accessibility and convenience, speed and connection, and overall impression. CONCLUSION: The nursing website evaluation questionnaire had good construct validity and internal consistency.


Assuntos
Internet , Informática em Enfermagem , Pesquisa em Enfermagem , Adulto , Feminino , Humanos , Masculino , Inquéritos e Questionários
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA