2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom)最新文献

Performance evaluation of ZigBee network for multi-patient cardiac monitoring in intra-hospital scenario ZigBee网络在院内多病人心脏监测中的性能评价

2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) Pub Date : 2014-11-01 DOI: 10.1109/MEDCOM.2014.7006045

Tarique Rashid, B. Kumar, Shashwat Pathak, Arvind Kumar

引用次数: 3

Comparitive analysis of various cloud based biomedcial services 各种基于云的生物医学服务的比较分析

2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) Pub Date : 2014-11-01 DOI: 10.1109/MEDCOM.2014.7006038

Abhinav Hans, S. Kalra

引用次数: 2

Myocardial infarction detection using magnitude squared coherence and Support Vector Machine 基于幅度平方相干性和支持向量机的心肌梗死检测

2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) Pub Date : 2014-11-01 DOI: 10.1109/MEDCOM.2014.7006037

K. Padmavathi, K. R. Krishna

引用次数: 21

Extraction and analysis of nail-fold capillaries 甲襞毛细血管的提取与分析

2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) Pub Date : 2014-11-01 DOI: 10.1109/MEDCOM.2014.7005986

S. Charan, K. Suma, B. Rao

引用次数: 0

Machine learning approach for epileptic seizure detection using wavelet analysis of EEG signals 基于脑电信号小波分析的癫痫发作检测的机器学习方法

2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) Pub Date : 2014-11-01 DOI: 10.1109/MEDCOM.2014.7006043

Abhishek Kumar, M. Kolekar

引用次数: 44

Multiple narrowband interference mitigation in UWB body area networks for body surface communications 体表通信中UWB体域网络的多窄带干扰抑制

2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) Pub Date : 2014-11-01 DOI: 10.1109/MEDCOM.2014.7006000

D. K. Rout, Susmita Das

引用次数: 1

Emotional speech characterization for real time applications in real environments 情感语音表征在真实环境中的实时应用

2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) Pub Date : 2014-11-01 DOI: 10.1109/MEDCOM.2014.7005994

J. B. Alonso, Josue Cabrera, Miguel A. Ferrer, J. M. Canino, C. Travieso, M. Dutta, Anushikha Singh

引用次数: 0

An improved medical image fusion approach using PCA and complex wavelets 基于PCA和复小波的医学图像融合方法

2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) Pub Date : 2014-11-01 DOI: 10.1109/MEDCOM.2014.7006049

Himanshi, V. Bhateja, Abhinav Krishn, Akanksha Sahu

引用次数: 29

Machine intelligence based identification of body movements in Ambulatory ECG (A-ECG) 基于机器智能的动态心电图(A-ECG)身体运动识别

2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) Pub Date : 2014-11-01 DOI: 10.1109/MEDCOM.2014.7005980

Dixit V. Bhoraniya, R. Kher

{"title":"Machine intelligence based identification of body movements in Ambulatory ECG (A-ECG)","authors":"Dixit V. Bhoraniya, R. Kher","doi":"10.1109/MEDCOM.2014.7005980","DOIUrl":"https://doi.org/10.1109/MEDCOM.2014.7005980","url":null,"abstract":"Ambulatory ECG signal (A-ECG) is useful when long term cardiac monitoring of a patient is necessary. Ambulatory ECG monitoring provides electrical activity of the heart while a person is involved in doing his or her normal routine activities. Thus, the recorded ECG signal consists of cardiac signal along with motion artifacts introduced due to person's body movements during routine activities. This motion artifact has spectral overlap with cardiac signal in 1-10 Hz which corresponds to ECG features like P wave and T wave. These artifacts due to different physical activities (PA) might help in further cardiac diagnosis. For Classification of body movements, first the motion artifacts from A-ECG have been extracted using Adaptive filtering and discrete wavelet transform (DWT) approaches. The statistical parameters such as mean, median, variance, max value of extracted motion artifact signals are calculated. After that feature vector is created by combining principal components and above four parameters of respective motion artifacts signals. These combine features are fed to multilayer feed-forward neural network (MLPFNN) for classification. For this work the ECG signals of six healthy subjects (aged of 19 to 26 years) were recorded while the person performs various body movements activity like (i) up and down movement of left hand, (ii) up and down movement of right hand, (iii) waist twisting movement while standing and (iv) change in position from sitting down on chair to standing up movement in lead I configuration by using BIOPAC MP 36 signal acquiring system.","PeriodicalId":246177,"journal":{"name":"2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123594809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Design of single stage integrated bridgeless-boost PFC converter 单级集成无桥升压PFC变换器的设计

2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) Pub Date : 2014-11-01 DOI: 10.1109/MEDCOM.2014.7006052

G. Anand, Shri S. K. Singh

{"title":"Design of single stage integrated bridgeless-boost PFC converter","authors":"G. Anand, Shri S. K. Singh","doi":"10.1109/MEDCOM.2014.7006052","DOIUrl":"https://doi.org/10.1109/MEDCOM.2014.7006052","url":null,"abstract":"DC power supplies are used in the extreme way in almost all electronic and electrical appliances eg : personal computers, audio sets, TV, Adapters etc. This paper discusses the reduced high conduction losses & increased efficiency of the proposed integrated Bridgeless-Boost PFC converter. By modifying the circuit according to the technology and the necessity the overall power factor can be improved to the expectation of user. The cause of having low power factor in the bridgeless power factor converter is the presence of two energy conversion stages. These stages cause more conduction losses into the circuit. In this paper research is advanced and preceded on the concept of single stage power converter. This highly efficient single stage integrated Bridgeless-Boost power factor correction converter is proposed. Introduction of the Bridgeless-Boost rectifier is given in the first section i.e. SECTION I showing how the BBPFC overcomes the drawbacks of the conventional boost PFC circuit. SECTION II explains the different approaches used for integration of PFC circuits. In SECTION III the proposed circuit is introduced and its complete operating modes are explained. Then finally superiority of the proposed circuit is verified by doing the simulation and verifying the results in the last section. Complete experimental analysis of the circuit is done on 230V ac, 50 Hz. Thus this paper introduces the Integrated Bridgeless-Boost PFC Converter along with the verification with the simulated and experimented results.","PeriodicalId":246177,"journal":{"name":"2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124967299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6