Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749515
A. Chkeir, Doha Safieddine, Farah Chehade, J. Duchêne, D. Hewson, D. Bera, M. Collart, J. Novella, M. Dramé
Grip-strength, walking speed and weight-loss are key measurements in the evaluation of frailty. According to L. Fried, these quantities are compared with thresholds, leading to associated frailty indices that would afterwards be combined to establish an overall decision. One of the consequences of frailty is an increasing risk of falls, which are a major cause of death of older people. The purpose of this study is to examine the possible relationships that could exist between grip-strength, walking speed, weight-loss and other parameters extracted from balance quality assessment for older subjects. The study shows that a relationship does exist between the balance quality parameters and the frailty indices.
{"title":"Is there a relationship between frailty indices and balance assessment in older people?","authors":"A. Chkeir, Doha Safieddine, Farah Chehade, J. Duchêne, D. Hewson, D. Bera, M. Collart, J. Novella, M. Dramé","doi":"10.1109/HealthCom.2016.7749515","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749515","url":null,"abstract":"Grip-strength, walking speed and weight-loss are key measurements in the evaluation of frailty. According to L. Fried, these quantities are compared with thresholds, leading to associated frailty indices that would afterwards be combined to establish an overall decision. One of the consequences of frailty is an increasing risk of falls, which are a major cause of death of older people. The purpose of this study is to examine the possible relationships that could exist between grip-strength, walking speed, weight-loss and other parameters extracted from balance quality assessment for older subjects. The study shows that a relationship does exist between the balance quality parameters and the frailty indices.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127755067","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}
Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749494
Mashrura Tasnim, Rifat Shahriyar, Nowshin Nahar, Hossain Mahmud
Depression is a familiar psychological disorder caused by a combination of genetic, biological, environmental, and psychological factors. Untreated depression carries a high cost in terms of relationship problems, family suffering, and loss of work productivity. However diagnosis and treatment of depression is difficult due to varied severity, frequency, and duration of symptoms in depressed individuals. In this study, correlation between depression levels and behavioral trends of individuals has been established through a survey involving around 120 undergraduate students. The survey outcome is analyzed from a psychological viewpoint and finally some design implications on an automated system of depression detection and support system have been proposed.
{"title":"Intelligent depression detection and support system: Statistical analysis, psychological review and design implication","authors":"Mashrura Tasnim, Rifat Shahriyar, Nowshin Nahar, Hossain Mahmud","doi":"10.1109/HealthCom.2016.7749494","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749494","url":null,"abstract":"Depression is a familiar psychological disorder caused by a combination of genetic, biological, environmental, and psychological factors. Untreated depression carries a high cost in terms of relationship problems, family suffering, and loss of work productivity. However diagnosis and treatment of depression is difficult due to varied severity, frequency, and duration of symptoms in depressed individuals. In this study, correlation between depression levels and behavioral trends of individuals has been established through a survey involving around 120 undergraduate students. The survey outcome is analyzed from a psychological viewpoint and finally some design implications on an automated system of depression detection and support system have been proposed.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131734445","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}
Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749505
Y. Matsumoto, M. Ogawa, M. Tsuji
This study aims at evaluating the economic effect of a e-ambulance project, or emergency telemedicine in the rural areas in Kouchi Prefecture in Japan. Ambulances equipped with ICT devices which transmit images of acute patients to remote hospitals are focused on. Kouchi Prefecture started the e-ambulance project in Aki and Muroto Cities in 2012. From two cities, it takes approximately one hour to reach emergency hospitals located in Kouchi City, the prefectural capital. One of the merits of e-ambulance with the image transmitting system is that doctors in accepting hospitals can monitor real time situation of a patient and prepare for necessary treatment prior to the time patient arrives. They thus save time and effort. In measuring benefit, this study employs different methodology; the e-ambulance project enhances wellness of residents since they perceive more secure. Thus the CVM (Contingent valuation method) is applied and WTP (willingness to pay) is used as an index of benefit and estimated based on surveys to residents, which amounts to 1,747 yen per resident per year. Total cost calculated is 381,792,228 yen over three years, and accordingly, B/C ratio amounts 0.459.
{"title":"Economic evaluation of m-Health: Case of e-ambulance in Japan","authors":"Y. Matsumoto, M. Ogawa, M. Tsuji","doi":"10.1109/HealthCom.2016.7749505","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749505","url":null,"abstract":"This study aims at evaluating the economic effect of a e-ambulance project, or emergency telemedicine in the rural areas in Kouchi Prefecture in Japan. Ambulances equipped with ICT devices which transmit images of acute patients to remote hospitals are focused on. Kouchi Prefecture started the e-ambulance project in Aki and Muroto Cities in 2012. From two cities, it takes approximately one hour to reach emergency hospitals located in Kouchi City, the prefectural capital. One of the merits of e-ambulance with the image transmitting system is that doctors in accepting hospitals can monitor real time situation of a patient and prepare for necessary treatment prior to the time patient arrives. They thus save time and effort. In measuring benefit, this study employs different methodology; the e-ambulance project enhances wellness of residents since they perceive more secure. Thus the CVM (Contingent valuation method) is applied and WTP (willingness to pay) is used as an index of benefit and estimated based on surveys to residents, which amounts to 1,747 yen per resident per year. Total cost calculated is 381,792,228 yen over three years, and accordingly, B/C ratio amounts 0.459.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129961356","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}
Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749462
A. Paulin, Christoph Thuemmler
This paper describes the use of the Secure SQL Server system (SecSQL) - a system for dynamic fine-grained access control, in the context of e-Health. The system was used in two heterogeneous use-cases of a European project, namely: to govern drugs along the supply chain from the manufacturer to the consumer (to fight counterfeit drugs, and to recall drugs), and to govern the movement of things in the operating theatre. This way, the feasibility of SecSQL to be used as a system to dynamically govern fine-grained access control to Hippocratic data in the e-Health context has been demonstrated.
{"title":"Dynamic fine-grained access control in e-Health using: The secure SQL server system as an enabler of the future Internet","authors":"A. Paulin, Christoph Thuemmler","doi":"10.1109/HealthCom.2016.7749462","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749462","url":null,"abstract":"This paper describes the use of the Secure SQL Server system (SecSQL) - a system for dynamic fine-grained access control, in the context of e-Health. The system was used in two heterogeneous use-cases of a European project, namely: to govern drugs along the supply chain from the manufacturer to the consumer (to fight counterfeit drugs, and to recall drugs), and to govern the movement of things in the operating theatre. This way, the feasibility of SecSQL to be used as a system to dynamically govern fine-grained access control to Hippocratic data in the e-Health context has been demonstrated.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130320212","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}
Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749425
G. Dantanarayana, T. Sahama
Identification of appropriate performance measures in healthcare is fundamental for judging quality of service in any healthcare organisation. However, the dynamic nature of the healthcare context and complexity of stakeholder requirements have resulted in many difficulties in deciding appropriateness of performance factors to measure outcomes. Yet another facet that hinders achievement of successful performance measuring approaches is the unavailability of systematic guidance to identify the relationship between different types of performance measures. Further, it is important to analyse this relationship by using existing electronic data sets which will ensure the data quality in determining the healthcare service quality. This is an ongoing research attempting to establish a Return on Investment (ROI) model that could facilitate performance measurement of eHealth service deployment while overcoming the aforementioned deficiencies. The systematic guidance of deciding key performance factors considering different healthcare value perspectives in order to establish ROI metrics for the healthcare context, specifically in ICU clinical settings, have been introduced in this paper. It can be served as a theoretical basis in ensuring data quality in eHealth data sources. The advantage of the proposed guidance is in extracting appropriate key performance indicators for measuring outcomes of ICU clinical settings in terms of available process indicators while the relevant data for these indicators could be retrieved from the data warehouse.
{"title":"Metrics for eHealth services improvement","authors":"G. Dantanarayana, T. Sahama","doi":"10.1109/HealthCom.2016.7749425","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749425","url":null,"abstract":"Identification of appropriate performance measures in healthcare is fundamental for judging quality of service in any healthcare organisation. However, the dynamic nature of the healthcare context and complexity of stakeholder requirements have resulted in many difficulties in deciding appropriateness of performance factors to measure outcomes. Yet another facet that hinders achievement of successful performance measuring approaches is the unavailability of systematic guidance to identify the relationship between different types of performance measures. Further, it is important to analyse this relationship by using existing electronic data sets which will ensure the data quality in determining the healthcare service quality. This is an ongoing research attempting to establish a Return on Investment (ROI) model that could facilitate performance measurement of eHealth service deployment while overcoming the aforementioned deficiencies. The systematic guidance of deciding key performance factors considering different healthcare value perspectives in order to establish ROI metrics for the healthcare context, specifically in ICU clinical settings, have been introduced in this paper. It can be served as a theoretical basis in ensuring data quality in eHealth data sources. The advantage of the proposed guidance is in extracting appropriate key performance indicators for measuring outcomes of ICU clinical settings in terms of available process indicators while the relevant data for these indicators could be retrieved from the data warehouse.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123243436","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}
Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749435
R. B. Salah, T. Hadidi, I. B. Salah, K. Ouni, S. Mansouri, S. Chabchoub
The innovation of our method is to design a new techniques with multiple capabilities, autonomy and automatic applications in the tele-monitoring and diagnosis of some cardiovascular parameters relative to a certain categories of patients (elderly, children, pregnant women) with cardiovascular diseases. Theoretical model of transthoracic impedance is performed in order to determine aortic pressure with a non-invasive method: the bioimpedance method. The start idea is that aortic impedance variation depends on aortic section, which depends on systolic and diastolic pressure, during cardiac cycle. Theoretical relationships, between electrical bioimpedanc signal and aortic and ventricular pressures are therefore established. The second parameters are the cardiac output Q. The third parameters determined is the arterial compliance C. Results reflect those reached in bibliography, that Cp is significantly reduced in hypertensive patients (Cp=0.48 ± 0.09 E-10 m5.N; normal value of Cp is 1.76 ± 0.28 E-10 m5.N). All this parameters are monitored using telemedicine techniques.
{"title":"A non invasive and intelligent method for cardiovascular parameters tele-monitoring","authors":"R. B. Salah, T. Hadidi, I. B. Salah, K. Ouni, S. Mansouri, S. Chabchoub","doi":"10.1109/HealthCom.2016.7749435","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749435","url":null,"abstract":"The innovation of our method is to design a new techniques with multiple capabilities, autonomy and automatic applications in the tele-monitoring and diagnosis of some cardiovascular parameters relative to a certain categories of patients (elderly, children, pregnant women) with cardiovascular diseases. Theoretical model of transthoracic impedance is performed in order to determine aortic pressure with a non-invasive method: the bioimpedance method. The start idea is that aortic impedance variation depends on aortic section, which depends on systolic and diastolic pressure, during cardiac cycle. Theoretical relationships, between electrical bioimpedanc signal and aortic and ventricular pressures are therefore established. The second parameters are the cardiac output Q. The third parameters determined is the arterial compliance C. Results reflect those reached in bibliography, that Cp is significantly reduced in hypertensive patients (Cp=0.48 ± 0.09 E-10 m5.N; normal value of Cp is 1.76 ± 0.28 E-10 m5.N). All this parameters are monitored using telemedicine techniques.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122400296","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}
Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749529
S. Hemati, Sepideh Rahmani
In this work, we propose a physical gateway, which resembles a modified dental implant that goes directly through gum or other soft tissues inside the oral cavity, to establish a secure and permanent connection to wired implantable health monitoring and controlling (IHMC) devices and systems. The proposed physical gateway has parts acting as external access points that have terminals for cables, wires, fiber optics, or tubes that go through the gateway to IHMC devices and systems to allow transmission of signals or materials to or from the implanted devices. This novel feature can be utilized for powering IHMC devices and systems with high functionality and computational power. Furthermore, it facilitates securely communicating with IHMC devices and systems with vital duties and allows transferring materials for refilling the tanks inside these devices and systems or transferring some samples and substances from inside body to outside without requiring additional invasive operations.
{"title":"Exploiting dental implants for creating wired implantable health monitoring devices","authors":"S. Hemati, Sepideh Rahmani","doi":"10.1109/HealthCom.2016.7749529","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749529","url":null,"abstract":"In this work, we propose a physical gateway, which resembles a modified dental implant that goes directly through gum or other soft tissues inside the oral cavity, to establish a secure and permanent connection to wired implantable health monitoring and controlling (IHMC) devices and systems. The proposed physical gateway has parts acting as external access points that have terminals for cables, wires, fiber optics, or tubes that go through the gateway to IHMC devices and systems to allow transmission of signals or materials to or from the implanted devices. This novel feature can be utilized for powering IHMC devices and systems with high functionality and computational power. Furthermore, it facilitates securely communicating with IHMC devices and systems with vital duties and allows transferring materials for refilling the tanks inside these devices and systems or transferring some samples and substances from inside body to outside without requiring additional invasive operations.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129701669","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}
Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749489
F. Pecoraro, D. Luzi, E. Pourabbas, F. Ricci
The increasing demand for home care due to the growing number of older people with an increased incidence of multiple chronic conditions requires the adoption of technological innovation that can improve the integration and coordination of health and social services. This paper presents the H@H platform that aims to improve the coordination and cooperation among stakeholders facilitating the provision of care services in a continuity of care framework. Moreover, a conceptual model that combines the main concepts of the ContSys standard with social care components and with assistive domotics linked to the lifestyle and healthy behavior is proposed. Finally, a scenario that depicts the application of the integrated approach to a subject affected from metabolic syndrome is presented.
{"title":"A conceptual model for integrating social and health care services at home: The H@H project","authors":"F. Pecoraro, D. Luzi, E. Pourabbas, F. Ricci","doi":"10.1109/HealthCom.2016.7749489","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749489","url":null,"abstract":"The increasing demand for home care due to the growing number of older people with an increased incidence of multiple chronic conditions requires the adoption of technological innovation that can improve the integration and coordination of health and social services. This paper presents the H@H platform that aims to improve the coordination and cooperation among stakeholders facilitating the provision of care services in a continuity of care framework. Moreover, a conceptual model that combines the main concepts of the ContSys standard with social care components and with assistive domotics linked to the lifestyle and healthy behavior is proposed. Finally, a scenario that depicts the application of the integrated approach to a subject affected from metabolic syndrome is presented.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130377640","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}
Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749536
W. Buchanan, N. V. Deursen
Information security threat intelligence is a prevalent topic amongst researchers, long-established IT-vendors and start-ups. The possibilities of Big Data analytics to security threat and vulnerability scanning offer a significant development in the protection of infrastructures. At the same time, industry research reports continue to state that the main contributing factor in the events leading to a data breach is human error. The common response of information security professionals is to resort to technological solutions to prevent these human errors. However, some very important information security intelligence is not hidden within the network traffic: it's available from the people that work with sensitive information. This article describes the Health Information risk (HI-risk) method to identify non-technical information security risks in healthcare. The method includes risks related to skills, behaviour, processes, organisational culture, physical security, and external influences. HI-risk offers a solution to collect intelligence about nontechnical information security incidents from across the healthcare sector to demonstrate past trends and to be ahead of future incidents. A test of a HI-risk forecast proved the feasibility of this approach in healthcare and beyond. It is suggested that HI-risk could become a valuable addition to existing technical threat and vulnerability monitoring tools.
{"title":"HI-risk: A method to analyse health information risk intelligence","authors":"W. Buchanan, N. V. Deursen","doi":"10.1109/HealthCom.2016.7749536","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749536","url":null,"abstract":"Information security threat intelligence is a prevalent topic amongst researchers, long-established IT-vendors and start-ups. The possibilities of Big Data analytics to security threat and vulnerability scanning offer a significant development in the protection of infrastructures. At the same time, industry research reports continue to state that the main contributing factor in the events leading to a data breach is human error. The common response of information security professionals is to resort to technological solutions to prevent these human errors. However, some very important information security intelligence is not hidden within the network traffic: it's available from the people that work with sensitive information. This article describes the Health Information risk (HI-risk) method to identify non-technical information security risks in healthcare. The method includes risks related to skills, behaviour, processes, organisational culture, physical security, and external influences. HI-risk offers a solution to collect intelligence about nontechnical information security incidents from across the healthcare sector to demonstrate past trends and to be ahead of future incidents. A test of a HI-risk forecast proved the feasibility of this approach in healthcare and beyond. It is suggested that HI-risk could become a valuable addition to existing technical threat and vulnerability monitoring tools.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128743629","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}
Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749468
A. Pinho, Nuno Pombo, N. Garcia
This paper presents a suitable and efficient implementation for detecting minute based analysis of sleep apnea by Electrocardiogram (ECG) signal processing. Using the PhysioNet apnea-ECG database, a median filter was applied to the recordings in order to obtain the Heart Rate Variability (HRV) and the ECG-derived respiration (EDR). The subsequent extracted features were used for training, testing and validation of a Artificial Neural Network (ANN). Training and testing sets were obtained by randomly divide the data until it reaches a good performance using a k-fold cross validation (k=10). According to results, the ANN classification has sufficient accuracy for sleep apnea detection and diagnosis (82,120%). This promising early-stage result may leads to complementary studies including alternative features selection methods and/or other classification models.
{"title":"Sleep apnea detection using a feed-forward neural network on ECG signal","authors":"A. Pinho, Nuno Pombo, N. Garcia","doi":"10.1109/HealthCom.2016.7749468","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749468","url":null,"abstract":"This paper presents a suitable and efficient implementation for detecting minute based analysis of sleep apnea by Electrocardiogram (ECG) signal processing. Using the PhysioNet apnea-ECG database, a median filter was applied to the recordings in order to obtain the Heart Rate Variability (HRV) and the ECG-derived respiration (EDR). The subsequent extracted features were used for training, testing and validation of a Artificial Neural Network (ANN). Training and testing sets were obtained by randomly divide the data until it reaches a good performance using a k-fold cross validation (k=10). According to results, the ANN classification has sufficient accuracy for sleep apnea detection and diagnosis (82,120%). This promising early-stage result may leads to complementary studies including alternative features selection methods and/or other classification models.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130898602","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}
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