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.2016.7749490
Rute C. Sofia, S. Firdose, L. A. Lopes, W. Moreira, Paulo Mendes
In the context of social well-being and context awareness several eHealth applications have been focused on tracking activities, such as sleep or specific fitness habits, with the purpose of promoting physical well-being with increasing success. Sensing technology can, however, be applied to improve social well-being, in addition to physical well-being. This paper addresses NSense, a tool that has been developed to capture and to infer social interaction patterns aiming to assist in the promotion of social well-being. Experiments carried out under realistic settings validate the NSense performance in terms of its capability to infer social interaction context based on our proposed computational utility functions. Traces obtained during the experiments are available via the CRAWDAD international trace repository.
{"title":"NSense: A people-centric, non-intrusive opportunistic sensing tool for contextualizing nearness","authors":"Rute C. Sofia, S. Firdose, L. A. Lopes, W. Moreira, Paulo Mendes","doi":"10.1109/HealthCom.2016.7749490","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749490","url":null,"abstract":"In the context of social well-being and context awareness several eHealth applications have been focused on tracking activities, such as sleep or specific fitness habits, with the purpose of promoting physical well-being with increasing success. Sensing technology can, however, be applied to improve social well-being, in addition to physical well-being. This paper addresses NSense, a tool that has been developed to capture and to infer social interaction patterns aiming to assist in the promotion of social well-being. Experiments carried out under realistic settings validate the NSense performance in terms of its capability to infer social interaction context based on our proposed computational utility functions. Traces obtained during the experiments are available via the CRAWDAD international trace repository.","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":"133792358","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.2016.7749507
E. Sarra, T. Ezzedine
WBAN offers promising and innovative applications that enhance the quality of services provided by the healthcare system; it improves patient's quality of life and saves his lives in many situations. WBAN is composed of tiny medical devices on or implanted in the human body and continuously monitors patient's health. The wireless interface and the mobility of the body network enable easier, practical and less cost applications. WBAN provides uninterrupted distantly health monitoring of patient while he is doing his daily activity and it expect to efficiently deliver emergency collected vital signs to the concerned medical entity. However, the high contention level inside the WBAN, the presence of external collocated wireless network and the use of a shared medium, invoke packet collisions and thus affect the communication quality and reliability of the WBAN. Our goal in this article is to analyse the interference's problem of the WBAN based IEEE 802.15.4 protocol in the presence of Wi-Fi transmitters. We opt also for an adequate simulator and configurable mobility model to investigate different effects of the WBAN density as well as the increase number of Wi-Fi transmitters on the performance of the WBAN. We finally propose a simple, no cost and convenient parameters adjustment method to improve the WBAN's capacity, packet delivery, packet transmission and packet delay.
{"title":"Performance improvement of the wireless body area network (WBAN) under interferences","authors":"E. Sarra, T. Ezzedine","doi":"10.1109/HealthCom.2016.7749507","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749507","url":null,"abstract":"WBAN offers promising and innovative applications that enhance the quality of services provided by the healthcare system; it improves patient's quality of life and saves his lives in many situations. WBAN is composed of tiny medical devices on or implanted in the human body and continuously monitors patient's health. The wireless interface and the mobility of the body network enable easier, practical and less cost applications. WBAN provides uninterrupted distantly health monitoring of patient while he is doing his daily activity and it expect to efficiently deliver emergency collected vital signs to the concerned medical entity. However, the high contention level inside the WBAN, the presence of external collocated wireless network and the use of a shared medium, invoke packet collisions and thus affect the communication quality and reliability of the WBAN. Our goal in this article is to analyse the interference's problem of the WBAN based IEEE 802.15.4 protocol in the presence of Wi-Fi transmitters. We opt also for an adequate simulator and configurable mobility model to investigate different effects of the WBAN density as well as the increase number of Wi-Fi transmitters on the performance of the WBAN. We finally propose a simple, no cost and convenient parameters adjustment method to improve the WBAN's capacity, packet delivery, packet transmission and packet delay.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"14 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":"130030564","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.2016.7749508
Zhiqiang Liu, B. Liu, C. Chen
Wireless Body Area Network (WBAN) represents one of the most promising networks to provide health applications for improving the quality of life, such as ubiquitous e-Health services and real-time health monitoring. The resource allocation of an energy-constrained, heterogeneous WBAN is a critical issue that should consider both energy efficiency and Quality of Service (QoS) requirements with the dynamic link characteristics, especially when the limited resource cannot satisfy the expected QoS requirements. In this paper, a buffer aware Energy-efficient and QoS-effective resource allocation scheme is proposed in which the sensor queue buffer states, constraints of QoS metrics and the characteristics of dynamic links are considered. Specifically, a buffer aware sensor evaluation method is designed to dynamically evaluate the sensor state with considering the sensor buffer states for improving the system performance. We then formulate the resource allocation problem for optimizing the transmission power, the transmission rate and the allocated time slots for each sensor to minimize the sum mix-cost, which is defined to characterize the energy cost and QoS cost between attainable QoS support and QoS requirements. Simulation results demonstrate the effectiveness of the buffer aware sensor evaluation method and the proposed energy-efficient and QoS-effective resource allocation scheme.
{"title":"Buffer-aware and QoS-effective resource allocation scheme in WBANs","authors":"Zhiqiang Liu, B. Liu, C. Chen","doi":"10.1109/HealthCom.2016.7749508","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749508","url":null,"abstract":"Wireless Body Area Network (WBAN) represents one of the most promising networks to provide health applications for improving the quality of life, such as ubiquitous e-Health services and real-time health monitoring. The resource allocation of an energy-constrained, heterogeneous WBAN is a critical issue that should consider both energy efficiency and Quality of Service (QoS) requirements with the dynamic link characteristics, especially when the limited resource cannot satisfy the expected QoS requirements. In this paper, a buffer aware Energy-efficient and QoS-effective resource allocation scheme is proposed in which the sensor queue buffer states, constraints of QoS metrics and the characteristics of dynamic links are considered. Specifically, a buffer aware sensor evaluation method is designed to dynamically evaluate the sensor state with considering the sensor buffer states for improving the system performance. We then formulate the resource allocation problem for optimizing the transmission power, the transmission rate and the allocated time slots for each sensor to minimize the sum mix-cost, which is defined to characterize the energy cost and QoS cost between attainable QoS support and QoS requirements. Simulation results demonstrate the effectiveness of the buffer aware sensor evaluation method and the proposed energy-efficient and QoS-effective resource allocation scheme.","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":"124904361","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.2016.7749451
F. Nammour, K. Danas, N. Mansour
Patient information in healthcare organizations is distributed across several systems and data silos. Clinicians make decisions based on data in patient health records. Improving the efficiency of decision-support requires collective knowledge of all patient information. The classical approach of linking patient data from many databases into one data warehouse poses various problems when it comes to building clinical analytics. An implementation of the Performance Measurement and Management approach used in Engineering and Business is adapted to healthcare scenarios, and a new system is developed that allows clinicians that are not technical professionals to develop, test and apply custom analytics to patient health data. Part I of this paper is an introduction to the problems and current situation in healthcare data analytics. Part II states the aim and objectives. Part III explains the system design and its modular components. Part IV presents the results of three performance indicators evaluated through the system, and evaluates the system through technical and clinical usability methods. Part V concludes and discusses future work.
{"title":"CorporateMeasures: A clinical analytics framework leading to clinical intelligence","authors":"F. Nammour, K. Danas, N. Mansour","doi":"10.1109/HealthCom.2016.7749451","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749451","url":null,"abstract":"Patient information in healthcare organizations is distributed across several systems and data silos. Clinicians make decisions based on data in patient health records. Improving the efficiency of decision-support requires collective knowledge of all patient information. The classical approach of linking patient data from many databases into one data warehouse poses various problems when it comes to building clinical analytics. An implementation of the Performance Measurement and Management approach used in Engineering and Business is adapted to healthcare scenarios, and a new system is developed that allows clinicians that are not technical professionals to develop, test and apply custom analytics to patient health data. Part I of this paper is an introduction to the problems and current situation in healthcare data analytics. Part II states the aim and objectives. Part III explains the system design and its modular components. Part IV presents the results of three performance indicators evaluated through the system, and evaluates the system through technical and clinical usability methods. Part V concludes and discusses future work.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"25 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":"124840841","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.2016.7749480
A. A. Iskandar, Reiner Kolla, K. Schilling, W. Völker
Nowadays, people are getting more and more concern on their own fitness conditions and it has become a digital healthy lifestyle movement. A basic activity tracker has given many data on the user's movement to fulfill their daily goal of calories burned. An advance tracker can also measure heart rate with accurate activity intense level. However, consider if these fitness devices can be used for clinical diagnosis by adding an ECG, then it can be a daily health monitoring or a health assisted device by connecting it to the internet via a smartphone. To use an ECG as a wearable device, the electrode positions has to fulfill the clinical placement. A new biomedical electrodes placement is proposed in this paper to meet the practicality of a fitness lifestyle device but has a medical ECG result for continuous heart monitoring in a form of a necklace. The device has a single lead ECG analog front end that is connected to an ARM-Cortex M4 microcontroller. It uses a 4 GB memory card, rechargeable battery, and a Bluetooth Low Energy 4.0 to communicate with an Android 4.3 smartphone. The test results were taken from a 32-year-old male subject with normal heart condition. The signal acquired from the electrode placement at the backside of the neck shows Lead I waveform with 10% from the normal position amplitude value. The R-wave of every heartbeat can be seen for heart rate calculation. Therefore, it is able to do a daily heart monitoring with a lifestyle device.
{"title":"A wearable 1-lead necklace ECG for continuous heart rate monitoring","authors":"A. A. Iskandar, Reiner Kolla, K. Schilling, W. Völker","doi":"10.1109/HealthCom.2016.7749480","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749480","url":null,"abstract":"Nowadays, people are getting more and more concern on their own fitness conditions and it has become a digital healthy lifestyle movement. A basic activity tracker has given many data on the user's movement to fulfill their daily goal of calories burned. An advance tracker can also measure heart rate with accurate activity intense level. However, consider if these fitness devices can be used for clinical diagnosis by adding an ECG, then it can be a daily health monitoring or a health assisted device by connecting it to the internet via a smartphone. To use an ECG as a wearable device, the electrode positions has to fulfill the clinical placement. A new biomedical electrodes placement is proposed in this paper to meet the practicality of a fitness lifestyle device but has a medical ECG result for continuous heart monitoring in a form of a necklace. The device has a single lead ECG analog front end that is connected to an ARM-Cortex M4 microcontroller. It uses a 4 GB memory card, rechargeable battery, and a Bluetooth Low Energy 4.0 to communicate with an Android 4.3 smartphone. The test results were taken from a 32-year-old male subject with normal heart condition. The signal acquired from the electrode placement at the backside of the neck shows Lead I waveform with 10% from the normal position amplitude value. The R-wave of every heartbeat can be seen for heart rate calculation. Therefore, it is able to do a daily heart monitoring with a lifestyle device.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"134 7 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":"124257716","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.2016.7749479
Sanjay P. Nair, Matin Kheirkhahan, A. Davoudi, Parisa Rashidi, A. Wanigatunga, D. Corbett, T. Manini, Sanjay Ranka
Mobile health (mHealth) based on smartphone and smartwatch technology is changing the landscape for how patients and research participants communicate about their health in real time. Flexible control of the different interconnected and frequently communicating mobile devices can provide a rich set of health care applications that can adapt dynamically to their environment. In this paper, we propose a real-time online activity and mobility monitoring (ROAMM) framework consisting of a smart-watch application for data collection, a server for data storage and retrieval as well as online monitoring and administrative tasks. We evaluated this framework to collect actigraphy data on the wrist and used it for feature detection and classification of different tasks of daily living conducted by participants. The information retrieved from the smartwatches yielded high accuracy for sedentary behavior prediction (accuracy = 97.44%) and acceptable performance for activity intensity level estimation (rMSE = 0.67 and R2 = 0.52).
{"title":"ROAMM: A software infrastructure for real-time monitoring of personal health","authors":"Sanjay P. Nair, Matin Kheirkhahan, A. Davoudi, Parisa Rashidi, A. Wanigatunga, D. Corbett, T. Manini, Sanjay Ranka","doi":"10.1109/HEALTHCOM.2016.7749479","DOIUrl":"https://doi.org/10.1109/HEALTHCOM.2016.7749479","url":null,"abstract":"Mobile health (mHealth) based on smartphone and smartwatch technology is changing the landscape for how patients and research participants communicate about their health in real time. Flexible control of the different interconnected and frequently communicating mobile devices can provide a rich set of health care applications that can adapt dynamically to their environment. In this paper, we propose a real-time online activity and mobility monitoring (ROAMM) framework consisting of a smart-watch application for data collection, a server for data storage and retrieval as well as online monitoring and administrative tasks. We evaluated this framework to collect actigraphy data on the wrist and used it for feature detection and classification of different tasks of daily living conducted by participants. The information retrieved from the smartwatches yielded high accuracy for sedentary behavior prediction (accuracy = 97.44%) and acceptable performance for activity intensity level estimation (rMSE = 0.67 and R2 = 0.52).","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"52 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":"131042773","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.2016.7749430
Amal Naseem, M. Jabloun, P. Ravier, O. Buttelli
We propose to apply the Gaussian Mixture Model (GMM) to surface electromyography (sEMG) signals in order to detect the muscular activation (MA) onset, timing off and intervals. First, classical time and frequency features are extracted from the sEMG signals, beside the Teager-Kaiser energy operator (TKEO) is evaluated and added as a new feature which enhances the detection performance. All the obtained features are then used as the input for the GMM to conduct the binary clustering. Finally, a decision theory is applied in order to declare sEMG activation timing of human skeletal museles during movement. Accuracy and precision of the algorithm are assessed by using a set of synthetic simulated sEMG signals and real ones. A comparison with two previously published techniques is conducted: wavelet transform-based method and double threshold-based method. Our experimental results prove that the proposed GMM-based algorithm is able to accurately reveal the MA timing with performance beyond that of the state-of-the-art methods. Moreover, this proposed algorithm is automatic and user-independent.
{"title":"Muscular activation intervals detection using gaussian mixture model GMM applied to sEMG signals","authors":"Amal Naseem, M. Jabloun, P. Ravier, O. Buttelli","doi":"10.1109/HealthCom.2016.7749430","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749430","url":null,"abstract":"We propose to apply the Gaussian Mixture Model (GMM) to surface electromyography (sEMG) signals in order to detect the muscular activation (MA) onset, timing off and intervals. First, classical time and frequency features are extracted from the sEMG signals, beside the Teager-Kaiser energy operator (TKEO) is evaluated and added as a new feature which enhances the detection performance. All the obtained features are then used as the input for the GMM to conduct the binary clustering. Finally, a decision theory is applied in order to declare sEMG activation timing of human skeletal museles during movement. Accuracy and precision of the algorithm are assessed by using a set of synthetic simulated sEMG signals and real ones. A comparison with two previously published techniques is conducted: wavelet transform-based method and double threshold-based method. Our experimental results prove that the proposed GMM-based algorithm is able to accurately reveal the MA timing with performance beyond that of the state-of-the-art methods. Moreover, this proposed algorithm is automatic and user-independent.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"24 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":"129960080","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.2016.7749499
G. Tommasone, M. Bazzani, V. Solinas, P. Serafini
Health education for pregnant women is one of the aims chased by using mobile applications for health prevention and healthy lifestyle promotion. The literature claims the lack of mobile applications with evidence-based information and supported by health professionals. This paper deals with the design, the implementation, and the evaluation of a service for healthy women with a normal pregnancy aimed at promoting healthy lifestyles, monitoring the eating habits and the physical activity, for educational purposes and overweight and obesity prevention in pregnancy.
{"title":"Midwifery E-Health: From design to validation of “Mammastyle — Gravidanza Fisiologica”","authors":"G. Tommasone, M. Bazzani, V. Solinas, P. Serafini","doi":"10.1109/HealthCom.2016.7749499","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749499","url":null,"abstract":"Health education for pregnant women is one of the aims chased by using mobile applications for health prevention and healthy lifestyle promotion. The literature claims the lack of mobile applications with evidence-based information and supported by health professionals. This paper deals with the design, the implementation, and the evaluation of a service for healthy women with a normal pregnancy aimed at promoting healthy lifestyles, monitoring the eating habits and the physical activity, for educational purposes and overweight and obesity prevention in pregnancy.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"317 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":"122151780","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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