Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001824
G. Kalogridis, Saraansh Dave
The societal need for better public healthcare calls for granular, continuous, nationwide instrumentation and data fusion technologies. However, the current trend of centralised (database) health analytics gives rise to data privacy issues. This paper proposes sensor data mining algorithms that help infer health/well-being related lifestyle patterns and anomalous (or privacy-sensitive) events. Such algorithms enable a user-centric context awareness at the network edge, which can be used for decentralised eHealth decision making and privacy protection by design. The main hypothesis of this work involves the detection of atypical behaviours from a given stream of energy consumption data recorded at eight houses over a period of a year for cooking, microwave, and TV activities. Our initial exploratory results suggest that in the case of an unemployed single resident, the day-by-day variability of TV or microwave operation, in conjunction with the variability of the absence of other cooking activity, is more significant as compared with the variability of other combinations of activities. The proposed methodology brings together appliance monitoring, privacy, and anomaly detection within a healthcare context, which is readily scalable to include other health-related sensor streams.
{"title":"Privacy and eHealth-enabled smart meter informatics","authors":"G. Kalogridis, Saraansh Dave","doi":"10.1109/HealthCom.2014.7001824","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001824","url":null,"abstract":"The societal need for better public healthcare calls for granular, continuous, nationwide instrumentation and data fusion technologies. However, the current trend of centralised (database) health analytics gives rise to data privacy issues. This paper proposes sensor data mining algorithms that help infer health/well-being related lifestyle patterns and anomalous (or privacy-sensitive) events. Such algorithms enable a user-centric context awareness at the network edge, which can be used for decentralised eHealth decision making and privacy protection by design. The main hypothesis of this work involves the detection of atypical behaviours from a given stream of energy consumption data recorded at eight houses over a period of a year for cooking, microwave, and TV activities. Our initial exploratory results suggest that in the case of an unemployed single resident, the day-by-day variability of TV or microwave operation, in conjunction with the variability of the absence of other cooking activity, is more significant as compared with the variability of other combinations of activities. The proposed methodology brings together appliance monitoring, privacy, and anomaly detection within a healthcare context, which is readily scalable to include other health-related sensor streams.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130277705","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001831
A. Benharref, M. Serhani, R. Mizouni
Nowadays, mobile applications/devices have become the trends, especially, when they were gradually shifted from basic communication services to supporting more sophisticated service provisioning. Mobile applications are usually very light, are nowadays likely to be often connected to the Internet, and can be used quite easily. However, these applications exhibit some challenges related to limited resources they have access to, including limited processing power, memory, storage size, battery power, and intermittent network connection. In fact, these considerations have to be taken seriously into consideration when developing mobile applications especially if those applications will be used for critical services, for example, to collect and report vital health data over a long period of time. In this paper, we study the use of mobile applications for monitoring patient's vital. Mobile devices, through an application, are connected to body-strapped biosensors to collect and synchronize these parameters with information systems. This synchronization should be done in such a way that the cost of synchronization is kept low and urgent readings are delivered as soon as possible. To optimize the synchronization process and reduce its cost, we propose and validate cost-oriented algorithms. A case study is developed to illustrate the applicability and effectiveness of our innovative techniques in making continuous monitoring an efficient process.
{"title":"Smart data synchronization in m-Health monitoring applications","authors":"A. Benharref, M. Serhani, R. Mizouni","doi":"10.1109/HealthCom.2014.7001831","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001831","url":null,"abstract":"Nowadays, mobile applications/devices have become the trends, especially, when they were gradually shifted from basic communication services to supporting more sophisticated service provisioning. Mobile applications are usually very light, are nowadays likely to be often connected to the Internet, and can be used quite easily. However, these applications exhibit some challenges related to limited resources they have access to, including limited processing power, memory, storage size, battery power, and intermittent network connection. In fact, these considerations have to be taken seriously into consideration when developing mobile applications especially if those applications will be used for critical services, for example, to collect and report vital health data over a long period of time. In this paper, we study the use of mobile applications for monitoring patient's vital. Mobile devices, through an application, are connected to body-strapped biosensors to collect and synchronize these parameters with information systems. This synchronization should be done in such a way that the cost of synchronization is kept low and urgent readings are delivered as soon as possible. To optimize the synchronization process and reduce its cost, we propose and validate cost-oriented algorithms. A case study is developed to illustrate the applicability and effectiveness of our innovative techniques in making continuous monitoring an efficient process.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131356825","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 : 2014-10-01DOI: 10.1109/HEALTHCOM.2014.7001880
N. Rodríguez, J. Lilius, Sebu Björklund, J. Majors, K. Rautanen, Riitta Danielsson-Ojala, Hanna Pirinen, Lotta Kauhanen, S. Salanterä, T. Salakoski, Ilona Tuominen
Filling medication trays and dispensing them at hospital wards is a painstaking, time-consuming and tedious task involving searching for medication in large shelves, double checking in the daily filled tray that the appearance, amount and concentration of each medication corresponds to the prescription, as well as analysing the timing conditions, among other details. Finally, if needed, finding equivalent compounds containing no secondary effects is also crucial, as well as being aware of the dynamically changing treatments in patients located, e.g., in surgery wards. Once the tray is filled, similar concerns and checks need to be done before dispensing the medication to the patient. We conducted a pilot in two university hospital wards using eye-tracking glasses and stress response to assess the tasks that take time the most and are most meticulous or stressing for the nurses. The aim is to use the findings to implement a mobile application that helps saving time and proneness to errors daily in such complex nursing procedures.
{"title":"Can IT health-care applications improve the medication tray-filling process at hospital wards? An exploratory study using eye-tracking and stress response","authors":"N. Rodríguez, J. Lilius, Sebu Björklund, J. Majors, K. Rautanen, Riitta Danielsson-Ojala, Hanna Pirinen, Lotta Kauhanen, S. Salanterä, T. Salakoski, Ilona Tuominen","doi":"10.1109/HEALTHCOM.2014.7001880","DOIUrl":"https://doi.org/10.1109/HEALTHCOM.2014.7001880","url":null,"abstract":"Filling medication trays and dispensing them at hospital wards is a painstaking, time-consuming and tedious task involving searching for medication in large shelves, double checking in the daily filled tray that the appearance, amount and concentration of each medication corresponds to the prescription, as well as analysing the timing conditions, among other details. Finally, if needed, finding equivalent compounds containing no secondary effects is also crucial, as well as being aware of the dynamically changing treatments in patients located, e.g., in surgery wards. Once the tray is filled, similar concerns and checks need to be done before dispensing the medication to the patient. We conducted a pilot in two university hospital wards using eye-tracking glasses and stress response to assess the tasks that take time the most and are most meticulous or stressing for the nurses. The aim is to use the findings to implement a mobile application that helps saving time and proneness to errors daily in such complex nursing procedures.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126467890","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001832
A. Manirabona, L. Chaari, S. Boudjit
Wireless Body Area Network (WBAN) consists of a set of sensor nodes deployed on or implanted in the body and these nodes send sensed physiological data to the personal assistant. Some of these sensor nodes can be located far from the personal assistant or due to body posture the link between the node and the personal assistant is obstructed and so require an intermediate node to help relay their data. As defined in the IEEE 802.15.6 standard, a node can initiate the two-hop extension cooperative communication to relay other nodes data. However, it is impossible to accept relaying for more than one node at the same time. In addition, when a relay node has data to send too, it has to choose either to leave the relaying mode or to maintain it. In this paper we propose a Decode and Merge technique that maintains the relaying mode by merging frames from relayed and relaying nodes. By doing so, a MAC format resizing is required. Apart from maintaining cooperative communication, this technique increases the general throughput without increasing the energy consumption, management and control flows. Furthermore, it increases the ability to resist against interference.
{"title":"Decode and merge cooperative MAC protocol for intra WBAN communication","authors":"A. Manirabona, L. Chaari, S. Boudjit","doi":"10.1109/HealthCom.2014.7001832","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001832","url":null,"abstract":"Wireless Body Area Network (WBAN) consists of a set of sensor nodes deployed on or implanted in the body and these nodes send sensed physiological data to the personal assistant. Some of these sensor nodes can be located far from the personal assistant or due to body posture the link between the node and the personal assistant is obstructed and so require an intermediate node to help relay their data. As defined in the IEEE 802.15.6 standard, a node can initiate the two-hop extension cooperative communication to relay other nodes data. However, it is impossible to accept relaying for more than one node at the same time. In addition, when a relay node has data to send too, it has to choose either to leave the relaying mode or to maintain it. In this paper we propose a Decode and Merge technique that maintains the relaying mode by merging frames from relayed and relaying nodes. By doing so, a MAC format resizing is required. Apart from maintaining cooperative communication, this technique increases the general throughput without increasing the energy consumption, management and control flows. Furthermore, it increases the ability to resist against interference.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128689649","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001809
S. Tokunaga, S. Matsumoto, S. Saiki, Masahide Nakamura
The goal of this paper is to find an answer that how remote monitoring sensor should be accurate. To achieve the goal, we propose three methods, generalization by three-actor model, design the algorithm of the three-actor and development of RMS simulator. With the three-actor model, we can generalize RMS by interactions among three actors. As the second step, we design the algorithms that how to work the actor in RMS. So we could express how often the elderly become ill. Moreover, using the developed simulator, we could simulate with many patterns of conditions. The result of simulations shows that if the accuracy of the sensor is greater than 0.9990, then the RMS has much more detectionPower.
{"title":"How should remote monitoring sensor be accurate?","authors":"S. Tokunaga, S. Matsumoto, S. Saiki, Masahide Nakamura","doi":"10.1109/HealthCom.2014.7001809","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001809","url":null,"abstract":"The goal of this paper is to find an answer that how remote monitoring sensor should be accurate. To achieve the goal, we propose three methods, generalization by three-actor model, design the algorithm of the three-actor and development of RMS simulator. With the three-actor model, we can generalize RMS by interactions among three actors. As the second step, we design the algorithms that how to work the actor in RMS. So we could express how often the elderly become ill. Moreover, using the developed simulator, we could simulate with many patterns of conditions. The result of simulations shows that if the accuracy of the sensor is greater than 0.9990, then the RMS has much more detectionPower.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131091856","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001849
I. Nakajima, T. Kitano, Kaoru Nakada, J. Hata, Masuhisa Ta
We have developed an electromagnetic generator to bury in subcutaneous area or abdominal cavity of the birds. As we can't use a solar battery, it is extremely difficult to supply a power for subcutaneous implantation such as biosensors under the skin due to the darkness environment. We are aiming to test the antigen-antibody reaction to confirm an avian influenza[1-2]. One solution is a very small generator with the electromagnetic induction coil. We attached the developed coil to chickens and pheasants and recorded the electric potential generated as the chicken walked and the pheasant flew. The electric potential generated by walking or flapping is equal to or exceeds the 10 V peak-to-peak at maximum. Even if we account for the junction voltage of the diode (300 mV), efficient charging of the double-layer capacitor is possible with the voltage doubler rectifier. If we increase the voltage, other problems arise, including the highvoltage insulation of the double-layer capacitor. For this reason, we believe the power generated to be sufficient.
{"title":"Development of subcutaneous implantation coil for birds","authors":"I. Nakajima, T. Kitano, Kaoru Nakada, J. Hata, Masuhisa Ta","doi":"10.1109/HealthCom.2014.7001849","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001849","url":null,"abstract":"We have developed an electromagnetic generator to bury in subcutaneous area or abdominal cavity of the birds. As we can't use a solar battery, it is extremely difficult to supply a power for subcutaneous implantation such as biosensors under the skin due to the darkness environment. We are aiming to test the antigen-antibody reaction to confirm an avian influenza[1-2]. One solution is a very small generator with the electromagnetic induction coil. We attached the developed coil to chickens and pheasants and recorded the electric potential generated as the chicken walked and the pheasant flew. The electric potential generated by walking or flapping is equal to or exceeds the 10 V peak-to-peak at maximum. Even if we account for the junction voltage of the diode (300 mV), efficient charging of the double-layer capacitor is possible with the voltage doubler rectifier. If we increase the voltage, other problems arise, including the highvoltage insulation of the double-layer capacitor. For this reason, we believe the power generated to be sufficient.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131709174","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001817
Luis González-Delgado, D. Valencia-Redrovan, V. Robles-Bykbaev, Ninfa Gonzalez-Delgado, T. Panzner
A fuzzy controller to support older adults should be robust and respond effectively to real-life situations such as illumination changes, ambient noise, and decision-making in critical situations. Following this approach, this paper presents the general design of “SA3M”, an autonomous support system for older adults that implements facial recognition, voice response and the use of various sensors to prevent or alert dangerous situations (gas leaks, fires, etc.). Furthermore, this paper addresses the problem of automatic microphone sensitivity control (Automatic Gain Control) in the processing of voice commands. To validate the proposed approach, the fuzzy controller was tested with a wide range of ambient noise levels and produced promising results.
{"title":"Fuzzy controller for automatic microphone gain control in an autonomous support system for elderly","authors":"Luis González-Delgado, D. Valencia-Redrovan, V. Robles-Bykbaev, Ninfa Gonzalez-Delgado, T. Panzner","doi":"10.1109/HealthCom.2014.7001817","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001817","url":null,"abstract":"A fuzzy controller to support older adults should be robust and respond effectively to real-life situations such as illumination changes, ambient noise, and decision-making in critical situations. Following this approach, this paper presents the general design of “SA3M”, an autonomous support system for older adults that implements facial recognition, voice response and the use of various sensors to prevent or alert dangerous situations (gas leaks, fires, etc.). Furthermore, this paper addresses the problem of automatic microphone sensitivity control (Automatic Gain Control) in the processing of voice commands. To validate the proposed approach, the fuzzy controller was tested with a wide range of ambient noise levels and produced promising results.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133908497","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001875
W. Jiang, S. Gao, P. Wittek, Li Zhao
Photoplethysmography (PPG) can be carried out through facial video recording by a smart phone camera in ambient light. The main challenge is to eliminate motion artifacts and ambient noise. We describe a real-time algorithm to quantify the heart beat rate from facial video recording captured by the camera of a smart phone. We extract the green channel from the video. Then we normalize it and use a Kalman filter with a particular structure to eliminate ambient noise. This filter also enhances the heart pulse component in the signal distorted by Gaussian noise and white noise. After that we employ a band-pass FIR filter to remove the remaining motion artifacts. This is followed by peak detection or Lomb periodogram to estimate heart rate. The algorithm has low computational overhead, low delay and high robustness, making it suitable for real-time interaction on a smart phone. Finally we describe an Android application based on this study.
{"title":"Real-time quantifying heart beat rate from facial video recording on a smart phone using Kalman filters","authors":"W. Jiang, S. Gao, P. Wittek, Li Zhao","doi":"10.1109/HealthCom.2014.7001875","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001875","url":null,"abstract":"Photoplethysmography (PPG) can be carried out through facial video recording by a smart phone camera in ambient light. The main challenge is to eliminate motion artifacts and ambient noise. We describe a real-time algorithm to quantify the heart beat rate from facial video recording captured by the camera of a smart phone. We extract the green channel from the video. Then we normalize it and use a Kalman filter with a particular structure to eliminate ambient noise. This filter also enhances the heart pulse component in the signal distorted by Gaussian noise and white noise. After that we employ a band-pass FIR filter to remove the remaining motion artifacts. This is followed by peak detection or Lomb periodogram to estimate heart rate. The algorithm has low computational overhead, low delay and high robustness, making it suitable for real-time interaction on a smart phone. Finally we describe an Android application based on this study.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123934679","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001845
Anders Andersen, K. Y. Yigzaw, Randi Karlsen
The usage of electronic health data from different sources for statistical analysis requires a toolset where the legal, security and privacy concerns have been taken into consideration. The health data are typically located at different general practices and hospitals. The data analysis consists of local processing at these locations, and the locations become nodes in a computing graph. To support the legal, security and privacy concerns, the proposed toolset for statistical analysis of health data uses a combination of secure multi-party computation (SMC) algorithms, symmetric and public key encryption, and public key infrastructure (PKI) with certificates and a certificate authority (CA). The proposed toolset should cover a wide range of data analysis with different data distributions. To achieve this, large set of possible SMC algorithms and computing graphs have to be supported.
{"title":"Privacy preserving health data processing","authors":"Anders Andersen, K. Y. Yigzaw, Randi Karlsen","doi":"10.1109/HealthCom.2014.7001845","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001845","url":null,"abstract":"The usage of electronic health data from different sources for statistical analysis requires a toolset where the legal, security and privacy concerns have been taken into consideration. The health data are typically located at different general practices and hospitals. The data analysis consists of local processing at these locations, and the locations become nodes in a computing graph. To support the legal, security and privacy concerns, the proposed toolset for statistical analysis of health data uses a combination of secure multi-party computation (SMC) algorithms, symmetric and public key encryption, and public key infrastructure (PKI) with certificates and a certificate authority (CA). The proposed toolset should cover a wide range of data analysis with different data distributions. To achieve this, large set of possible SMC algorithms and computing graphs have to be supported.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117022430","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001860
Nagla S. Alnosayan, Edward Lee, A. Alluhaidan, S. Chatterjee, L. Houston-Feenstra, M. Kagoda, W. Dysinger
MyHeart is a telehealth system designed to bridge the current gap in the Congestive Heart Failure care continuum that occurs when the patient transitions from the hospital to the home environment. The system uses wireless health devices and a mobile application on the patient's end, a rule-based expert system, and a dashboard on the clinician's end to facilitate the exchange of information pertaining to vitals, symptoms, and health risk. The system also sends messages to patients that aim to encourage self-care as per Fogg's behavior model. An experiment to evaluate MyHeart is currently underway at Loma Linda University Medical Center and encouraging initial findings are reported.
{"title":"MyHeart: An intelligent mHealth home monitoring system supporting heart failure self-care","authors":"Nagla S. Alnosayan, Edward Lee, A. Alluhaidan, S. Chatterjee, L. Houston-Feenstra, M. Kagoda, W. Dysinger","doi":"10.1109/HealthCom.2014.7001860","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001860","url":null,"abstract":"MyHeart is a telehealth system designed to bridge the current gap in the Congestive Heart Failure care continuum that occurs when the patient transitions from the hospital to the home environment. The system uses wireless health devices and a mobile application on the patient's end, a rule-based expert system, and a dashboard on the clinician's end to facilitate the exchange of information pertaining to vitals, symptoms, and health risk. The system also sends messages to patients that aim to encourage self-care as per Fogg's behavior model. An experiment to evaluate MyHeart is currently underway at Loma Linda University Medical Center and encouraging initial findings are reported.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115278081","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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