Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001828
M. A. Aratanha, Hougelle Simplício, E. Morya, R. Moioli, F. Brasil
I — Proposers — Maria Adelia Albano de Aratanha has a BSc. in Electrical Engineering, and a Dipl.-Ing in Biomedical Engineering. Works in the field of Brain Machine Interface (BMI) and virtual reality. — Hougelle Simplício has a MB in Medicine, and a PhD. in Neurology. Has experience on functional neurosurgery and neuromodulation in both clinical and research field, epilepsy and Parkinson's disease. — Edgard Morya has BSc. in Physiotherapy, and a PhD in Human Physiology. Has experience on motor control, rehabilitation, plasticity, learning, EMG, EEG, psychophysics, perception-action, neurophysiology, virtual reality, and eye-tracker. — Renan Cipriano Moioli has a BSc. in Electrical Engineering, a MSc. with emphasis on artificial intelligence and robotics, and Ph.D. in Computational Neuroscience and Robotics. Has experience on computational neuroscience, signal processing, information theory and autonomous robotics. — Fabrício Lima Brasil has a BSc. in Electrical Engineering, a MSc. in Mechanical Engineering, and a Ph.D. in Neuroscience. Has experiences in the field of brain machine interface (BMI), rehabilitation, EEG, plasticity and brain stimulation techniques.
I -提案人- Maria Adelia Albano de Aratanha拥有理学士学位。电气工程学士学位和副学士学位。-生物医学工程专业。在脑机接口(BMI)和虚拟现实领域工作。- Hougelle Simplício拥有医学硕士学位和博士学位。在神经学。在临床和研究领域具有功能神经外科和神经调节，癫痫和帕金森病的经验。- Edgard Morya拥有学士学位。物理治疗和人体生理学博士学位。在运动控制、康复、可塑性、学习、肌电、脑电图、心理物理学、感知-行动、神经生理学、虚拟现实、眼动仪等领域有丰富经验。- Renan Cipriano Moioli拥有理学学士学位。电气工程硕士学位。重点是人工智能和机器人，以及计算神经科学和机器人博士学位。具有计算神经科学、信号处理、信息论和自主机器人的经验。- Fabrício巴西利马有学士学位。电气工程硕士学位。机械工程博士，神经科学博士。在脑机接口(BMI)，康复，脑电图，可塑性和脑刺激技术领域有经验。
{"title":"Real time neural signal processing and visuo-motor integration: New perspectives for assistive technology","authors":"M. A. Aratanha, Hougelle Simplício, E. Morya, R. Moioli, F. Brasil","doi":"10.1109/HealthCom.2014.7001828","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001828","url":null,"abstract":"I — Proposers — Maria Adelia Albano de Aratanha has a BSc. in Electrical Engineering, and a Dipl.-Ing in Biomedical Engineering. Works in the field of Brain Machine Interface (BMI) and virtual reality. — Hougelle Simplício has a MB in Medicine, and a PhD. in Neurology. Has experience on functional neurosurgery and neuromodulation in both clinical and research field, epilepsy and Parkinson's disease. — Edgard Morya has BSc. in Physiotherapy, and a PhD in Human Physiology. Has experience on motor control, rehabilitation, plasticity, learning, EMG, EEG, psychophysics, perception-action, neurophysiology, virtual reality, and eye-tracker. — Renan Cipriano Moioli has a BSc. in Electrical Engineering, a MSc. with emphasis on artificial intelligence and robotics, and Ph.D. in Computational Neuroscience and Robotics. Has experience on computational neuroscience, signal processing, information theory and autonomous robotics. — Fabrício Lima Brasil has a BSc. in Electrical Engineering, a MSc. in Mechanical Engineering, and a Ph.D. in Neuroscience. Has experiences in the field of brain machine interface (BMI), rehabilitation, EEG, plasticity and brain stimulation techniques.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127288552","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.2014.7001804
E. Salmon, Cheryl Carrico, L. Nichols, Lakshmi Reddy, S. Salles, L. Sawaki
Several lines of evidence indicate that a non-invasive form of brain stimulation called transcranial direct current stimulation (tDCS) can facilitate motor recovery after stroke. However, there is no available data about how tDCS may enhance outcomes of intensive, task-oriented upper extremity (UE) motor training in people with spinal cord injury (SCI). Moreover, there is a lack of effective interventions to enhance recovery of UE motor function after SCI, especially in chronic cases. Thus, we are conducting a double-blind, randomized, controlled study of how tDCS paired with intensive task-oriented training affects UE motor function in subjects with motor incomplete cervical SCI. Our central hypothesis is that subjects who receive anodal tDCS paired with intensive task-oriented training 3 days a week for 8 weeks will have significantly more improved UE motor performance than controls receiving sham tDCS paired with identical training. Furthermore, motor improvement will correlate with corticospinal reorganization (motor maps) measured by transcranial magnetic stimulation (TMS). Outcome measures for motor performance include Spinal Cord Independence Measure-Ill, Canadian Occupational Performance Measure, and Medical Research Council scale administered at baseline, at midpoint, and immediately post-intervention. Here, we present our preliminary results (n=2) of this ongoing study.
{"title":"Transcranial direct current stimulation to enhance motor function in spinal cord injury: Pilot data","authors":"E. Salmon, Cheryl Carrico, L. Nichols, Lakshmi Reddy, S. Salles, L. Sawaki","doi":"10.1109/HealthCom.2014.7001804","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001804","url":null,"abstract":"Several lines of evidence indicate that a non-invasive form of brain stimulation called transcranial direct current stimulation (tDCS) can facilitate motor recovery after stroke. However, there is no available data about how tDCS may enhance outcomes of intensive, task-oriented upper extremity (UE) motor training in people with spinal cord injury (SCI). Moreover, there is a lack of effective interventions to enhance recovery of UE motor function after SCI, especially in chronic cases. Thus, we are conducting a double-blind, randomized, controlled study of how tDCS paired with intensive task-oriented training affects UE motor function in subjects with motor incomplete cervical SCI. Our central hypothesis is that subjects who receive anodal tDCS paired with intensive task-oriented training 3 days a week for 8 weeks will have significantly more improved UE motor performance than controls receiving sham tDCS paired with identical training. Furthermore, motor improvement will correlate with corticospinal reorganization (motor maps) measured by transcranial magnetic stimulation (TMS). Outcome measures for motor performance include Spinal Cord Independence Measure-Ill, Canadian Occupational Performance Measure, and Medical Research Council scale administered at baseline, at midpoint, and immediately post-intervention. Here, we present our preliminary results (n=2) of this ongoing study.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124927265","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.2014.7001812
Luis Bernardo Villa, Ivan Cabezas
Health professionals should record clinical care information in order to provide adequate patient assistance. Such recording process requires an Electronic Health Record (EHR) with complete and integral information adjusted to treatments performed on a patient. Moreover, availability and access to EHR are key features supporting decision making and improve patient care. Nevertheless, designing an EHR fulfilling a set of quality attributes is not an easy task. In fact, an EHR with low usability causes deficient clinical services and poor data quality on medical records. In this paper, an interpretation of the ISO 9241-210 standard, in the context of patients' care in an emergency situation, is presented. It considers three mid-level objectives: understanding, designing and evaluating. In this way, an alignment between high-level guidelines, offered by usability standards, and low-level activities to be followed during an EHR design, is achieved.
{"title":"A review on usability features for designing electronic health records","authors":"Luis Bernardo Villa, Ivan Cabezas","doi":"10.1109/HealthCom.2014.7001812","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001812","url":null,"abstract":"Health professionals should record clinical care information in order to provide adequate patient assistance. Such recording process requires an Electronic Health Record (EHR) with complete and integral information adjusted to treatments performed on a patient. Moreover, availability and access to EHR are key features supporting decision making and improve patient care. Nevertheless, designing an EHR fulfilling a set of quality attributes is not an easy task. In fact, an EHR with low usability causes deficient clinical services and poor data quality on medical records. In this paper, an interpretation of the ISO 9241-210 standard, in the context of patients' care in an emergency situation, is presented. It considers three mid-level objectives: understanding, designing and evaluating. In this way, an alignment between high-level guidelines, offered by usability standards, and low-level activities to be followed during an EHR design, is achieved.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132768365","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.2014.7001861
Olga Valeria, Anderson Ribeiro, Liliam Leal, M. Lemos, Carlos Giovanni Nunes de Carvalho, José Bringel Filho, R. H. Filho, N. Agoulmine
Context Management Framework (CMF) for Ubiquitous Health (U-Health) Systems should be able to continuously gather raw data from observed entities to characterize their current situation (context). However, the death of battery-dependent sensors reduce their ability for detecting the context, which directly affects the availability of context-aware u-health services. This paper proposes the use of Quality of Context (QoC) integrated with a data reduction approach to minimize the amount of sensed raw data sent to CMF, reducing the energy consumption and maximizing the lifetime of sensor-based CMF. The proposed approach rebuilds the gathered raw data taking into account QoC requirements, avoiding the loss of precision (QoC Indicator precision) and timeliness (QoC Indicator up-to-dateness), which has been integrated into our Context Management Framework (CxtMF). Experimental results demonstrate the effectiveness of our approach by reducing the amount of packets sent over network to 3% for the ECG monitoring service.
泛在健康(U-Health)系统的环境管理框架(CMF)应该能够不断地从观察到的实体收集原始数据，以表征其当前状况(环境)。然而，依赖电池的传感器的死亡降低了它们检测环境的能力，这直接影响了环境感知u-health服务的可用性。本文提出将上下文质量(Quality of Context, QoC)与数据缩减方法相结合，以最大限度地减少发送到CMF的感知原始数据的数量，降低能耗并最大化基于传感器的CMF的使用寿命。建议的方法在考虑QoC要求的情况下重建收集到的原始数据，避免精确度(QoC指标精度)和及时性(QoC指标最新度)的损失，这已经集成到我们的上下文管理框架(CxtMF)中。实验结果证明了该方法的有效性，将心电监测业务的网络数据包发送量减少到3%。
{"title":"Using QoC for improving energy-efficient context management in U-Health Systems","authors":"Olga Valeria, Anderson Ribeiro, Liliam Leal, M. Lemos, Carlos Giovanni Nunes de Carvalho, José Bringel Filho, R. H. Filho, N. Agoulmine","doi":"10.1109/HealthCom.2014.7001861","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001861","url":null,"abstract":"Context Management Framework (CMF) for Ubiquitous Health (U-Health) Systems should be able to continuously gather raw data from observed entities to characterize their current situation (context). However, the death of battery-dependent sensors reduce their ability for detecting the context, which directly affects the availability of context-aware u-health services. This paper proposes the use of Quality of Context (QoC) integrated with a data reduction approach to minimize the amount of sensed raw data sent to CMF, reducing the energy consumption and maximizing the lifetime of sensor-based CMF. The proposed approach rebuilds the gathered raw data taking into account QoC requirements, avoiding the loss of precision (QoC Indicator precision) and timeliness (QoC Indicator up-to-dateness), which has been integrated into our Context Management Framework (CxtMF). Experimental results demonstrate the effectiveness of our approach by reducing the amount of packets sent over network to 3% for the ECG monitoring service.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132913213","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.2014.7001888
E. H. Cherkaoui, N. Agoulmine
Wireless Body Area Network (WBAN) relays on IEEE802.15.6 communication standard optimized for low power and short range communication between wireless medical sensors installed on the patient body that gathers health data (e.g. Heartbeat, SPO2, etc.). In addition, every WBAN has a specific component called gateway that permits to send the measured health datas to remote servers. For long range communications, the gateway is equipped with a 3G/WiFi interfaces. 3G interface allows high Quality transmission of health data during mobility. However, the large amount of 3G data traffic transmitting through this network is expected to grow rapidly with the popularity of mobile applications and therefore degrade the overall service. The aim of this paper is a contribution to improve the Quality of Service (QoS) of ehealth applications to assure an efficient and continuous remote monitoring of patients and elderly. For that, we propose a design of a new context-aware mobility management system that is able to take benefit from multiple available access wireless networks (3G and WiFi) to offload smartly specific traffics and maintain the QoS of critical services such as ehealth services.
{"title":"Context-aware mobility management with WiFi/3G offloading for ehealth WBANs","authors":"E. H. Cherkaoui, N. Agoulmine","doi":"10.1109/HealthCom.2014.7001888","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001888","url":null,"abstract":"Wireless Body Area Network (WBAN) relays on IEEE802.15.6 communication standard optimized for low power and short range communication between wireless medical sensors installed on the patient body that gathers health data (e.g. Heartbeat, SPO2, etc.). In addition, every WBAN has a specific component called gateway that permits to send the measured health datas to remote servers. For long range communications, the gateway is equipped with a 3G/WiFi interfaces. 3G interface allows high Quality transmission of health data during mobility. However, the large amount of 3G data traffic transmitting through this network is expected to grow rapidly with the popularity of mobile applications and therefore degrade the overall service. The aim of this paper is a contribution to improve the Quality of Service (QoS) of ehealth applications to assure an efficient and continuous remote monitoring of patients and elderly. For that, we propose a design of a new context-aware mobility management system that is able to take benefit from multiple available access wireless networks (3G and WiFi) to offload smartly specific traffics and maintain the QoS of critical services such as ehealth services.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132293748","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.2014.7001890
P.Sailaja Rani, V. Raychoudhury, S. Sandha, D. Patel
Mankind has experienced several deadly disease outbreaks, such as, cholera, plague, yellow fever, SARS, and dengue. Researchers need to study disease propagation data in order to understand patterns of disease outbreaks, their nature, symptoms, and ways of containment and cure. Though our healthcare establishments record and maintain patient information, they fail to detect a pandemic at an early stage due to the following challenges. Firstly, modern people are too busy to visit a doctor at the early stage of their symptoms which along with their high degree of mobility fuels the risk of contagion. Secondly, even for the recorded cases of a disease, quickly consolidating all local information to detect disease propagation over a large area is nontrivial using today's technology. Finally, all existing methods of outbreak detection identifies a single day of outbreak which is less realistic considering that outbreak happens over a period of time. In this paper, we introduce a wearable sensor based mobile application to capture early symptoms of a disease and to ensure faster consolidation of isolated cases over large areas. We then apply a purely novel technique based on discrepancy scores to detect disease outbreak-period. Experiments and prototypes show the usability and efficiency of our solution.
{"title":"Mobile health application for early disease outbreak-period detection","authors":"P.Sailaja Rani, V. Raychoudhury, S. Sandha, D. Patel","doi":"10.1109/HealthCom.2014.7001890","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001890","url":null,"abstract":"Mankind has experienced several deadly disease outbreaks, such as, cholera, plague, yellow fever, SARS, and dengue. Researchers need to study disease propagation data in order to understand patterns of disease outbreaks, their nature, symptoms, and ways of containment and cure. Though our healthcare establishments record and maintain patient information, they fail to detect a pandemic at an early stage due to the following challenges. Firstly, modern people are too busy to visit a doctor at the early stage of their symptoms which along with their high degree of mobility fuels the risk of contagion. Secondly, even for the recorded cases of a disease, quickly consolidating all local information to detect disease propagation over a large area is nontrivial using today's technology. Finally, all existing methods of outbreak detection identifies a single day of outbreak which is less realistic considering that outbreak happens over a period of time. In this paper, we introduce a wearable sensor based mobile application to capture early symptoms of a disease and to ensure faster consolidation of isolated cases over large areas. We then apply a purely novel technique based on discrepancy scores to detect disease outbreak-period. Experiments and prototypes show the usability and efficiency of our solution.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128411053","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.2014.7001805
Emily Salyers, Cheryl Carrico, Kenneth C. Chelette, L. Nichols, C. Henzman, L. Sawaki
Stroke is one of the most devastating and prevalent diseases. However, efforts to limit tissue damage in acute stroke have met with only minimal success. Therefore, it is of paramount importance to establish effective therapies for use during long-term stages of recovery. Such therapy can capitalize on neuroplastic change (brain reorganization), which has been associated with recovery of function after brain lesions. Intensive, repetitive motor training is a therapeutic intervention that has been shown to support neuroplastic change and improve motor performance after stroke. Likewise, sensory input in the form of peripheral nerve stimulation (PNS) has been shown to upregulate neuroplasticity and improve motor performance after stroke. However, no studies have evaluated how pairing intensive motor training with various PNS intensities and times may affect motor performance, particularly for subjects with severe upper extremity (UE) hemiparesis after stroke. Here, we describe our ongoing study of whether various intensities and times of delivery of PNS relative to motor training will yield differential effects on UE motor function in subjects with chronic, severe motor deficit after stroke. Our results will facilitate development of a dose-response model for PNS paired with intensive, repetitive motor training, which will help optimize this combinatory intervention for stroke survivors with highest need.
{"title":"Dose-response effects of peripheral nerve stimulation and motor training in stroke: Preliminary data","authors":"Emily Salyers, Cheryl Carrico, Kenneth C. Chelette, L. Nichols, C. Henzman, L. Sawaki","doi":"10.1109/HealthCom.2014.7001805","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001805","url":null,"abstract":"Stroke is one of the most devastating and prevalent diseases. However, efforts to limit tissue damage in acute stroke have met with only minimal success. Therefore, it is of paramount importance to establish effective therapies for use during long-term stages of recovery. Such therapy can capitalize on neuroplastic change (brain reorganization), which has been associated with recovery of function after brain lesions. Intensive, repetitive motor training is a therapeutic intervention that has been shown to support neuroplastic change and improve motor performance after stroke. Likewise, sensory input in the form of peripheral nerve stimulation (PNS) has been shown to upregulate neuroplasticity and improve motor performance after stroke. However, no studies have evaluated how pairing intensive motor training with various PNS intensities and times may affect motor performance, particularly for subjects with severe upper extremity (UE) hemiparesis after stroke. Here, we describe our ongoing study of whether various intensities and times of delivery of PNS relative to motor training will yield differential effects on UE motor function in subjects with chronic, severe motor deficit after stroke. Our results will facilitate development of a dose-response model for PNS paired with intensive, repetitive motor training, which will help optimize this combinatory intervention for stroke survivors with highest need.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134195252","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.2014.7001872
L. Andrews, T. Sahama, R. Gajanayake
This conceptual paper is a preliminary part of an ongoing study into take-up of electronic personal health records (ePHRs). The purpose of this work is to contextually `operationalise' Grönroos' (2012) model of value co-creation in service for ePHRs. Using findings in the extant literature we enhance theoretical and practical understanding of the potential for co-creation of value with ePHRs for relevant stakeholders. The research design focused on the selection and evaluation of relevant literature to include in the discussion. The objective was to demonstrate which articles can be used to `contextualise' the concepts in relation to relevant healthcare providers and patient engagement in the co-creation of value from having shared ePHRs. Starting at the service concept, that is, what the service provider wants to achieve and for whom, there is little doubt that there are recognised benefits that co-create value for both healthcare providers and healthcare consumers (i.e. patients) through shared ePHRs. We further highlight both alignments and misalignments in the resources and activities concepts between stakeholder groups. Examples include the types of functionalities as well as the interactive and peer communication needs perceived as useful for healthcare providers compared to healthcare consumers. The paper has implications for theory and practice and is an original and innovative approach to studying the co-creation of value in eHealth delivery.
{"title":"Contextualising co-creation of value in electronic personal health records","authors":"L. Andrews, T. Sahama, R. Gajanayake","doi":"10.1109/HealthCom.2014.7001872","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001872","url":null,"abstract":"This conceptual paper is a preliminary part of an ongoing study into take-up of electronic personal health records (ePHRs). The purpose of this work is to contextually `operationalise' Grönroos' (2012) model of value co-creation in service for ePHRs. Using findings in the extant literature we enhance theoretical and practical understanding of the potential for co-creation of value with ePHRs for relevant stakeholders. The research design focused on the selection and evaluation of relevant literature to include in the discussion. The objective was to demonstrate which articles can be used to `contextualise' the concepts in relation to relevant healthcare providers and patient engagement in the co-creation of value from having shared ePHRs. Starting at the service concept, that is, what the service provider wants to achieve and for whom, there is little doubt that there are recognised benefits that co-create value for both healthcare providers and healthcare consumers (i.e. patients) through shared ePHRs. We further highlight both alignments and misalignments in the resources and activities concepts between stakeholder groups. Examples include the types of functionalities as well as the interactive and peer communication needs perceived as useful for healthcare providers compared to healthcare consumers. The paper has implications for theory and practice and is an original and innovative approach to studying the co-creation of value in eHealth delivery.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133654258","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.2014.7001833
Mechelle Gittens, Reco King, Curtis L Gittens, A. Als
Diabetes currently ranks among the highest threats to human life given the increase in the number of diagnosed cases worldwide. This sudden increase has been linked to changes in human lifestyle since the majority of cases diagnosed are that of type 2 diabetes. Mobile health (m-health) technologies are being implemented in all areas of the health industry to aid patients in their pursuit of healthier lives. The society chosen for our study has a population predominately of African descent and is in crisis, as it possesses one of the highest rates of diabetes and amputation worldwide. Work was therefore conducted to promote proactive behaviour among members of the society by placing relevant technology in their hands to take control of their health. The purpose was to determine if the development of an m-health application would influence people diagnosed with diabetes to adopt healthier lifestyles, and reduce the impact of the disease on this part of the African diaspora. A mobile application was developed based on a preliminary study of m-health application availability and people's attitudes towards mobile applications. People who had diabetes or caretakers of people with diabetes tested the mobile application over a two-week period. Average participation among all users was low but notably there were a few persons who used the application frequently. The frequent users were compliant with the expected behaviours of a diabetes patient. The other participants used the application infrequently and generally had bad health regimes.
{"title":"Post-diagnosis management of diabetes through a mobile health consultation application","authors":"Mechelle Gittens, Reco King, Curtis L Gittens, A. Als","doi":"10.1109/HealthCom.2014.7001833","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001833","url":null,"abstract":"Diabetes currently ranks among the highest threats to human life given the increase in the number of diagnosed cases worldwide. This sudden increase has been linked to changes in human lifestyle since the majority of cases diagnosed are that of type 2 diabetes. Mobile health (m-health) technologies are being implemented in all areas of the health industry to aid patients in their pursuit of healthier lives. The society chosen for our study has a population predominately of African descent and is in crisis, as it possesses one of the highest rates of diabetes and amputation worldwide. Work was therefore conducted to promote proactive behaviour among members of the society by placing relevant technology in their hands to take control of their health. The purpose was to determine if the development of an m-health application would influence people diagnosed with diabetes to adopt healthier lifestyles, and reduce the impact of the disease on this part of the African diaspora. A mobile application was developed based on a preliminary study of m-health application availability and people's attitudes towards mobile applications. People who had diabetes or caretakers of people with diabetes tested the mobile application over a two-week period. Average participation among all users was low but notably there were a few persons who used the application frequently. The frequent users were compliant with the expected behaviours of a diabetes patient. The other participants used the application infrequently and generally had bad health regimes.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124932738","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.2014.7001813
H. A. Hamadi, A. Gawanmeh, M. Al-Qutayri
Recording the electrical activity of the heart over a period of time as detected using electrical sensors is referred to as Electrocardiography (ECG). ECG is recorded as a collection of signal waves that has repetitive patterns. These patterns are usually used in the complex diagnosis process through which ECG may indicate certain problems related to the heart or other parts of the body. Despite the extensive studies conducted on the analysis of ECG signals and their thorough analysis, there is a lack of a formal model that validate their specifications, which results in several inconsistencies and problems in their interpretations and usage. This, on the other hand, may lead to ambiguities and incompleteness in the methods that are developed utilizing ECG specifications and their features. Therefore, in this paper we propose a method to formalize and validate the specifications of ECG signals in Event-B. We formally define the waves of ECG and their relation, and then formalize and validate several properties about their behavior.
{"title":"Formalizing electrocardiogram (ECG) signal behavior in event-B","authors":"H. A. Hamadi, A. Gawanmeh, M. Al-Qutayri","doi":"10.1109/HealthCom.2014.7001813","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001813","url":null,"abstract":"Recording the electrical activity of the heart over a period of time as detected using electrical sensors is referred to as Electrocardiography (ECG). ECG is recorded as a collection of signal waves that has repetitive patterns. These patterns are usually used in the complex diagnosis process through which ECG may indicate certain problems related to the heart or other parts of the body. Despite the extensive studies conducted on the analysis of ECG signals and their thorough analysis, there is a lack of a formal model that validate their specifications, which results in several inconsistencies and problems in their interpretations and usage. This, on the other hand, may lead to ambiguities and incompleteness in the methods that are developed utilizing ECG specifications and their features. Therefore, in this paper we propose a method to formalize and validate the specifications of ECG signals in Event-B. We formally define the waves of ECG and their relation, and then formalize and validate several properties about their behavior.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123947357","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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