Pub Date : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5987
Tony O'Donovan, J. O'Donoghue, C. Sreenan, David Sammon, Philip O'Reilly, Kieran A. O'Connor
In monitoring a patient's real-time vital signs through Body Area Networks (BAN), rich data sources are communicated to medical practitioners. The benefit of BANs may be negated if medical practitioners are overloaded with streams of BAN data. It is essential that data is delivered in a timely context aware manner. In this paper a BAN designed for falls assessment among elder patients (65+ years) is presented, with an emphasis on the communication scheme chosen. The FrameComm MAC protocol described in this paper employs three data management techniques, 1) message priority, 2) opportunistic aggregation and 3) an adaptive duty cycle, all of which are designed to ensure that patient vital signs (i.e. data packets) are delivered under a variety of network loads. The protocol is evaluated using a small laboratory network, initially configured to communicate Beat-to-Beat (continuous blood pressure) readings when a patient goes from a sitting to a standing position and then with added ECG (ElectroCardioGram) readings.
{"title":"A context aware wireless body area network (BAN)","authors":"Tony O'Donovan, J. O'Donoghue, C. Sreenan, David Sammon, Philip O'Reilly, Kieran A. O'Connor","doi":"10.4108/ICST.PERVASIVEHEALTH2009.5987","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.5987","url":null,"abstract":"In monitoring a patient's real-time vital signs through Body Area Networks (BAN), rich data sources are communicated to medical practitioners. The benefit of BANs may be negated if medical practitioners are overloaded with streams of BAN data. It is essential that data is delivered in a timely context aware manner. In this paper a BAN designed for falls assessment among elder patients (65+ years) is presented, with an emphasis on the communication scheme chosen. The FrameComm MAC protocol described in this paper employs three data management techniques, 1) message priority, 2) opportunistic aggregation and 3) an adaptive duty cycle, all of which are designed to ensure that patient vital signs (i.e. data packets) are delivered under a variety of network loads. The protocol is evaluated using a small laboratory network, initially configured to communicate Beat-to-Beat (continuous blood pressure) readings when a patient goes from a sitting to a standing position and then with added ECG (ElectroCardioGram) readings.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132310559","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5970
Antti Särelä, J. Salminen, E. Koskinen, O. Kirkeby, I. Korhonen, D. Walters
Cardiac rehabilitation programs offer effective means to prevent recurrence of a cardiac event. However, poor uptake of current programs have been reported globally. Home based model is considered as an alternative to avoid barriers related to hospital based programs. The challenge in a home based program is to re-establish the link between the patient and clinician regardless of their location. Mobile phones and internet technologies can potentially be used to enable a comprehensive home based care model. We developed tools and integrated model for home based cardiac rehabilitation based on a mobile phone with integrated accelerometer to measure physical exercise and diary to collect information on physiological risk factors and other health information. Video and teleconferencing are used for mentoring sessions and educational multimedia content is transferred via messaging systems to the patients phone to be viewed on demand. The model can be extended to management of other chronic conditions.
{"title":"A home-based care model for outpatient cardiac rehabilitation based on mobile technologies","authors":"Antti Särelä, J. Salminen, E. Koskinen, O. Kirkeby, I. Korhonen, D. Walters","doi":"10.4108/ICST.PERVASIVEHEALTH2009.5970","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.5970","url":null,"abstract":"Cardiac rehabilitation programs offer effective means to prevent recurrence of a cardiac event. However, poor uptake of current programs have been reported globally. Home based model is considered as an alternative to avoid barriers related to hospital based programs. The challenge in a home based program is to re-establish the link between the patient and clinician regardless of their location. Mobile phones and internet technologies can potentially be used to enable a comprehensive home based care model. We developed tools and integrated model for home based cardiac rehabilitation based on a mobile phone with integrated accelerometer to measure physical exercise and diary to collect information on physiological risk factors and other health information. Video and teleconferencing are used for mentoring sessions and educational multimedia content is transferred via messaging systems to the patients phone to be viewed on demand. The model can be extended to management of other chronic conditions.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129217760","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5974
D. Merico, A. Mileo, R. Bisiani
This paper deals with the problems of using pervasive wireless sensor networks to monitor people that live in their homes and have no critical chronic condition. The rich set of sensors that can be used and their sheer number make it quite complex to interpret the data: in the paper we argue that it is possible and very useful to add a reasoning component to the architecture. We also delve into the various open research questions that must be solved in order to build really effective home health-monitoring systems.
{"title":"Pervasive wireless-sensor-networks for home healthcare need automatic reasoning","authors":"D. Merico, A. Mileo, R. Bisiani","doi":"10.4108/ICST.PERVASIVEHEALTH2009.5974","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.5974","url":null,"abstract":"This paper deals with the problems of using pervasive wireless sensor networks to monitor people that live in their homes and have no critical chronic condition. The rich set of sensors that can be used and their sheer number make it quite complex to interpret the data: in the paper we argue that it is possible and very useful to add a reasoning component to the architecture. We also delve into the various open research questions that must be solved in order to build really effective home health-monitoring systems.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116551182","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6044
Ajay M. Cheriyan, Z. Kalbarczyk, R. Iyer, Albert O. Jarvi, T. Gallagher, K. Watkin
Recent research has underscored the potential role of analysis of EEG signals as indicators of cognitive decline. In addition, we have also seen the emergence of embedded systems that are capable of analyzing biological signals in real time to track a number of physiological variables and make accurate conclusions about the individual's physiological status and health. This paper presents the design of an embedded system which is capable of tracking relevant bio-signals from the person in real time and facilitating a dependable decision making process that provides alerts for potential brain activity changes. The design focuses around the use of sensors and a processing element. It incorporates the use of electroencephalography (EEG) and oxygen saturation (SpO2) signals. As an early proof-of-concept, our system collects data from the sensors, performs initial processing and provides the framework to compute significant physiological variables.
{"title":"Pervasive embedded real time monitoring of EEG & SpO2","authors":"Ajay M. Cheriyan, Z. Kalbarczyk, R. Iyer, Albert O. Jarvi, T. Gallagher, K. Watkin","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6044","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6044","url":null,"abstract":"Recent research has underscored the potential role of analysis of EEG signals as indicators of cognitive decline. In addition, we have also seen the emergence of embedded systems that are capable of analyzing biological signals in real time to track a number of physiological variables and make accurate conclusions about the individual's physiological status and health. This paper presents the design of an embedded system which is capable of tracking relevant bio-signals from the person in real time and facilitating a dependable decision making process that provides alerts for potential brain activity changes. The design focuses around the use of sensors and a processing element. It incorporates the use of electroencephalography (EEG) and oxygen saturation (SpO2) signals. As an early proof-of-concept, our system collects data from the sensors, performs initial processing and provides the framework to compute significant physiological variables.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125188272","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5975
Safdar Ali, Stephan Kiefer
In this paper, we describe a clinical laboratory scenario, where the next generation Ambient Intelligent (AmI) medical devices semantically coordinate with each other not only for the diagnosis of Pheochromocytoma and/or Neuroblastoma tumors, but also the forwarding of a higher level of interpreted results to a remote health information system, using a 3G mobile device as a gateway, to assist a health professional for meticulous diagnosis. These AmI medical devices are enriched with our SOA based middleware infrastructure, named Semantic Medical Devices Space, which supports ontology based semantic discovery of desired medical devices, and provides Semantic Web Service based interface for exchanging the measurement results.
{"title":"Semantic coordination of Ambient Intelligent medical devices - A case study","authors":"Safdar Ali, Stephan Kiefer","doi":"10.4108/ICST.PERVASIVEHEALTH2009.5975","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.5975","url":null,"abstract":"In this paper, we describe a clinical laboratory scenario, where the next generation Ambient Intelligent (AmI) medical devices semantically coordinate with each other not only for the diagnosis of Pheochromocytoma and/or Neuroblastoma tumors, but also the forwarding of a higher level of interpreted results to a remote health information system, using a 3G mobile device as a gateway, to assist a health professional for meticulous diagnosis. These AmI medical devices are enriched with our SOA based middleware infrastructure, named Semantic Medical Devices Space, which supports ontology based semantic discovery of desired medical devices, and provides Semantic Web Service based interface for exchanging the measurement results.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114280362","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6057
D. Weerasinghe, M. Rajarajan, V. Rakocevic
This paper provides detailed solutions for trust delegation and secure temporary storage of medical records for authorized users in public mobile communication networks. The solutions presented in this paper enable the development of software that can be used by emergency medical units in urgent need of sensitive personal information about unconscious patients. In today's world, technical improvements in mobile communication systems mean that users can expect to have access to data at any time regardless of their location. While this paradigm is a natural goal for both service providers and users in commercial applications, for the exchange of sensitive personal medical information authentication and security present major challenges. This paper presents a token-based procedure for the delegation of trust between a requesting mobile unit and secure medical data storage. Once the trust is established, the received data should only temporarily be available. Our paper presents the design of the proposed solutions and gives details of the software demonstration developed in our research group.
{"title":"Trust delegation for medical records access using public mobile networks","authors":"D. Weerasinghe, M. Rajarajan, V. Rakocevic","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6057","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6057","url":null,"abstract":"This paper provides detailed solutions for trust delegation and secure temporary storage of medical records for authorized users in public mobile communication networks. The solutions presented in this paper enable the development of software that can be used by emergency medical units in urgent need of sensitive personal information about unconscious patients. In today's world, technical improvements in mobile communication systems mean that users can expect to have access to data at any time regardless of their location. While this paradigm is a natural goal for both service providers and users in commercial applications, for the exchange of sensitive personal medical information authentication and security present major challenges. This paper presents a token-based procedure for the delegation of trust between a requesting mobile unit and secure medical data storage. Once the trust is established, the received data should only temporarily be available. Our paper presents the design of the proposed solutions and gives details of the software demonstration developed in our research group.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"129 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127670058","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6045
P. Fergus, K. Kifayat, S. Cooper, M. Merabti, A. Rhalibi
Wireless Sensor Networks (WSNs) is a recent technological advancement in Micro Electro Mechanical Systems (MEMS). It has a large number of applications in the health sector, for example, the telemonitoring of human psychophysical data, tracking and drug administration in hospitals. In this paper we present a novel framework using body area WSNs and gaming to improve a patient's physical health. The proposed framework has three main components, the body area WSN, the game, and the data acquisition manager. Using the WSN on the patient's body allows real time motion and medical data to be collected. This information is then filtered and used inside the gaming environment to control the patient's avatar. This data also provides a level adjustment mechanism to change gaming parameters according to the medical status of the patient. Whilst the patient interacts within the gaming environment data is regularly collected from body sensor nodes and stored inside the data store. A neck physiotherapy case study is presented to illustrate the applicability of our approach.
{"title":"A framework for physical health improvement using Wireless Sensor Networks and gaming","authors":"P. Fergus, K. Kifayat, S. Cooper, M. Merabti, A. Rhalibi","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6045","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6045","url":null,"abstract":"Wireless Sensor Networks (WSNs) is a recent technological advancement in Micro Electro Mechanical Systems (MEMS). It has a large number of applications in the health sector, for example, the telemonitoring of human psychophysical data, tracking and drug administration in hospitals. In this paper we present a novel framework using body area WSNs and gaming to improve a patient's physical health. The proposed framework has three main components, the body area WSN, the game, and the data acquisition manager. Using the WSN on the patient's body allows real time motion and medical data to be collected. This information is then filtered and used inside the gaming environment to control the patient's avatar. This data also provides a level adjustment mechanism to change gaming parameters according to the medical status of the patient. Whilst the patient interacts within the gaming environment data is regularly collected from body sensor nodes and stored inside the data store. A neck physiotherapy case study is presented to illustrate the applicability of our approach.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131989390","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6046
A. Matic, V. Osmani
Dementia is a progressive and often gradual decline in mental ability that affects thinking, remembering and reasoning. In addition to Alzheimer's disease, the most common form of dementia, there are many other causes of cognitive decline, such as age related memory loss. Technological and medical advancements have pushed life expectancy higher, thus increasing the number of elderly people and consequently the number of patients that need to be hospitalized. This puts financial pressure on medical institutions which, in conjunction with the shortage of geriatric care professionals, has prompted these institutions to seek various cost-cutting strategies. In particular, technological solutions can address these problems through monitoring and assisting patients with cognitive decline and providing support to their caregivers. The aim is to provide a smart environment that lessens the demand for caregivers to manually assess patients' behavior in specific tasks and hence evaluate cognitive decline. Additionally, within these environments it becomes feasible to implement assistive applications that can support dementia patients while performing everyday tasks. In this respect, this paper proposes the fusion of machine vision and an RFID system that can effectively address the above issues. We will also describe two scenarios that correspond to two different activities the patient can perform and provide an insight into the solutions that are used to support patients and their caregivers in these scenarios.
{"title":"Technologies to monitor cognitive decline a preliminary case study","authors":"A. Matic, V. Osmani","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6046","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6046","url":null,"abstract":"Dementia is a progressive and often gradual decline in mental ability that affects thinking, remembering and reasoning. In addition to Alzheimer's disease, the most common form of dementia, there are many other causes of cognitive decline, such as age related memory loss. Technological and medical advancements have pushed life expectancy higher, thus increasing the number of elderly people and consequently the number of patients that need to be hospitalized. This puts financial pressure on medical institutions which, in conjunction with the shortage of geriatric care professionals, has prompted these institutions to seek various cost-cutting strategies. In particular, technological solutions can address these problems through monitoring and assisting patients with cognitive decline and providing support to their caregivers. The aim is to provide a smart environment that lessens the demand for caregivers to manually assess patients' behavior in specific tasks and hence evaluate cognitive decline. Additionally, within these environments it becomes feasible to implement assistive applications that can support dementia patients while performing everyday tasks. In this respect, this paper proposes the fusion of machine vision and an RFID system that can effectively address the above issues. We will also describe two scenarios that correspond to two different activities the patient can perform and provide an insight into the solutions that are used to support patients and their caregivers in these scenarios.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115726139","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6026
Eric Wade, M. Matarić
The advent of more portable and affordable sensing devices has facilitated the study of rehabilitation robotics. Critical to the further development of therapies and interventions are low-cost, easy-to-use devices that can be applied in clinical and home care settings. In this paper, we present a low-cost motion capture system that relies on the opensource Player/Stage software development environment, and can be used in conjunction with a socially assistive robotic agent (or a computer interface) for various types of motor task rehabilitation training. We describe the hardware and software development for the device, and the activity recognition algorithm we developed to capture the relevant motion data. We present the overall framework in which this system can be adapted to other motor task-based rehabilitation regimens. Finally, we present initial experimental data in the domain of gait rehabilitation, in which we use the system to estimate cadence, walking speed, and stride length.
{"title":"Design and testing of lightweight inexpensive motion-capture devices with application to clinical gait analysis","authors":"Eric Wade, M. Matarić","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6026","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6026","url":null,"abstract":"The advent of more portable and affordable sensing devices has facilitated the study of rehabilitation robotics. Critical to the further development of therapies and interventions are low-cost, easy-to-use devices that can be applied in clinical and home care settings. In this paper, we present a low-cost motion capture system that relies on the opensource Player/Stage software development environment, and can be used in conjunction with a socially assistive robotic agent (or a computer interface) for various types of motor task rehabilitation training. We describe the hardware and software development for the device, and the activity recognition algorithm we developed to capture the relevant motion data. We present the overall framework in which this system can be adapted to other motor task-based rehabilitation regimens. Finally, we present initial experimental data in the domain of gait rehabilitation, in which we use the system to estimate cadence, walking speed, and stride length.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116071466","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 : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6005
Geng Yang, Jian Chen, H. Tenhunen, Lirong Zheng
A personal medical device supporting continuous biosignals monitoring is presented. The novelty of this paper is to provide an intelligent electrode suitable for long-term ECG monitoring. The proposed intelligent electrode is composed of an ASIC chip and a micro pikes array established on a gauze plaster substrate. By comparing the signal quality, the patients comfort and convenience, the proposed intelligent electrode could be an alternative to the traditional adhesive electrode. A prototype for the intelligent electrode is built up based on programmable FPAA and FPGA chips.
{"title":"Intelligent electrode design for long-term ECG monitoring at home: Prototype design using FPAA and FPGA","authors":"Geng Yang, Jian Chen, H. Tenhunen, Lirong Zheng","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6005","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6005","url":null,"abstract":"A personal medical device supporting continuous biosignals monitoring is presented. The novelty of this paper is to provide an intelligent electrode suitable for long-term ECG monitoring. The proposed intelligent electrode is composed of an ASIC chip and a micro pikes array established on a gauze plaster substrate. By comparing the signal quality, the patients comfort and convenience, the proposed intelligent electrode could be an alternative to the traditional adhesive electrode. A prototype for the intelligent electrode is built up based on programmable FPAA and FPGA chips.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121768089","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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