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.PERVASIVEHEALTH2009.6007
Aino Ahtinen, E. Mattila, Antti Väätänen, Lotta Hynninen, J. Salminen, E. Koskinen, K. Laine
An ever-increasing number of people are affected by lifestyle-related health risks, such as overweight, physical inactivity and stress. An ongoing Nuadu trial studies the user acceptance and effectiveness of technologies in supporting the wellness management of working-age citizens. The technologies consist of different Web, mobile and wearable solutions. In this paper, we present the user experience results of three mobile wellness applications: the Wellness Diary, Mobile Coach and SelfRelax. We studied their usefulness, perceived usability, usage habits and motivational factors gathered during the first phase of the trial. The data were collected with user experience questionnaires and interviews, as well as actual usage logs from mobile applications. The findings indicate that the usage habits change during the usage period of more than two months towards more practical ways of use. The results also point out several aspects to be considered when developing future wellness applications for long-term use. These are, e.g. adaptability, versatility, guidance and usability.
{"title":"User experiences of mobile wellness applications in health promotion: User study of Wellness Diary, Mobile Coach and SelfRelax","authors":"Aino Ahtinen, E. Mattila, Antti Väätänen, Lotta Hynninen, J. Salminen, E. Koskinen, K. Laine","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6007","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6007","url":null,"abstract":"An ever-increasing number of people are affected by lifestyle-related health risks, such as overweight, physical inactivity and stress. An ongoing Nuadu trial studies the user acceptance and effectiveness of technologies in supporting the wellness management of working-age citizens. The technologies consist of different Web, mobile and wearable solutions. In this paper, we present the user experience results of three mobile wellness applications: the Wellness Diary, Mobile Coach and SelfRelax. We studied their usefulness, perceived usability, usage habits and motivational factors gathered during the first phase of the trial. The data were collected with user experience questionnaires and interviews, as well as actual usage logs from mobile applications. The findings indicate that the usage habits change during the usage period of more than two months towards more practical ways of use. The results also point out several aspects to be considered when developing future wellness applications for long-term use. These are, e.g. adaptability, versatility, guidance and usability.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"50 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":"122938273","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.PERVASIVEHEALTH2009.6090
L. Sucar, A. Molina, R. Leder, Jorge Hernández, I. Sánchez
Each year millions of people in the world survive a stroke. Movement impairments after stroke are typically treated with intensive, hands-on physical and occupational therapy for several weeks after the initial injury. However, due to economic pressures, stroke patients are receiving less therapy and going home sooner, so the potential benefit of the therapy is not completely realized. Thus, it is important to develop rehabilitation technology that allows individuals who had suffered a stroke to practice intensive movement training without the expense of an always-present therapist. We have developed a low-cost, computer vision system that allows individuals with stroke to practice arm movement exercises at home or at the clinic, with periodic interactions with a therapist. The system integrates a virtual environment for facilitating repetitive movement training, with computer vision algorithms that track the hand of a patient and obtain its 3-D coordinates, using an inexpensive camera and a conventional personal computer. The system, called “Gesture Therapy”, is being evaluated in a controlled clinical trial at a hospital in Mexico City. In this paper we describe the system and discuss the results of a first clinical evaluation.
{"title":"Gesture therapy: A clinical evaluation","authors":"L. Sucar, A. Molina, R. Leder, Jorge Hernández, I. Sánchez","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6090","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6090","url":null,"abstract":"Each year millions of people in the world survive a stroke. Movement impairments after stroke are typically treated with intensive, hands-on physical and occupational therapy for several weeks after the initial injury. However, due to economic pressures, stroke patients are receiving less therapy and going home sooner, so the potential benefit of the therapy is not completely realized. Thus, it is important to develop rehabilitation technology that allows individuals who had suffered a stroke to practice intensive movement training without the expense of an always-present therapist. We have developed a low-cost, computer vision system that allows individuals with stroke to practice arm movement exercises at home or at the clinic, with periodic interactions with a therapist. The system integrates a virtual environment for facilitating repetitive movement training, with computer vision algorithms that track the hand of a patient and obtain its 3-D coordinates, using an inexpensive camera and a conventional personal computer. The system, called “Gesture Therapy”, is being evaluated in a controlled clinical trial at a hospital in Mexico City. In this paper we describe the system and discuss the results of a first clinical evaluation.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"23 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":"134098374","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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