Pub Date : 2012-12-13DOI: 10.1109/HEALTHCOM.2012.6380069
Hao Chen, D. Xiang, Qin Wei-yi, Minwei Zhou, Tian Yan, Liu Jian, Mingyu Wang, Jijiang Yang, Wang Qing, Haifeng Yang, Xianjun Sun, Haixiao Gao, Li Geng, Gao Qiang
We established a regional cooperative emergency care system of ST-elevation myocardial infarction patients based on the internet of things. In this article, the current status and problems of ST-elevation myocardial infarction patient emergency care have been studied and key influence factors are found. As the results, a shorter time from symptom onset to reperfusion is achieved with improved outcomes for patients with ST-segment elevation myocardial infarction (STEMI). Primary percutaneous coronary intervention (PCI) in patients with STEMI significantly reduces mortality and morbidity, particularly when door-to-balloon (D2B) time is <; 90 min. An expedited pre-hospital diagnosis and transfer pathway was developed, with rapid reperfusion times and favorable outcomes.
{"title":"A study of regional cooperative emergency care system for ST-elevation myocardial infarction patients based on the internet of things","authors":"Hao Chen, D. Xiang, Qin Wei-yi, Minwei Zhou, Tian Yan, Liu Jian, Mingyu Wang, Jijiang Yang, Wang Qing, Haifeng Yang, Xianjun Sun, Haixiao Gao, Li Geng, Gao Qiang","doi":"10.1109/HEALTHCOM.2012.6380069","DOIUrl":"https://doi.org/10.1109/HEALTHCOM.2012.6380069","url":null,"abstract":"We established a regional cooperative emergency care system of ST-elevation myocardial infarction patients based on the internet of things. In this article, the current status and problems of ST-elevation myocardial infarction patient emergency care have been studied and key influence factors are found. As the results, a shorter time from symptom onset to reperfusion is achieved with improved outcomes for patients with ST-segment elevation myocardial infarction (STEMI). Primary percutaneous coronary intervention (PCI) in patients with STEMI significantly reduces mortality and morbidity, particularly when door-to-balloon (D2B) time is <; 90 min. An expedited pre-hospital diagnosis and transfer pathway was developed, with rapid reperfusion times and favorable outcomes.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121174414","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379412
Giorgio Quer, R. Rao
The human heart rate is influenced by different internal systems of the body and can reveal valuable information about health and disease conditions. In this paper, we analyze the instantaneous heart rate signal using a Bayesian method, inferring in real time a probabilistic distribution that approximates the real distribution of this signal. The best model is chosen after an experimental analysis of real data collected within our framework. The parameters of this distribution can reveal interesting insights on the influences of the sympathetic and parasympathetic divisions of the autonomic nervous system (ANS) in real time.
{"title":"A Bayesian model of heart rate to reveal real-time physiological information","authors":"Giorgio Quer, R. Rao","doi":"10.1109/HealthCom.2012.6379412","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379412","url":null,"abstract":"The human heart rate is influenced by different internal systems of the body and can reveal valuable information about health and disease conditions. In this paper, we analyze the instantaneous heart rate signal using a Bayesian method, inferring in real time a probabilistic distribution that approximates the real distribution of this signal. The best model is chosen after an experimental analysis of real data collected within our framework. The parameters of this distribution can reveal interesting insights on the influences of the sympathetic and parasympathetic divisions of the autonomic nervous system (ANS) in real time.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133240834","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6380061
Longfeng Chen, Guixia Kang, Xidong Zhang, Lichen Lee, Xiangyi Li
In the intelligent monitoring of the hypertensive patients, it's necessary to assess their treatment effect and give corresponding diagnostic feedback automatically. This paper proposed a hybrid decision support system (DSS) combining several data mining techniques using an improved weighted majority voting scheme (iWMV). The mass health data of hypertensive patients were used as data source of the data mining techniques, and iWMV was used to produce a proper final judgement on patients' control condition on the basis of the individual classifier results. The proposed system was trained and evaluated using data from 167 hypertensive patients. Performance analysis showed that the hybrid system could reach classification rate (CR) of 95.34% and kappa coefficient (KC) of 92.54%, much better than systems with a single classification algorithm or combining using the simple weighted majority voting scheme (WMV). Moreover, the proposed DSS showed high stability.
{"title":"Hybrid decision making in the monitoring of hypertensive patients","authors":"Longfeng Chen, Guixia Kang, Xidong Zhang, Lichen Lee, Xiangyi Li","doi":"10.1109/HealthCom.2012.6380061","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6380061","url":null,"abstract":"In the intelligent monitoring of the hypertensive patients, it's necessary to assess their treatment effect and give corresponding diagnostic feedback automatically. This paper proposed a hybrid decision support system (DSS) combining several data mining techniques using an improved weighted majority voting scheme (iWMV). The mass health data of hypertensive patients were used as data source of the data mining techniques, and iWMV was used to produce a proper final judgement on patients' control condition on the basis of the individual classifier results. The proposed system was trained and evaluated using data from 167 hypertensive patients. Performance analysis showed that the hybrid system could reach classification rate (CR) of 95.34% and kappa coefficient (KC) of 92.54%, much better than systems with a single classification algorithm or combining using the simple weighted majority voting scheme (WMV). Moreover, the proposed DSS showed high stability.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127115060","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379378
S. Yeh, Shun-Min Chang, Shuya Chen, Wu-Yuin Hwang, T. Huang, Te-Lu Tsai
Prior studies show that active-motion early after a fracture surgery can effectively reduce the tissue viscosity. However, due to the postoperative pain and unawareness of the postoperative limitations, a patient prefers to take medication to alleviate pain while complicated rehabilitation exercises can only be implemented under the limited intervention of a therapist, resulting in the patient's lack of interactive feedback on a daily basis and a failure of self-motions to miss the timing of rehabilitation. This study is intended to develop a lower limb fracture postoperative-guided interactive rehabilitation training system for the hip, knee and ankle joints, and establish a method of motion analysis and a method of motion performance assessment in conjunction with the wireless sensor technology and animation techniques, providing an objective assessment from the caregiver and learning the patient's rehabilitation status with a simple and easy recording means. Additionally, with the design of interactive feedback, the improved postoperative rehabilitations are tried to increase the participant's interest in self-management of health and facilitate to keep tracking the rehabilitation information. The medical evidences show that a guided rehabilitation system can enhance the patient's motive and willingness to be committed to a rehabilitation training as well as increase Quality and Amount of the exercise activity during the training process.
{"title":"A lower limb fracture postoperative-guided interactive rehabilitation training system and its effectiveness analysis","authors":"S. Yeh, Shun-Min Chang, Shuya Chen, Wu-Yuin Hwang, T. Huang, Te-Lu Tsai","doi":"10.1109/HealthCom.2012.6379378","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379378","url":null,"abstract":"Prior studies show that active-motion early after a fracture surgery can effectively reduce the tissue viscosity. However, due to the postoperative pain and unawareness of the postoperative limitations, a patient prefers to take medication to alleviate pain while complicated rehabilitation exercises can only be implemented under the limited intervention of a therapist, resulting in the patient's lack of interactive feedback on a daily basis and a failure of self-motions to miss the timing of rehabilitation. This study is intended to develop a lower limb fracture postoperative-guided interactive rehabilitation training system for the hip, knee and ankle joints, and establish a method of motion analysis and a method of motion performance assessment in conjunction with the wireless sensor technology and animation techniques, providing an objective assessment from the caregiver and learning the patient's rehabilitation status with a simple and easy recording means. Additionally, with the design of interactive feedback, the improved postoperative rehabilitations are tried to increase the participant's interest in self-management of health and facilitate to keep tracking the rehabilitation information. The medical evidences show that a guided rehabilitation system can enhance the patient's motive and willingness to be committed to a rehabilitation training as well as increase Quality and Amount of the exercise activity during the training process.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129599487","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379414
Guigang Zhang, C. Li, Yong Zhang, Chunxiao Xing, Jijiang Yang
With the development of IoT technologies, more and more medial sensors have been used to monitor people's health. In this paper, we design a kind of semantic medical monitoring system model in the cloud based on the IoT sensors. Lots of IoT sensors will accept the massive sensor data every time. All these massive sensor data will be stored in the HDFS and some information will be stored into the HUADING-S, a column-based database. All these HUADING-S data will connect to the medical rule engine. When the users' or patients' health indicators' data is beyond the normal range, the medical rule engine will send the alert information to the users or patients. We design two algorithms: (1) massive semantic medical rules processing algorithm without external communication and (2) massive semantic medical rules processing algorithm with external communication. Our simulation experiment shows that the algorithm 2 will reduce the time cost a lot and improve the executive efficiency.
{"title":"SemanMedical: A kind of semantic medical monitoring system model based on the IoT sensors","authors":"Guigang Zhang, C. Li, Yong Zhang, Chunxiao Xing, Jijiang Yang","doi":"10.1109/HealthCom.2012.6379414","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379414","url":null,"abstract":"With the development of IoT technologies, more and more medial sensors have been used to monitor people's health. In this paper, we design a kind of semantic medical monitoring system model in the cloud based on the IoT sensors. Lots of IoT sensors will accept the massive sensor data every time. All these massive sensor data will be stored in the HDFS and some information will be stored into the HUADING-S, a column-based database. All these HUADING-S data will connect to the medical rule engine. When the users' or patients' health indicators' data is beyond the normal range, the medical rule engine will send the alert information to the users or patients. We design two algorithms: (1) massive semantic medical rules processing algorithm without external communication and (2) massive semantic medical rules processing algorithm with external communication. Our simulation experiment shows that the algorithm 2 will reduce the time cost a lot and improve the executive efficiency.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129707417","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}
In this paper we proposed a novel cochannel interference avoidance strategy for outdoor remote medical monitor network. We employ simulated annealing to design the channel allocation algorithm, which is the core of the strategy. We implemented the strategy in the experimental we built at Beijing outer suburb and took a series of experiments to examine the effect of the strategy. The experimental results showed that the interference level in the network was well controlled after the strategy is used.
{"title":"Novel cochannel interference avoidance strategy for outdoor remote medical monitor network","authors":"Xidong Zhang, Guixia Kang, Ping Zhang, Heng Zhang, Xin Gui","doi":"10.1109/HealthCom.2012.6379446","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379446","url":null,"abstract":"In this paper we proposed a novel cochannel interference avoidance strategy for outdoor remote medical monitor network. We employ simulated annealing to design the channel allocation algorithm, which is the core of the strategy. We implemented the strategy in the experimental we built at Beijing outer suburb and took a series of experiments to examine the effect of the strategy. The experimental results showed that the interference level in the network was well controlled after the strategy is used.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127224696","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379375
D. Lin, Xidong Zhang, F. Labeau, Guixia Kang
In this paper, we detail the design of a hypertension monitoring system via telecommunication and computer technologies and propose a method for theoretically analyzing its system accuracy. In the design of our system, we add a novel decision support unit, building on a diagnosis standard in medicine, into our monitoring system. The architecture of our system, including this decision support system, is detailed in this paper. In the analysis of our system accuracy, we theoretically evaluate the accuracy of a decision support system by linking the system accuracy with the distribution of sensors' errors. Additionally, we verify our proposed analysis of system accuracy in this paper by comparing its result to that of Monte Carlo simulation.
{"title":"A hypertension monitoring system and its system accuracy evaluation","authors":"D. Lin, Xidong Zhang, F. Labeau, Guixia Kang","doi":"10.1109/HealthCom.2012.6379375","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379375","url":null,"abstract":"In this paper, we detail the design of a hypertension monitoring system via telecommunication and computer technologies and propose a method for theoretically analyzing its system accuracy. In the design of our system, we add a novel decision support unit, building on a diagnosis standard in medicine, into our monitoring system. The architecture of our system, including this decision support system, is detailed in this paper. In the analysis of our system accuracy, we theoretically evaluate the accuracy of a decision support system by linking the system accuracy with the distribution of sensors' errors. Additionally, we verify our proposed analysis of system accuracy in this paper by comparing its result to that of Monte Carlo simulation.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129053040","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 : 2012-12-13DOI: 10.1109/HealthCom.2012.6379463
Felix Büsching, Maximiliano Bottazzi, L. Wolf
In most of today's healthcare and AAL scenarios a multitude of data is recorded by different sensors for various purposes. By definition, this data is mostly personal and can be assigned to certain persons, which again makes it interesting for shady data miners, hackers, or even health insurance companies. Thus, this data needs special care regarding privacy and security. On the other hand, if the systems are spread over a larger area, a remote access to such systems is essential for the operator. At least a basic system monitoring should be possible and backups to a distant location are beneficial if the distributed systems fail. In this paper we provide concepts and solutions how in distributed installations of personal AAL platforms privacy and security can be preserved, while remote backup and restore functionality and remote system monitoring can be provided.
{"title":"The GAL monitoring concept for distributed aal platforms","authors":"Felix Büsching, Maximiliano Bottazzi, L. Wolf","doi":"10.1109/HealthCom.2012.6379463","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379463","url":null,"abstract":"In most of today's healthcare and AAL scenarios a multitude of data is recorded by different sensors for various purposes. By definition, this data is mostly personal and can be assigned to certain persons, which again makes it interesting for shady data miners, hackers, or even health insurance companies. Thus, this data needs special care regarding privacy and security. On the other hand, if the systems are spread over a larger area, a remote access to such systems is essential for the operator. At least a basic system monitoring should be possible and backups to a distant location are beneficial if the distributed systems fail. In this paper we provide concepts and solutions how in distributed installations of personal AAL platforms privacy and security can be preserved, while remote backup and restore functionality and remote system monitoring can be provided.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128207147","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}
Recent advances of hardware and integrated chip have made the body-implanted medical device reality. In this paper, a chronic disease management system with implanted devices based on Wireless Sensor Networks (WSN) was proposed for people with chronic illnesses. We first described the architecture of the chronic disease management system. Then through analyzing the system architecture, we explained the advantages of our new system and pointed out the main issue of the short lifetime of the implanted medical devices. Then a cooperative strategy was proposed in the particular system to decrease the energy consumption, which extended the entire lifetime of all implanted devices. Finally, we evaluated the performance of our strategy with simulations.
{"title":"Chronic disease management system with body-implanted medical devices based on Wireless Sensor Networks","authors":"Xiangyi Li, Guixia Kang, Yifan Zhang, Xidong Zhang, Longfeng Chen, Lichen Lee","doi":"10.1109/HealthCom.2012.6379474","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379474","url":null,"abstract":"Recent advances of hardware and integrated chip have made the body-implanted medical device reality. In this paper, a chronic disease management system with implanted devices based on Wireless Sensor Networks (WSN) was proposed for people with chronic illnesses. We first described the architecture of the chronic disease management system. Then through analyzing the system architecture, we explained the advantages of our new system and pointed out the main issue of the short lifetime of the implanted medical devices. Then a cooperative strategy was proposed in the particular system to decrease the energy consumption, which extended the entire lifetime of all implanted devices. Finally, we evaluated the performance of our strategy with simulations.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114628989","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}
Stroke is one of the major diseases around the world. The brain injury caused by stroke will derive sustaining neurological disorder of different forms, which in turn will lead to all kinds of limb and body exercise hindrance and will cause significant challenge to the life of the patient, that is, the quality of life of the patient is going to be strictly affected. Along with the development and popularity of technology, scholars in the medical care and rehabilitation fields are trying to integrate all kinds of new technologies to perform the development of new rehabilitation training system. This research aims at rehabilitation items of upper limbs, which include the reciprocating stretching of upper limb, reaching of the upper arm, bi-lateral coordination and balance of the body. In association with interactive technology, game technology, sensor technology and stereo image technology, virtual reality physical-based training task is developed, and initial pilot test is done on patient with stroke, meanwhile, multi-dimensional experimental results are acquired, which include clinical test assessment, task performance, historical data of exercise track and psychological emotional data. The research objectives are to verify the functionality of the system, to verify the effectiveness of the system on rehabilitation, to develop new assessment method and to investigate topics related to human machine interaction. The experimental results have verified the functionality of this rehabilitation training task in all aspects. Through the exercise analysis of the historical data of exercise track and the statistical analysis of task performance of the past therapy sessions, this system can acquire successfully reliable and valuable information to be used for future verification of medical therapeutic effectiveness and the development of new type of clinical assessment method. In the mean time, according to the measured psychological emotional data as perceived subjectively, this system indeed can urge the patient to engage continuously rehabilitation therapeutic session that is based on this training system and enjoy it, besides, the authors are very confident on the possibly generated rehabilitation effect of these two training tasks.
{"title":"Virtual reality for post-stroke shoulder-arm motor rehabilitation: Training system & assessment method","authors":"S. Yeh, Si-Huei Lee, Jia-Chi Wang, Shuya Chen, Yu-Tsung Chen, Yi-Yung Yang, Huang-Ren Chen, Yen-Po Hung","doi":"10.1109/HealthCom.2012.6379398","DOIUrl":"https://doi.org/10.1109/HealthCom.2012.6379398","url":null,"abstract":"Stroke is one of the major diseases around the world. The brain injury caused by stroke will derive sustaining neurological disorder of different forms, which in turn will lead to all kinds of limb and body exercise hindrance and will cause significant challenge to the life of the patient, that is, the quality of life of the patient is going to be strictly affected. Along with the development and popularity of technology, scholars in the medical care and rehabilitation fields are trying to integrate all kinds of new technologies to perform the development of new rehabilitation training system. This research aims at rehabilitation items of upper limbs, which include the reciprocating stretching of upper limb, reaching of the upper arm, bi-lateral coordination and balance of the body. In association with interactive technology, game technology, sensor technology and stereo image technology, virtual reality physical-based training task is developed, and initial pilot test is done on patient with stroke, meanwhile, multi-dimensional experimental results are acquired, which include clinical test assessment, task performance, historical data of exercise track and psychological emotional data. The research objectives are to verify the functionality of the system, to verify the effectiveness of the system on rehabilitation, to develop new assessment method and to investigate topics related to human machine interaction. The experimental results have verified the functionality of this rehabilitation training task in all aspects. Through the exercise analysis of the historical data of exercise track and the statistical analysis of task performance of the past therapy sessions, this system can acquire successfully reliable and valuable information to be used for future verification of medical therapeutic effectiveness and the development of new type of clinical assessment method. In the mean time, according to the measured psychological emotional data as perceived subjectively, this system indeed can urge the patient to engage continuously rehabilitation therapeutic session that is based on this training system and enjoy it, besides, the authors are very confident on the possibly generated rehabilitation effect of these two training tasks.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132102546","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：