Pub Date : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6014
P. Langendörfer, F. Vater, K. Piotrowski
In this paper we introduce the idea of realizing pervasive health care applications by tailoring the underlying hardware and software to the needs of this specific application. We illustrate the feasibility of our idea by discussing a generalized approach for combining different hardware components as well as a generalized approach for adapting specific software components.
{"title":"Customizing sensor nodes and software for individual pervasive health applications","authors":"P. Langendörfer, F. Vater, K. Piotrowski","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6014","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6014","url":null,"abstract":"In this paper we introduce the idea of realizing pervasive health care applications by tailoring the underlying hardware and software to the needs of this specific application. We illustrate the feasibility of our idea by discussing a generalized approach for combining different hardware components as well as a generalized approach for adapting specific software components.","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":"134452477","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}
Pub Date : 2009-04-01DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5994
S. Wagner
Pervasive healthcare technology is one of the methods for meeting the challenges of an aging population in many western world countries, as well as an expected major shortage of healthcare personnel. The OpenCare Project is an open source infrastructure framework, designed to be used by researchers and corporate developers for developing experimental assistive living prototypes. The Personal Communication Device is an extension of this infrastructure allowing the user to leave his home while continuing the surveillance of his vital signs through sensors, access to medication reminders and other messages, as well as allowing for easy communication and emergency location services. This paper reports on the current work in progress.
{"title":"OpenCare project personal communication device","authors":"S. Wagner","doi":"10.4108/ICST.PERVASIVEHEALTH2009.5994","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.5994","url":null,"abstract":"Pervasive healthcare technology is one of the methods for meeting the challenges of an aging population in many western world countries, as well as an expected major shortage of healthcare personnel. The OpenCare Project is an open source infrastructure framework, designed to be used by researchers and corporate developers for developing experimental assistive living prototypes. The Personal Communication Device is an extension of this infrastructure allowing the user to leave his home while continuing the surveillance of his vital signs through sensors, access to medication reminders and other messages, as well as allowing for easy communication and emergency location services. This paper reports on the current work in progress.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"83 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":"128666303","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.PERVASIVEHEALTH2009.6049
Stefan Rennick Egglestone, L. Axelrod, Thomas Nind, R. Turk, A. Wilkinson, J. Burridge, G. Fitzpatrick, S. Mawson, Zoe Robertson, A. Hughes, Kher Hui Ng, Will Pearson, N. Shublaq, P. Smith, I. Ricketts, T. Rodden
We present a design framework for a sensor-based stroke rehabilitation system for use at home developed through the analysis of data collected from a series of workshops. Participants had a variety of backgrounds and included people living with stroke and health professionals who work with them. Our focus in these workshops was to learn more about the social context around stroke care, to share early project ideas and develop a design framework for developing systems. In this paper we present a detailed analysis of participant responses and use this analysis to draw specific conclusions about the components and configuration that we believe should be in future systems.
{"title":"A design framework for a home-based stroke rehabilitation system: Identifying the key components","authors":"Stefan Rennick Egglestone, L. Axelrod, Thomas Nind, R. Turk, A. Wilkinson, J. Burridge, G. Fitzpatrick, S. Mawson, Zoe Robertson, A. Hughes, Kher Hui Ng, Will Pearson, N. Shublaq, P. Smith, I. Ricketts, T. Rodden","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6049","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6049","url":null,"abstract":"We present a design framework for a sensor-based stroke rehabilitation system for use at home developed through the analysis of data collected from a series of workshops. Participants had a variety of backgrounds and included people living with stroke and health professionals who work with them. Our focus in these workshops was to learn more about the social context around stroke care, to share early project ideas and develop a design framework for developing systems. In this paper we present a detailed analysis of participant responses and use this analysis to draw specific conclusions about the components and configuration that we believe should be in future systems.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"37 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":"129575717","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.PERVASIVEHEALTH2009.6032
M. Benocci, L. Rocchi, Elisabetta Farella, L. Chiari, L. Benini
In this paper we describe a wireless wearable system to monitor gait, based on a customized pair of commercial insoles able to collect ground reaction forces by use of 24 embedded cells for each foot. Each insole was combined with a small form factor, low-power Inertial Measurement Unit (IMU) and enabled to communicate via Bluetooth with a base station. We present here the characterization of the system both in terms of performance and in terms of functionality. The system was tested on a subject to demonstrate the usability and the features extraction during gait; this data allow to recognize walking phase in terms of swing and stance phase, step and stride duration, double support and single support duration, both using the pressure sensors and the IMU.
{"title":"A wireless system for gait and posture analysis based on pressure insoles and Inertial Measurement Units","authors":"M. Benocci, L. Rocchi, Elisabetta Farella, L. Chiari, L. Benini","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6032","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6032","url":null,"abstract":"In this paper we describe a wireless wearable system to monitor gait, based on a customized pair of commercial insoles able to collect ground reaction forces by use of 24 embedded cells for each foot. Each insole was combined with a small form factor, low-power Inertial Measurement Unit (IMU) and enabled to communicate via Bluetooth with a base station. We present here the characterization of the system both in terms of performance and in terms of functionality. The system was tested on a subject to demonstrate the usability and the features extraction during gait; this data allow to recognize walking phase in terms of swing and stance phase, step and stride duration, double support and single support duration, both using the pressure sensors and the IMU.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"47 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":"125023490","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.PERVASIVEHEALTH2009.6025
Y. Lee, J. Tullio, N. Narasimhan, P. Kaushik, Jonathan Engelsma, S. Basapur
We conducted five focus groups with seniors and middle-aged participants who live independently in their own homes to assess the potential value of a home-centered medication reminder system concept. The medication reminder system was conceptualized as a system that uses a television and set-top box, mobile phones and other in-home accessories as a means to set and deliver medication reminders. We found that the main value perceived by participants in the medication reminder system was its ability to provide multiple channels for them to be reminded of medications. The mobile phone, due to its advantages in portability and privacy, was considered to be the most useful device on which to receive reminders. Most participants saw value in receiving secondary reminders on other devices in their home such as the TV, PC, and other in-home accessories. Design implications along with other findings about the challenges faced by participants in managing their medications are discussed.
{"title":"Investigating the potential of in-home devices for improving medication adherence","authors":"Y. Lee, J. Tullio, N. Narasimhan, P. Kaushik, Jonathan Engelsma, S. Basapur","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6025","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6025","url":null,"abstract":"We conducted five focus groups with seniors and middle-aged participants who live independently in their own homes to assess the potential value of a home-centered medication reminder system concept. The medication reminder system was conceptualized as a system that uses a television and set-top box, mobile phones and other in-home accessories as a means to set and deliver medication reminders. We found that the main value perceived by participants in the medication reminder system was its ability to provide multiple channels for them to be reminded of medications. The mobile phone, due to its advantages in portability and privacy, was considered to be the most useful device on which to receive reminders. Most participants saw value in receiving secondary reminders on other devices in their home such as the TV, PC, and other in-home accessories. Design implications along with other findings about the challenges faced by participants in managing their medications are discussed.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"80 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":"121118715","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.PERVASIVEHEALTH2009.6009
M. Weal, D. Michaelides, Kevin R. Page, D. D. Roure, M. Gobbi, E. Monger, Fernando Martinez
Semantic annotation has been used to combine varied information sources - gathered as unobtrusively as possible - and produce enhanced tools for working with digital resources. In this paper we describe trials carried out using a location tracking system and Semantic Web annotation technologies to analyse activities in a simulated ward environment. The motivation for semantic annotation of the space will be outlined along with the practicalities of the location based tracking system. The integration of location, annotations and video information will be discussed together with the technologies and approaches applicability to use in a real ward environment.
{"title":"Location based semantic annotation for ward analysis","authors":"M. Weal, D. Michaelides, Kevin R. Page, D. D. Roure, M. Gobbi, E. Monger, Fernando Martinez","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6009","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6009","url":null,"abstract":"Semantic annotation has been used to combine varied information sources - gathered as unobtrusively as possible - and produce enhanced tools for working with digital resources. In this paper we describe trials carried out using a location tracking system and Semantic Web annotation technologies to analyse activities in a simulated ward environment. The motivation for semantic annotation of the space will be outlined along with the practicalities of the location based tracking system. The integration of location, annotations and video information will be discussed together with the technologies and approaches applicability to use in a real ward environment.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"13 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":"128579926","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.PERVASIVEHEALTH2009.6059
U. Naeem, J. Bigham
The integration of RFID sensors into everyday products has become a widespread solution for increasing efficiency in supply chain management. This has also led to a way of being able to monitor everyday activities in the home based on when and how these products are used, which is less intrusive than other monitoring approaches such as visual based systems. Monitoring activities in a home environment can be seen as a good way of analyzing behavior and tracking functional decline among elderly people. This paper describes a hierarchal approach for activity recognition using object usage data generated by everyday products used around the home. The motivation of this work is to allow people with early Alzheimer's disease to have additional years of independent living before the disease reaches a stage where the person is fully dependable on someone else.
{"title":"Recognising activities of daily life through the usage of everyday objects around the home","authors":"U. Naeem, J. Bigham","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6059","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6059","url":null,"abstract":"The integration of RFID sensors into everyday products has become a widespread solution for increasing efficiency in supply chain management. This has also led to a way of being able to monitor everyday activities in the home based on when and how these products are used, which is less intrusive than other monitoring approaches such as visual based systems. Monitoring activities in a home environment can be seen as a good way of analyzing behavior and tracking functional decline among elderly people. This paper describes a hierarchal approach for activity recognition using object usage data generated by everyday products used around the home. The motivation of this work is to allow people with early Alzheimer's disease to have additional years of independent living before the disease reaches a stage where the person is fully dependable on someone else.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"61 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":"117326222","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.PERVASIVEHEALTH2009.6034
Shumei Zhang, P. Mccullagh, C. Nugent, Huiru Zheng
A robust method of fall and motionless detection is presented. The approach is able to detect falls and motionless periods (standing, sitting, and lying) using only one belt-worn kinematic sensor. The fall detection algorithm analyses the phase changes of vertical acceleration in relation to gravity and impact force using kinematic variables. A phase angle value was used as a threshold to distinguish between falls and normal motion activity. There are two advantages with this approach in comparison with existing approaches: (1) it is computationally efficient and theoretic (2) it is based on a single threshold value which was determined from a kinematic analysis for the falling processes. To evaluate the system, ten subjects were studied each of which performed different types of falls and motionless activities during a period of monitoring activity. These included: normal walking, standing, sitting, lying, a front bend of 90 degrees, tilt over 70 degrees and four kinds of falls (forward, backward, tilt left and right). The results show that 100% of heavy falling, 97% of all falls and 100% of motionless activity were correctly detected in a laboratory environment and the beginning and ends of these events were determined.
{"title":"A theoretic algorithm for fall and motionless detection","authors":"Shumei Zhang, P. Mccullagh, C. Nugent, Huiru Zheng","doi":"10.4108/ICST.PERVASIVEHEALTH2009.6034","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6034","url":null,"abstract":"A robust method of fall and motionless detection is presented. The approach is able to detect falls and motionless periods (standing, sitting, and lying) using only one belt-worn kinematic sensor. The fall detection algorithm analyses the phase changes of vertical acceleration in relation to gravity and impact force using kinematic variables. A phase angle value was used as a threshold to distinguish between falls and normal motion activity. There are two advantages with this approach in comparison with existing approaches: (1) it is computationally efficient and theoretic (2) it is based on a single threshold value which was determined from a kinematic analysis for the falling processes. To evaluate the system, ten subjects were studied each of which performed different types of falls and motionless activities during a period of monitoring activity. These included: normal walking, standing, sitting, lying, a front bend of 90 degrees, tilt over 70 degrees and four kinds of falls (forward, backward, tilt left and right). The results show that 100% of heavy falling, 97% of all falls and 100% of motionless activity were correctly detected in a laboratory environment and the beginning and ends of these events were determined.","PeriodicalId":199517,"journal":{"name":"2009 3rd International Conference on Pervasive Computing Technologies for Healthcare","volume":"75 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":"127290156","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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