Pub Date : 2015-05-01DOI: 10.1109/LISAT.2015.7160179
T. Piliouras, Robert J. Suss, Pui Lam Raymond Yu
Electronic capture of patient records, including digital imaging, facilitates: i) collaboration and communication between providers and entities involved in patient care, ii) compilation of lifetime patient histories that are more accessible to treating physicians, and iii) aggregation of population data for evidence-based medicine and creation of decision support tools. The Medicare and Medicaid electronic health record (EHR) Incentive Programs and associated Meaningful Use (MU) requirements are a driving force in the evolution towards digitized patient recordkeeping. For the foreseeable future, MU will continue to exert pressure on EHR vendors, hospitals, and ambulatory practices to conform to increasingly stringent government reporting requirements or else face obsolescence and/or reduced fees for services. This is encouraging many practices - including radiology and digital imaging centers - that may have opted out of MU compliance in the past - to re-examine how they integrate their work flows with EHR systems and with other physicians and treatment facilities. This paper describes digital imaging technology and strategies to interface and integrate it with EHR systems and clinical work flows. A case study based on the open source electronic health record software, OpenEMR, is presented as an illustrative example of challenges integrating imaging and EHR technology across and between clinical practices. The case study demonstrates how poor EHR integration with picture archiving and communication systems (PACS) and radiology information systems (RIS) complicates and adds to the clinician work flow and reduces the diagnostic value of imaging data. EHR, PACS, and RIS vendors need to improve system interoperability and image sharing capabilities in their product offerings. Better, more complete standards are needed to enable this to happen. DICOM, HL7, IHE, and other standards are evolving to address gaps in data integration and continuity across the spectrum of health information technology used in patient care. This will alleviate burdens on healthcare professionals and information technology staff who must use and implement systems infrastructure while maintaining compliance with Meaningful Use (MU) and Health Insurance Portability and Accountability Act (HIPAA). This is essential to achieving technology's promise of optimized healthcare delivery.
{"title":"Digital imaging & electronic health record systems: Implementation and regulatory challenges faced by healthcare providers","authors":"T. Piliouras, Robert J. Suss, Pui Lam Raymond Yu","doi":"10.1109/LISAT.2015.7160179","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160179","url":null,"abstract":"Electronic capture of patient records, including digital imaging, facilitates: i) collaboration and communication between providers and entities involved in patient care, ii) compilation of lifetime patient histories that are more accessible to treating physicians, and iii) aggregation of population data for evidence-based medicine and creation of decision support tools. The Medicare and Medicaid electronic health record (EHR) Incentive Programs and associated Meaningful Use (MU) requirements are a driving force in the evolution towards digitized patient recordkeeping. For the foreseeable future, MU will continue to exert pressure on EHR vendors, hospitals, and ambulatory practices to conform to increasingly stringent government reporting requirements or else face obsolescence and/or reduced fees for services. This is encouraging many practices - including radiology and digital imaging centers - that may have opted out of MU compliance in the past - to re-examine how they integrate their work flows with EHR systems and with other physicians and treatment facilities. This paper describes digital imaging technology and strategies to interface and integrate it with EHR systems and clinical work flows. A case study based on the open source electronic health record software, OpenEMR, is presented as an illustrative example of challenges integrating imaging and EHR technology across and between clinical practices. The case study demonstrates how poor EHR integration with picture archiving and communication systems (PACS) and radiology information systems (RIS) complicates and adds to the clinician work flow and reduces the diagnostic value of imaging data. EHR, PACS, and RIS vendors need to improve system interoperability and image sharing capabilities in their product offerings. Better, more complete standards are needed to enable this to happen. DICOM, HL7, IHE, and other standards are evolving to address gaps in data integration and continuity across the spectrum of health information technology used in patient care. This will alleviate burdens on healthcare professionals and information technology staff who must use and implement systems infrastructure while maintaining compliance with Meaningful Use (MU) and Health Insurance Portability and Accountability Act (HIPAA). This is essential to achieving technology's promise of optimized healthcare delivery.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129420264","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 : 2015-05-01DOI: 10.1109/LISAT.2015.7160184
Dheyaa Alhelal, K. Aboalayon, M. Daneshzand, M. Faezipour
In this work, an efficient digital system is designed using hardware to filter the Electrocardiogram (ECG) signal and to detect the QRS complex (beats). The system implementation has been done by using a Field Programmable Gate Array (FPGA). In the first phase of the hardware system implementation, Finite Impulse Response (FIR) filters are designed for preprocessing and denoising the ECG signal. The filtered signal is then used as the input of the second phase of the hardware implementation to detect and classify the ECG beats. The entire system has been implemented on ALTERA DE II FPGA by designing synthesizable finite state machines. Quartus II tool has been used to simulate and test the system. The designed system has been tested on ECG waves from the MIT-BIH Arrhythmia database by windowing the signal and applying adaptive signal and noise thresholds in each window of processing. The hardware system has achieved an overall accuracy of 98% in the beat detection phase, while providing the detected beats and the classification of irregular heart beat rates in real time.
在这项工作中，利用硬件设计了一个高效的数字系统来过滤心电图(ECG)信号并检测QRS复合体(心跳)。系统采用现场可编程门阵列(FPGA)实现。在硬件系统实现的第一阶段，设计了有限脉冲响应(FIR)滤波器对心电信号进行预处理和去噪。然后将滤波后的信号用作硬件实现第二阶段的输入，以检测和分类心电拍。通过设计可合成有限状态机，在ALTERA DE II FPGA上实现了整个系统。利用Quartus II工具对系统进行了仿真和测试。设计的系统已在MIT-BIH心律失常数据库的心电波上进行了测试，通过对信号进行窗口处理，并在每个处理窗口中应用自适应信号和噪声阈值。硬件系统在心跳检测阶段的总体准确率达到98%，同时实时提供检测到的心跳和不规则心率的分类。
{"title":"FPGA-based denoising and beat detection of the ECG signal","authors":"Dheyaa Alhelal, K. Aboalayon, M. Daneshzand, M. Faezipour","doi":"10.1109/LISAT.2015.7160184","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160184","url":null,"abstract":"In this work, an efficient digital system is designed using hardware to filter the Electrocardiogram (ECG) signal and to detect the QRS complex (beats). The system implementation has been done by using a Field Programmable Gate Array (FPGA). In the first phase of the hardware system implementation, Finite Impulse Response (FIR) filters are designed for preprocessing and denoising the ECG signal. The filtered signal is then used as the input of the second phase of the hardware implementation to detect and classify the ECG beats. The entire system has been implemented on ALTERA DE II FPGA by designing synthesizable finite state machines. Quartus II tool has been used to simulate and test the system. The designed system has been tested on ECG waves from the MIT-BIH Arrhythmia database by windowing the signal and applying adaptive signal and noise thresholds in each window of processing. The hardware system has achieved an overall accuracy of 98% in the beat detection phase, while providing the detected beats and the classification of irregular heart beat rates in real time.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130208402","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 : 2015-05-01DOI: 10.1109/LISAT.2015.7160215
Doug Kim
This paper presents a way of collecting indoor RF propagation loss data utilizing multiple mobile robots collaborating through double-layered networks. The collected data are used to place wireless access points to maximize coverage with a minimum number of access points. A novel approach is used to navigate multiple robots using grid based maps which is a key issue in mobile robot utilization. Using grid based maps and range-finders to acquire surrounding information and match with a pre-populated information, robot locations are correctly identified. This resolved the problem of weak or no GPS signal in an indoor environment for position determination. The data acquisition strategy is studied without requiring a central source of timing and synchronization f or multiple robots. This is done using script-based robot command execution with exchange of request and response control messages. Lastly, numerical analysis of effects of navigation and data errors and their tolerances for proper interpretation of the collected data is presented.
{"title":"Utilization of multiple mobile robots for map based RF access-point placement","authors":"Doug Kim","doi":"10.1109/LISAT.2015.7160215","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160215","url":null,"abstract":"This paper presents a way of collecting indoor RF propagation loss data utilizing multiple mobile robots collaborating through double-layered networks. The collected data are used to place wireless access points to maximize coverage with a minimum number of access points. A novel approach is used to navigate multiple robots using grid based maps which is a key issue in mobile robot utilization. Using grid based maps and range-finders to acquire surrounding information and match with a pre-populated information, robot locations are correctly identified. This resolved the problem of weak or no GPS signal in an indoor environment for position determination. The data acquisition strategy is studied without requiring a central source of timing and synchronization f or multiple robots. This is done using script-based robot command execution with exchange of request and response control messages. Lastly, numerical analysis of effects of navigation and data errors and their tolerances for proper interpretation of the collected data is presented.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124165916","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 : 2015-05-01DOI: 10.1109/LISAT.2015.7160196
M. Alotaibi, A. Mahmood
Gait recognition is a biometric method used to recognize humans based on the style of their walk. In the last few years, wide varieties of gait recognition approaches have been proposed, and significant improvements have been made. Unlike other biometric methods, such as face and body recognition, gait recognition requires dealing with a large number of video frames. As a result, most of the successful gait recognition algorithms are computationally expensive and not applicable for real-time surveillance applications. This paper focuses on developing a framework for automatic gait recognition, and proposes a novel algorithm to create a 2D spatiotemporal gait template that is reliable for person recognition in real-time surveillance applications. A neural network is used for classification where the input is the spatiotemporal gait template. The complete gait recognition framework developed in this paper involves automatic detection and segmentation of the human body, alignment and registration, feature extraction, and classification.
{"title":"Automatic real time gait recognition based on spatiotemporal templates","authors":"M. Alotaibi, A. Mahmood","doi":"10.1109/LISAT.2015.7160196","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160196","url":null,"abstract":"Gait recognition is a biometric method used to recognize humans based on the style of their walk. In the last few years, wide varieties of gait recognition approaches have been proposed, and significant improvements have been made. Unlike other biometric methods, such as face and body recognition, gait recognition requires dealing with a large number of video frames. As a result, most of the successful gait recognition algorithms are computationally expensive and not applicable for real-time surveillance applications. This paper focuses on developing a framework for automatic gait recognition, and proposes a novel algorithm to create a 2D spatiotemporal gait template that is reliable for person recognition in real-time surveillance applications. A neural network is used for classification where the input is the spatiotemporal gait template. The complete gait recognition framework developed in this paper involves automatic detection and segmentation of the human body, alignment and registration, feature extraction, and classification.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126253605","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 : 2015-05-01DOI: 10.1109/LISAT.2015.7160187
I. A. Alshalabi, Samir E. Hamada, K. Elleithy
The graph is a significant, considerable, and efficient representation of online courses in the computer based implementation of an educational system. E-learning and M-learning systems are modeled as weighted directed graphs where each node represents a course unit. The learning Path Graph represents and describes the structure of domain knowledge as well as the learning goals and all available learning paths. In this paper we propose an optimal adaptive learning path algorithm using learner information from the learner's profile to improve E-learning and M-learning system in order to provide suitable course content sequence in a dynamic form for each learner.
{"title":"Automated adaptive learning using smart shortest path algorithm for course units","authors":"I. A. Alshalabi, Samir E. Hamada, K. Elleithy","doi":"10.1109/LISAT.2015.7160187","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160187","url":null,"abstract":"The graph is a significant, considerable, and efficient representation of online courses in the computer based implementation of an educational system. E-learning and M-learning systems are modeled as weighted directed graphs where each node represents a course unit. The learning Path Graph represents and describes the structure of domain knowledge as well as the learning goals and all available learning paths. In this paper we propose an optimal adaptive learning path algorithm using learner information from the learner's profile to improve E-learning and M-learning system in order to provide suitable course content sequence in a dynamic form for each learner.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128221591","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 : 2015-05-01DOI: 10.1109/LISAT.2015.7160208
Aziz Alotaibi, Ausif Mahmmod
Controlling secure access to web Application Programming Interfaces (APIs) and web services has become more vital with advancement and use of the web technologies. The security of web services APIs is encountering critical issues in managing authenticated and authorized identities of users. Open Authorization (OAuth) is a secure protocol that allows the resource owner to grant permission to a third-party application in order to access the resource owner's protected resource on their behalf, without releasing their credentials. Most web APIs are still using the traditional authentication which is vulnerable to many attacks such as man-in-the middle attack. To reduce such vulnerability, we enhance the security of OAuth through the implementation of a biometric service. We introduce a face verification system based on Local Binary Patterns as an authentication service handled by the authorization server. The entire authentication process consists of three services: Image registration service, verification service, and access token service. The developed system is most useful in securing those services where a human identification is required.
{"title":"Enhancing OAuth services security by an authentication service with face recognition","authors":"Aziz Alotaibi, Ausif Mahmmod","doi":"10.1109/LISAT.2015.7160208","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160208","url":null,"abstract":"Controlling secure access to web Application Programming Interfaces (APIs) and web services has become more vital with advancement and use of the web technologies. The security of web services APIs is encountering critical issues in managing authenticated and authorized identities of users. Open Authorization (OAuth) is a secure protocol that allows the resource owner to grant permission to a third-party application in order to access the resource owner's protected resource on their behalf, without releasing their credentials. Most web APIs are still using the traditional authentication which is vulnerable to many attacks such as man-in-the middle attack. To reduce such vulnerability, we enhance the security of OAuth through the implementation of a biometric service. We introduce a face verification system based on Local Binary Patterns as an authentication service handled by the authorization server. The entire authentication process consists of three services: Image registration service, verification service, and access token service. The developed system is most useful in securing those services where a human identification is required.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131203017","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 : 2015-05-01DOI: 10.1109/LISAT.2015.7160193
M. Krinker, A. Goykadosh, K. Shahrabi
The paper considers social importance of monitoring Geo Pathogenic Zones, GPZ, which negatively affects humans, plants and machinery. One component of Physics of GPZ is based on the origination of natural alternating fields, which entrain the pace of human organs. Another component is the origination of localized spinning electromagnetic fields, which develop strong non-linear phenomena, negatively affecting a wide class of objects. Instrumentation technology is discussed as well as the results which reveal quantum nature of the GPZ issue.
{"title":"Social importance and physical base of GPZ and dowsing: Instrumentation with perspectives of further development","authors":"M. Krinker, A. Goykadosh, K. Shahrabi","doi":"10.1109/LISAT.2015.7160193","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160193","url":null,"abstract":"The paper considers social importance of monitoring Geo Pathogenic Zones, GPZ, which negatively affects humans, plants and machinery. One component of Physics of GPZ is based on the origination of natural alternating fields, which entrain the pace of human organs. Another component is the origination of localized spinning electromagnetic fields, which develop strong non-linear phenomena, negatively affecting a wide class of objects. Instrumentation technology is discussed as well as the results which reveal quantum nature of the GPZ issue.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114333278","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 : 2015-05-01DOI: 10.1109/LISAT.2015.7160197
Reem Alattas, B. Barkana
Alzheimer's (AD) is the most common form of dementia that negatively affects memory, thinking, behavior, and intellectual abilities in one's daily life. The risk of AD increases with age 65 and older although it may appear in people who are in their 40s or 50s. AD has no current cure. There are many ongoing research studies to understanding and treating this disease better. AD, a slowly progressive brain disease, begins well before clinical symptoms emerge. A diagnosis of AD is usually made by primary care physicians based on patient's medical and family history, psychiatric history, and history of cognitive and behavioral changes. Magnetic resonance imaging (MRI) is the most common imaging modality to use to identify brain changes. In this study, MRI scans of 10 individuals without AD and 10 individuals with AD are compared and analyzed based on brain volume. Measurements included the occipital lobe and hippocampal.
{"title":"A comparative study of brain volume changes in Alzheimer's disease using MRI scans","authors":"Reem Alattas, B. Barkana","doi":"10.1109/LISAT.2015.7160197","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160197","url":null,"abstract":"Alzheimer's (AD) is the most common form of dementia that negatively affects memory, thinking, behavior, and intellectual abilities in one's daily life. The risk of AD increases with age 65 and older although it may appear in people who are in their 40s or 50s. AD has no current cure. There are many ongoing research studies to understanding and treating this disease better. AD, a slowly progressive brain disease, begins well before clinical symptoms emerge. A diagnosis of AD is usually made by primary care physicians based on patient's medical and family history, psychiatric history, and history of cognitive and behavioral changes. Magnetic resonance imaging (MRI) is the most common imaging modality to use to identify brain changes. In this study, MRI scans of 10 individuals without AD and 10 individuals with AD are compared and analyzed based on brain volume. Measurements included the occipital lobe and hippocampal.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129057197","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 : 2015-05-01DOI: 10.1109/LISAT.2015.7160218
Laura Sookhai, J. Coppola, Chris Gaur
As resilient as the human body may appear to be, the aging process is inevitable and takes a physical toll on all bodies, but getting older does not equate to neglecting healthy habits. If anything, as people age it is more important to be vigilant and lead proactive lifestyles. In an effort to increase health awareness and promote a healthier lifestyle Pace University conducted a 7 week pilot study using activity trackers and Telemedical Bluetooth devices. Most Senior citizens are intimidated and unaccepting when it comes to relying on technology but through the use of activity trackers senior citizens are able to measure their progress towards a healthier lifestyle. With the data gained from the activity trackers students will be able to monitor daily activity and assess whether or not it has encouraged a positive effect on senior vital data. This paper analyzes the impact of activity trackers on senior citizen biometric data including weight, blood pressure and pulse. By tracking the amount of steps the seniors have taken over the 7 week study. We will be able to determine if an increase in physical activity has a positive effect on the vital signs of older adults. Through the use of wireless technology, senior vital sings and step tracking data are synchronized wirelessly once a week by students at Pace University and measured for any significant changes. Prior to distributing activity trackers seniors were administered Pre assessment surveys and Post surveys, after receiving the trackers. Some of the collected data included preexisting health conditions, activity habits, and willingness to try new technology. By assessing the results, this paper explores whether the activity tracker had a significant effect on senior vital signs.
{"title":"Intergenerational activity tracker program: Impact with health related outcomes on older adults","authors":"Laura Sookhai, J. Coppola, Chris Gaur","doi":"10.1109/LISAT.2015.7160218","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160218","url":null,"abstract":"As resilient as the human body may appear to be, the aging process is inevitable and takes a physical toll on all bodies, but getting older does not equate to neglecting healthy habits. If anything, as people age it is more important to be vigilant and lead proactive lifestyles. In an effort to increase health awareness and promote a healthier lifestyle Pace University conducted a 7 week pilot study using activity trackers and Telemedical Bluetooth devices. Most Senior citizens are intimidated and unaccepting when it comes to relying on technology but through the use of activity trackers senior citizens are able to measure their progress towards a healthier lifestyle. With the data gained from the activity trackers students will be able to monitor daily activity and assess whether or not it has encouraged a positive effect on senior vital data. This paper analyzes the impact of activity trackers on senior citizen biometric data including weight, blood pressure and pulse. By tracking the amount of steps the seniors have taken over the 7 week study. We will be able to determine if an increase in physical activity has a positive effect on the vital signs of older adults. Through the use of wireless technology, senior vital sings and step tracking data are synchronized wirelessly once a week by students at Pace University and measured for any significant changes. Prior to distributing activity trackers seniors were administered Pre assessment surveys and Post surveys, after receiving the trackers. Some of the collected data included preexisting health conditions, activity habits, and willingness to try new technology. By assessing the results, this paper explores whether the activity tracker had a significant effect on senior vital signs.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133168712","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：