Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001822
K. Saleem, A. Derhab, J. Al-Muhtadi
Currently, the eHealthcare information management is the most critical and hot research topic. Especially with the involvement of new and promising telecommunication technologies like Machine to Machine (M2M) Communication. In M2M communication the devices interact and exchange information with each other in an autonomous manner to accomplish the required tasks. Mostly machine communicate to another machine wirelessly. The wireless communication opens the medium for enormous vulnerabilities and make it very easy for hackers to access the confidential information and can perform malicious activities. In this paper, we propose a Machine to Machine (M2M) Low Delay and Secure (LDS) communication system for e-healthcare community based on random distributive key management scheme and modified Kerberos realm to ensure data security. The system is capable to perform the tasks in an autonomous and intelligent manner that minimizes the workload of medical staffs, and improves the quality of patient care as well as the system performance. We show how the different actors in the e-healthcare community can interact with each other in a secure manner. The system handles dynamic assignments of doctors to specific patients. The proposed architecture further provides security against false attack, false triggering and temper attack. Finally, the simulation type implementation is performed on Visual Basic .net 2013 that shows the feasibility of the proposed Low Delay and Secure (LDS) algorithm.
{"title":"Low delay and secure M2M communication mechanism for eHealthcare","authors":"K. Saleem, A. Derhab, J. Al-Muhtadi","doi":"10.1109/HealthCom.2014.7001822","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001822","url":null,"abstract":"Currently, the eHealthcare information management is the most critical and hot research topic. Especially with the involvement of new and promising telecommunication technologies like Machine to Machine (M2M) Communication. In M2M communication the devices interact and exchange information with each other in an autonomous manner to accomplish the required tasks. Mostly machine communicate to another machine wirelessly. The wireless communication opens the medium for enormous vulnerabilities and make it very easy for hackers to access the confidential information and can perform malicious activities. In this paper, we propose a Machine to Machine (M2M) Low Delay and Secure (LDS) communication system for e-healthcare community based on random distributive key management scheme and modified Kerberos realm to ensure data security. The system is capable to perform the tasks in an autonomous and intelligent manner that minimizes the workload of medical staffs, and improves the quality of patient care as well as the system performance. We show how the different actors in the e-healthcare community can interact with each other in a secure manner. The system handles dynamic assignments of doctors to specific patients. The proposed architecture further provides security against false attack, false triggering and temper attack. Finally, the simulation type implementation is performed on Visual Basic .net 2013 that shows the feasibility of the proposed Low Delay and Secure (LDS) algorithm.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123094698","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001873
V. Roesler, Augusto Klinger, Guilherme L. de Lima, Guilherme Longoni
This paper presents a low cost solution for Digital Operating Rooms called MIR (Multimedia Integrated Room). This solution offers a wider variety of useful features compared to other available digital rooms. MIR is capable of all-IP real time transmission and recording of endoscopic procedures using multiple HD cameras, integration with the hospital information system and also can be easily controlled by a wireless mobile device. The developed system main application areas are: a) medical students and/or specialist preceptor to follow the surgical procedure remotely with high quality images; b) the surgical team to better visualize the surgery through the multiple camera views.
{"title":"MIR: A low cost digital operating room","authors":"V. Roesler, Augusto Klinger, Guilherme L. de Lima, Guilherme Longoni","doi":"10.1109/HealthCom.2014.7001873","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001873","url":null,"abstract":"This paper presents a low cost solution for Digital Operating Rooms called MIR (Multimedia Integrated Room). This solution offers a wider variety of useful features compared to other available digital rooms. MIR is capable of all-IP real time transmission and recording of endoscopic procedures using multiple HD cameras, integration with the hospital information system and also can be easily controlled by a wireless mobile device. The developed system main application areas are: a) medical students and/or specialist preceptor to follow the surgical procedure remotely with high quality images; b) the surgical team to better visualize the surgery through the multiple camera views.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133650668","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001859
B. S. Chandra, C. S. Sastry, S. Jana
Can reliable telecardiology be achieved at low bandwidth cost? In response, we propose a detector at the user end so that only beats found to be anomalous are transmitted to a diagnostic center, where all received beats are correctly (re)classified. In this framework, high reliability is achieved by detectors with high sensitivity. Having laid the design framework, we then realize desired high-sensitivity detection using a dictionary learning approach. Specifically, using patient records from the MIT-BIH arrhythmia database, we detect ventricular ectopic beats (VEBs), which are known to be precursors to various serious arrhythmic conditions in the heart. In particular, we achieve a reliability of one undetected VEB in one thousand while saving 78.2% bandwidth using dictionaries with 240 atoms. With larger dictionaries with 420 atoms, we achieve an even higher bandwidth savings of 79.2% while allowing no (less than one in 1766) undetected VEB. Finally, we compare our results with performances a large set of reported heartbeat classifiers, and demonstrate the suitability of our approach in the context of telecardiology.
{"title":"Reliable low-cost telecardiology: High-sensitivity detection of ventricular beats using dictionaries","authors":"B. S. Chandra, C. S. Sastry, S. Jana","doi":"10.1109/HealthCom.2014.7001859","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001859","url":null,"abstract":"Can reliable telecardiology be achieved at low bandwidth cost? In response, we propose a detector at the user end so that only beats found to be anomalous are transmitted to a diagnostic center, where all received beats are correctly (re)classified. In this framework, high reliability is achieved by detectors with high sensitivity. Having laid the design framework, we then realize desired high-sensitivity detection using a dictionary learning approach. Specifically, using patient records from the MIT-BIH arrhythmia database, we detect ventricular ectopic beats (VEBs), which are known to be precursors to various serious arrhythmic conditions in the heart. In particular, we achieve a reliability of one undetected VEB in one thousand while saving 78.2% bandwidth using dictionaries with 240 atoms. With larger dictionaries with 420 atoms, we achieve an even higher bandwidth savings of 79.2% while allowing no (less than one in 1766) undetected VEB. Finally, we compare our results with performances a large set of reported heartbeat classifiers, and demonstrate the suitability of our approach in the context of telecardiology.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130207036","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001838
Benjamin Bockstege, A. Striegel
The rise in motion-based gaming peripherals has afforded intriguing opportunities for low-cost instrumentation of health-oriented activities. One particular activity, that of physical therapy, is of considerable interest as traditional systems in the area cost on the order of tens of thousands of dollars. However, while recent research has shown that gaming peripherals can deliver high quality instrumentation, non-expert programmers face considerable challenges in delivering robust and accurate instrumentation outside of the lab environment. Furthermore, when one considers how to fuse data across multiple peripherals, the heterogeneity of peripheral performance significantly complicates recording useful data. To that end, this paper seeks to describe our approach for delivering a robust, accurate, and scalable framework for motion-based gaming peripherals, specifically targeted at physical therapy in the clinical and research settings. We describe the principles of our framework and composition of data flow through a variety of illustrative examples. Finally, we conclude with several experimental setups designed to demonstrate the efficacy of the framework drawn directly from our experience in live clinical settings.
{"title":"A management system for motion-based gaming peripherals for physical therapy instrumentation","authors":"Benjamin Bockstege, A. Striegel","doi":"10.1109/HealthCom.2014.7001838","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001838","url":null,"abstract":"The rise in motion-based gaming peripherals has afforded intriguing opportunities for low-cost instrumentation of health-oriented activities. One particular activity, that of physical therapy, is of considerable interest as traditional systems in the area cost on the order of tens of thousands of dollars. However, while recent research has shown that gaming peripherals can deliver high quality instrumentation, non-expert programmers face considerable challenges in delivering robust and accurate instrumentation outside of the lab environment. Furthermore, when one considers how to fuse data across multiple peripherals, the heterogeneity of peripheral performance significantly complicates recording useful data. To that end, this paper seeks to describe our approach for delivering a robust, accurate, and scalable framework for motion-based gaming peripherals, specifically targeted at physical therapy in the clinical and research settings. We describe the principles of our framework and composition of data flow through a variety of illustrative examples. Finally, we conclude with several experimental setups designed to demonstrate the efficacy of the framework drawn directly from our experience in live clinical settings.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131158325","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001847
Osman Salem, Yacine Rebhi, Abdelkrim Boumaza, A. Mehaoua
The aim of this paper is to provide a lightweight approach for early detection of nocturnal epileptic seizures using data from wireless 3-D accelerometer sensors. We use the exponentially weighted moving average algorithm to forecast the current value of the accelerometer measurement, and when the difference between measured and forecasted values is greater than the dynamic threshold on any axis, a notification is transmitted to the base station, which maintains a sliding window of received notifications. When the filling ratio is greater than a predefined threshold, an alarm is triggered by the base station. The proposed approach is intended to improve the performance of existing mobile health detection systems based on the analysis of electroencephalogram (EEG). To reduce their false alarm rate, we seek to correlate detection results from 3-D accelerometer with other physiological parameters through a majority voting. Our experimental results on real dataset collected from the epileptic patient show that our proposed approach is robust against temporal fluctuations and achieves a high level of detection accuracy, which in turn proves the effectiveness of this approach in enhancing the reliability of existing detection approaches based on EEG signal analysis.
{"title":"Detection of nocturnal epileptic seizures using wireless 3-D accelerometer sensors","authors":"Osman Salem, Yacine Rebhi, Abdelkrim Boumaza, A. Mehaoua","doi":"10.1109/HealthCom.2014.7001847","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001847","url":null,"abstract":"The aim of this paper is to provide a lightweight approach for early detection of nocturnal epileptic seizures using data from wireless 3-D accelerometer sensors. We use the exponentially weighted moving average algorithm to forecast the current value of the accelerometer measurement, and when the difference between measured and forecasted values is greater than the dynamic threshold on any axis, a notification is transmitted to the base station, which maintains a sliding window of received notifications. When the filling ratio is greater than a predefined threshold, an alarm is triggered by the base station. The proposed approach is intended to improve the performance of existing mobile health detection systems based on the analysis of electroencephalogram (EEG). To reduce their false alarm rate, we seek to correlate detection results from 3-D accelerometer with other physiological parameters through a majority voting. Our experimental results on real dataset collected from the epileptic patient show that our proposed approach is robust against temporal fluctuations and achieves a high level of detection accuracy, which in turn proves the effectiveness of this approach in enhancing the reliability of existing detection approaches based on EEG signal analysis.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132177498","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001825
S. Hara, Takunori Shimazaki
We, proposers, are a professor and a Ph.D. student of the Graduate School of Engineering, Osaka City University, Osaka, Japan. In a two-year project financially supported by the Ministry of Internal Affairs and Communications (MIC) of Japan, we have developed a real-time vital signs monitoring system for men during exercise. Our (proposers) expertise is wireless communication and signal processing, and furthermore an academic researcher (MD, Ph.D.) in medicine, an academic researcher (Ph.D.) in sports physiology, and several industrial researchers (Ph.D.) in engineering have been involved in the project. The purpose of the system is not only medical and healthcare management (injury and disease prevention) but also effective sport training based on scientific data for ordinal people and athletes.
我们，提议者，是日本大阪大阪市大学工程研究生院的教授和博士生。在日本总务省(Ministry of Internal Affairs and Communications, MIC)资助的一个为期两年的项目中，我们开发了一种用于男性运动过程中的实时生命体征监测系统。我们(提案人)的专长是无线通信和信号处理，此外，一位医学学术研究员(MD, Ph.D.)，一位运动生理学学术研究员(Ph.D.)和几位工程工业研究人员(Ph.D.)都参与了这个项目。该系统的目的不仅是医疗保健管理(损伤和疾病预防)，而且是基于科学数据的普通民众和运动员有效的运动训练。
{"title":"Demonstration on a real-time vital signs monitoring system for men during exercise","authors":"S. Hara, Takunori Shimazaki","doi":"10.1109/HealthCom.2014.7001825","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001825","url":null,"abstract":"We, proposers, are a professor and a Ph.D. student of the Graduate School of Engineering, Osaka City University, Osaka, Japan. In a two-year project financially supported by the Ministry of Internal Affairs and Communications (MIC) of Japan, we have developed a real-time vital signs monitoring system for men during exercise. Our (proposers) expertise is wireless communication and signal processing, and furthermore an academic researcher (MD, Ph.D.) in medicine, an academic researcher (Ph.D.) in sports physiology, and several industrial researchers (Ph.D.) in engineering have been involved in the project. The purpose of the system is not only medical and healthcare management (injury and disease prevention) but also effective sport training based on scientific data for ordinal people and athletes.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123250576","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001866
C. Rondinoni, V. Souza, R. Matsuda, A. Peres, M. Santos, O. B. Filho, A. C. Santos, H. Machado, P. Noritomi, Jorge Silva
This study is the first step in an effort to develop three-dimensional (3D) printing for use in pediatric surgical planning. In order to accomplish this, we established an effective collaboration between Ribeirao Preto Clinics Hospital (HCRP) and Renato Archer Center for Information Technology (CTI). Printed biomodels can be used to support discussions, decision-making, and neuronavigation before surgery. The main purpose of 3D printing for specific case handling is to reduce damage by enhancing knowledge of orientation during surgical planning and personnel training before surgery. Here, we produced an object that represented the brain and face segment of a patient via additive manufacturing technology based on magnetic resonance imaging (MRI) data. Specific landmarks were measured by three distinct methods: manual caliper, an InVesalius software measurement tool, and neuronavigation coordinate detection. The mean coefficient of variation was 7.17% between all methods and landmarks measured. Our results validate the combined use of biomodels with InVesalius software tools for the assessment of individual brain anatomy facilitating manual handling and visualization of 3D models. The establishment of communication protocols between the teams involved, as well as navigation protocols for quality control, presents the possibility of developing long term training programs, and promotes the congregation of individuals from research areas in Medical Physics, Medical Sciences, and Neuroscience.
{"title":"Inter-institutional protocol describing the use of three-dimensional printing for surgical planning in a patient with childhood epilepsy: From 3D modeling to neuronavigation","authors":"C. Rondinoni, V. Souza, R. Matsuda, A. Peres, M. Santos, O. B. Filho, A. C. Santos, H. Machado, P. Noritomi, Jorge Silva","doi":"10.1109/HealthCom.2014.7001866","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001866","url":null,"abstract":"This study is the first step in an effort to develop three-dimensional (3D) printing for use in pediatric surgical planning. In order to accomplish this, we established an effective collaboration between Ribeirao Preto Clinics Hospital (HCRP) and Renato Archer Center for Information Technology (CTI). Printed biomodels can be used to support discussions, decision-making, and neuronavigation before surgery. The main purpose of 3D printing for specific case handling is to reduce damage by enhancing knowledge of orientation during surgical planning and personnel training before surgery. Here, we produced an object that represented the brain and face segment of a patient via additive manufacturing technology based on magnetic resonance imaging (MRI) data. Specific landmarks were measured by three distinct methods: manual caliper, an InVesalius software measurement tool, and neuronavigation coordinate detection. The mean coefficient of variation was 7.17% between all methods and landmarks measured. Our results validate the combined use of biomodels with InVesalius software tools for the assessment of individual brain anatomy facilitating manual handling and visualization of 3D models. The establishment of communication protocols between the teams involved, as well as navigation protocols for quality control, presents the possibility of developing long term training programs, and promotes the congregation of individuals from research areas in Medical Physics, Medical Sciences, and Neuroscience.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127430968","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001899
Irshad Faiz, H. Mukhtar, Sharifullah Khan
Diabetes is among one of the fastest growing disease all over the world. Controlled diet and proper exercise are considered as a treatment to control diabetes. However, food and exercise suggestions in existing solutions do not consider integrated knowledge from personal profile, preferences, current vital signs, diabetes domain, food domain and exercise domain. Furthermore, there is a strong correlation of diet and exercise. We have implemented an ontology based integrated approach to combine knowledge from various domains to generate diet and exercise suggestions for diabetics. The solution is developed as a Semantic Healthcare Assistant for Diet and Exercise (SHADE). For each domain (person, diabetes, food and exercise) we have defined separate ontology along with rules and then an integrated ontology combines these individual ontologies. Finally, diet recommendations are presented in the form of various alternative menus such that each menu is a healthy and balanced diet.
{"title":"An integrated approach of diet and exercise recommendations for diabetes patients","authors":"Irshad Faiz, H. Mukhtar, Sharifullah Khan","doi":"10.1109/HealthCom.2014.7001899","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001899","url":null,"abstract":"Diabetes is among one of the fastest growing disease all over the world. Controlled diet and proper exercise are considered as a treatment to control diabetes. However, food and exercise suggestions in existing solutions do not consider integrated knowledge from personal profile, preferences, current vital signs, diabetes domain, food domain and exercise domain. Furthermore, there is a strong correlation of diet and exercise. We have implemented an ontology based integrated approach to combine knowledge from various domains to generate diet and exercise suggestions for diabetics. The solution is developed as a Semantic Healthcare Assistant for Diet and Exercise (SHADE). For each domain (person, diabetes, food and exercise) we have defined separate ontology along with rules and then an integrated ontology combines these individual ontologies. Finally, diet recommendations are presented in the form of various alternative menus such that each menu is a healthy and balanced diet.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114460609","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001850
C. Dusa, P. Rajalakshmi, Suresh Puli, U. Desai, S. Merchant
In commercial ultrasound systems, the transmit module typically generates the time delayed excitation pulses to steer and focus the acoustic beam. However, the ultrasound transmitter module in these systems has limited access to medical ultrasound researchers. In this paper, we have presented the development of a programmable architecture for 8-channel ultrasound transmitter for medical ultrasound research activities. The proposed architecture consists of 8 transmit channels and Field Programmable Gate Array (FPGA) based configurable delay profile to steer acoustic beam, transmit frequency and pulse pattern length depending on the medical application. Our system operates in pulse-echo mode, with ultrasound transmit frequency up to 20 MHz, excitation voltage up to 100 Vpp, and individual channel control with single high speed Serial Peripheral Interface (SPI). Pre-calculated delay profiles per scanline are generated in Matlab, based on physical parameters of 8 element linear transducer array which are used to steer and focus the ultrasound beam. An experiment is carried with our transmit module to transmit ultrasound into gelatin phantom, acquired echoes and processed for B-mode imaging. The results show that this transmit platform can be used for ultrasound imaging researches and also for medical diagnosis.
{"title":"Low complex, programmable FPGA based 8-channel ultrasound transmitter for medical imaging researches","authors":"C. Dusa, P. Rajalakshmi, Suresh Puli, U. Desai, S. Merchant","doi":"10.1109/HealthCom.2014.7001850","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001850","url":null,"abstract":"In commercial ultrasound systems, the transmit module typically generates the time delayed excitation pulses to steer and focus the acoustic beam. However, the ultrasound transmitter module in these systems has limited access to medical ultrasound researchers. In this paper, we have presented the development of a programmable architecture for 8-channel ultrasound transmitter for medical ultrasound research activities. The proposed architecture consists of 8 transmit channels and Field Programmable Gate Array (FPGA) based configurable delay profile to steer acoustic beam, transmit frequency and pulse pattern length depending on the medical application. Our system operates in pulse-echo mode, with ultrasound transmit frequency up to 20 MHz, excitation voltage up to 100 Vpp, and individual channel control with single high speed Serial Peripheral Interface (SPI). Pre-calculated delay profiles per scanline are generated in Matlab, based on physical parameters of 8 element linear transducer array which are used to steer and focus the ultrasound beam. An experiment is carried with our transmit module to transmit ultrasound into gelatin phantom, acquired echoes and processed for B-mode imaging. The results show that this transmit platform can be used for ultrasound imaging researches and also for medical diagnosis.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114610637","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001881
F. Lu, M. Lemonde
We present the results of the third phase in a three part study developing an application to reduce obesity levels in adolescents with a mobile fitness application that encourages youth to engage in fitness activity by providing social networking tools to facilitate motivation. In the first phase, we studied effecting positive attitudinal changes towards fitness. The second phase studied physical improvements with the application in our target group. This third phase tests the efficacy of the socialization tools in our application for motivating both positive attitudinal changes and physical improvements towards fitness. The application contained thirteen distinct exercises that subjects could engage in using sensors on the mobile devices to unbiasedly measure progress. The socialization tools to encourage fitness engagement allowed for such activities as friending, sharing progress and collaboratively exercising with friends either in person or remotely. The study participants were adolescents age 14 to 15 with 20 subjects in an experimental group that used the fitness application and 15 control subjects that did not. The study ran for eight weeks with the results indicating both positive attitude changes towards fitness exercises and body-mass index (BMI) improvements in fitness levels correlated to socialization interests/activities for the subjects using the application, while the control group showed no such correlation of fitness level improvement.
{"title":"Reducing adolescent obesity with a social networking mobile fitness application","authors":"F. Lu, M. Lemonde","doi":"10.1109/HealthCom.2014.7001881","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001881","url":null,"abstract":"We present the results of the third phase in a three part study developing an application to reduce obesity levels in adolescents with a mobile fitness application that encourages youth to engage in fitness activity by providing social networking tools to facilitate motivation. In the first phase, we studied effecting positive attitudinal changes towards fitness. The second phase studied physical improvements with the application in our target group. This third phase tests the efficacy of the socialization tools in our application for motivating both positive attitudinal changes and physical improvements towards fitness. The application contained thirteen distinct exercises that subjects could engage in using sensors on the mobile devices to unbiasedly measure progress. The socialization tools to encourage fitness engagement allowed for such activities as friending, sharing progress and collaboratively exercising with friends either in person or remotely. The study participants were adolescents age 14 to 15 with 20 subjects in an experimental group that used the fitness application and 15 control subjects that did not. The study ran for eight weeks with the results indicating both positive attitude changes towards fitness exercises and body-mass index (BMI) improvements in fitness levels correlated to socialization interests/activities for the subjects using the application, while the control group showed no such correlation of fitness level improvement.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114687137","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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