Proceedings of the 1st Workshop on Mobile Medical Applications最新文献

Amulet: a secure architecture for mHealth applications for low-power wearable devices 护身符:用于低功耗可穿戴设备的移动健康应用程序的安全架构

Proceedings of the 1st Workshop on Mobile Medical Applications Pub Date : 2014-11-03 DOI: 10.1145/2676431.2676432

Andres Molina-Markham, Ronald A. Peterson, Joseph Skinner, Tianlong Yun, Bhargav Golla, Kevin Freeman, Travis Peters, Jacob M. Sorber, R. Halter, D. Kotz

{"title":"Amulet: a secure architecture for mHealth applications for low-power wearable devices","authors":"Andres Molina-Markham, Ronald A. Peterson, Joseph Skinner, Tianlong Yun, Bhargav Golla, Kevin Freeman, Travis Peters, Jacob M. Sorber, R. Halter, D. Kotz","doi":"10.1145/2676431.2676432","DOIUrl":"https://doi.org/10.1145/2676431.2676432","url":null,"abstract":"Interest in using mobile technologies for health-related applications (mHealth) has increased. However, none of the available mobile platforms provide the essential properties that are needed by these applications. An mHealth platform must be (i) secure; (ii) provide high availability; and (iii) allow for the deployment of multiple third-party mHealth applications that share access to an individual's devices and data. Smartphones may not be able to provide property (ii) because there are activities and situations in which an individual may not be able to carry them (e.g., while in a contact sport). A low-power wearable device can provide higher availability, remaining attached to the user during most activities. Furthermore, some mHealth applications require integrating multiple on-body or near-body devices, some owned by a single individual, but others shared with multiple individuals. In this paper, we propose a secure system architecture for a low-power bracelet that can run multiple applications and manage access to shared resources in a body-area mHealth network. The wearer can install a personalized mix of third-party applications to support the monitoring of multiple medical conditions or wellness goals, with strong security safeguards. Our preliminary implementation and evaluation supports the hypothesis that our approach allows for the implementation of a resource monitor on far less power than would be consumed by a mobile device running Linux or Android. Our preliminary experiments demonstrate that our secure architecture would enable applications to run for several weeks on a small wearable device without recharging.","PeriodicalId":183803,"journal":{"name":"Proceedings of the 1st Workshop on Mobile Medical Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121696760","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}

引用次数: 9

Kinematic-based sedentary and light-intensity activity detection for wearable medical applications 用于可穿戴医疗应用的基于运动学的久坐和轻强度活动检测

Proceedings of the 1st Workshop on Mobile Medical Applications Pub Date : 2014-11-03 DOI: 10.1145/2676431.2676433

Kazi I. Zaman, Sami R. Yli-Piipari, T. Hnat

引用次数: 7

MindLogger: a brain-computer interface for word building using brainwaves MindLogger:一个脑机接口，使用脑电波构建单词

Proceedings of the 1st Workshop on Mobile Medical Applications Pub Date : 2014-11-03 DOI: 10.1145/2676431.2676434

Dina Najeeb, Antonio Grass, Gladys Garcia, Ryan Debbiny, A. Nahapetian

引用次数: 4

RecFit: a context-aware system for recommending physical activities RecFit:一个情境感知系统，用于推荐体育活动

Proceedings of the 1st Workshop on Mobile Medical Applications Pub Date : 2014-11-03 DOI: 10.1145/2676431.2676439

Qian He, E. Agu, D. Strong, B. Tulu

引用次数: 11

Pilot study to evaluate the effectiveness of a mobile-based therapy and educational app for children 评估儿童移动治疗和教育应用程序有效性的试点研究

Proceedings of the 1st Workshop on Mobile Medical Applications Pub Date : 2014-11-03 DOI: 10.1145/2668332.2676437

A. Howard, J. MacCalla

{"title":"Pilot study to evaluate the effectiveness of a mobile-based therapy and educational app for children","authors":"A. Howard, J. MacCalla","doi":"10.1145/2668332.2676437","DOIUrl":"https://doi.org/10.1145/2668332.2676437","url":null,"abstract":"With the new regulations on mobile medical applications (apps), the FDA has classified mobile apps that use games to motivate patients to perform health-related activities at home (such as physical therapy exercises) as a mobile medical application. Due to it posing lower risk to the public though, the FDA will only exercise enforcement discretion. The question is thus posed--when should apps that promote physical therapy at home for children with motor disabilities, apps in which the therapy is part of their overall rehabilitation protocol, transition to regulatory oversight? Of course this transition will not transpire until therapists begin to rely on data extracted from these apps and use this information to revise the therapy protocol for their patients. This leads to the first issue that should be addressing when dealing with the novel nature of mobile-based healthcare applications--validating the effectiveness of these types of apps. As such, in this paper, we present a pilot study to collect empirical evidence on the effect of a mobile-based healthcare application, designed for children, that is focused on improving motor skills. Results from the protocol, which involved eighty-five participants, show that these types of apps may result in a significant change in motor skills learning. Although the study in this paper involved adult participants, the methods proposed could be adapted by special education teachers and therapists to assess the quality of other such applications used by children in various educational and therapy settings.","PeriodicalId":183803,"journal":{"name":"Proceedings of the 1st Workshop on Mobile Medical Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121294938","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}

引用次数: 5

Model based code generation for medical cyber physical systems 基于模型的医疗网络物理系统代码生成

Proceedings of the 1st Workshop on Mobile Medical Applications Pub Date : 2014-11-03 DOI: 10.1145/2676431.2676646

Ayan Banerjee, S. Gupta

{"title":"Model based code generation for medical cyber physical systems","authors":"Ayan Banerjee, S. Gupta","doi":"10.1145/2676431.2676646","DOIUrl":"https://doi.org/10.1145/2676431.2676646","url":null,"abstract":"Deployment of medical devices on human body in unsupervised environment makes their operation safety critical. Software errors such as unbounded memory access or unreachable critical alarms can cause life threatening consequences in these medical cyber-physical systems (MCPSes), where software in medical devices monitor and control human physiology. Further, implementation of complex control strategy in inherently resource constrained medical devices require careful evaluation of runtime characteristics of the software. Such stringent requirements causes errors in manual implementation, which can be only detected by static analysis tools possibly inflicting high cost of redesigning. To avoid such inefficiencies this paper proposes an automatic code generator with assurance on safety from errors such as out-of-bound memory access, unreachable code, and race conditions. The proposed code generator was evaluated against manually written code of a software benchmark for sensors BSNBench in terms of possible optimizations using conditional X propagation. The generated code was found to be 9.3% more optimized than BSNBench code. The generated code was also tested using static analysis tool, Frama-c, and showed no errors.","PeriodicalId":183803,"journal":{"name":"Proceedings of the 1st Workshop on Mobile Medical Applications","volume":"16 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134079131","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}

引用次数: 6

A smartphone-based digital hearing aid to mitigate hearing loss at specific frequencies 一种基于智能手机的数字助听器，可减轻特定频率下的听力损失

Proceedings of the 1st Workshop on Mobile Medical Applications Pub Date : 2014-11-03 DOI: 10.1145/2676431.2676435

Wei Wang, Zhilu Chen, Baoyuan Xing, Xiaochen Huang, S. Han, E. Agu

{"title":"A smartphone-based digital hearing aid to mitigate hearing loss at specific frequencies","authors":"Wei Wang, Zhilu Chen, Baoyuan Xing, Xiaochen Huang, S. Han, E. Agu","doi":"10.1145/2676431.2676435","DOIUrl":"https://doi.org/10.1145/2676431.2676435","url":null,"abstract":"Hearing Loss is one of the three most common chronic conditions among the elderly. In many cases, an individuals hearing is only impaired at certain (not all) frequencies. Analog hearing aids boost all sound frequencies equally including frequencies in which the individuals hearing is good, causing discomfort to the user. Digital hearing aids can amplify only the specific frequencies at which a persons hearing is impaired. In this paper, we describe the design, implementation and evaluation of a smartphone digital hearing aid app. Our digital hearing aid implementation has two parts: speech processing in the frequency domain and sound classification. We used Weighted Over-Lap Add (WOLA) filter bank to decompose microphone sounds into different frequency bands that are then amplified in the frequency domain. Mel-frequency cepstral coefficients (MFCC) of input sounds are computed and used as features for sound classification by the Gaussian Mixture Model (GMM) machine learning model. Our digital hearing aid app amplifies select frequency bands and correctly classifies speech in quiet and noisy environments. The results of a small user evaluation of our prototype are also promising.","PeriodicalId":183803,"journal":{"name":"Proceedings of the 1st Workshop on Mobile Medical Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116014797","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}

引用次数: 5

Proceedings of the 1st Workshop on Mobile Medical Applications 第一届移动医疗应用研讨会论文集

Proceedings of the 1st Workshop on Mobile Medical Applications Pub Date : 1900-01-01 DOI: 10.1145/2676431

引用次数: 0