{"title":"Demonstration Paper: A Comparative Study of Surgical Skills Assessment in a Physical Laparoscopy Simulator Using Wireless Inertial Sensors","authors":"Robert L. Evans, R. Partridge, D. Arvind","doi":"10.1145/2668883.2669588","DOIUrl":"https://doi.org/10.1145/2668883.2669588","url":null,"abstract":"A novel approach, using wireless inertial sensors (the Orient specks), is presented for the automated assessment of surgical skills in a physical laparoscopic ('keyhole') surgery simulator. Performance metrics are applied to inertial data from subjects categorized by previous laparoscopic experience: novices (less than 2 months); intermediates (less than 2 years) and experts (6 to 10 years of active laparoscopic operating experience). These metrics are shown to distinguish between groups, demonstrating 'construct validity' of the system. The method is evaluated against an optical instrument tracking system and compares favourably, thus demonstrating 'concurrent validity' with an existing method. Our findings suggest that a combination of the proposed metrics can be used to generate a 'technical performance score' for a given laparoscopic simulated task. This has the potential to help guide surgical training and monitoring of surgical performance.","PeriodicalId":185800,"journal":{"name":"Proceedings of the Wireless Health 2014 on National Institutes of Health","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130288525","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}
Xiaofu Ma, Thaddeus Czauski, Taeyoung Yang, Jeffrey H. Reed
{"title":"Demonstration Paper: Wirelessly Sensing Medication Administration: Cyber-Physical Event Detection and Notification Utilizing Multi-Element Chipless RFID","authors":"Xiaofu Ma, Thaddeus Czauski, Taeyoung Yang, Jeffrey H. Reed","doi":"10.1145/2668883.2669589","DOIUrl":"https://doi.org/10.1145/2668883.2669589","url":null,"abstract":"Medication administration is one pathway by which Adverse Drug Events (ADE) can occur. While Electronic Medical Administration Record (eMAR) systems help reduce the number of ADEs, current eMAR implementations suffer from workarounds that defeat safety and verification mechanisms meant to limit the number of potential ADEs that occur during medication administration. In this paper, we introduce Multi-Element ChipLess (MECL) RFID tags which enable real-time event notifications through event signatures. Event signatures correspond to the physical configuration of different RFID elements in a chipless RFID tag. Augmenting physical objects, such as a pill container, with MECL-RFID can allow caregivers to detect the moment a particular pill container is opened or closed. We present the fundamentals behind real-time event detection using MECL-RFID and propose a cyber-physical intervention system that can be used to reduce ADEs through realtime event monitoring and notifications sent to clinicians administering medication. We also present a prototype MECL-RFID to demonstrate potential future improvements to eMAR systems that minimize ADEs.","PeriodicalId":185800,"journal":{"name":"Proceedings of the Wireless Health 2014 on National Institutes of Health","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130718099","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}
James A. J. Heathers, Jessica B. Hoel, S. Wegerif, Benjamin Schwab, N. Ledlie, Kibrewossen Abay, Guush Berhane, J. Hoddinott
{"title":"Smartphone Platform Survey-Scale Heart Rate Collection: a Performance Evaluation in Ethiopia","authors":"James A. J. Heathers, Jessica B. Hoel, S. Wegerif, Benjamin Schwab, N. Ledlie, Kibrewossen Abay, Guush Berhane, J. Hoddinott","doi":"10.1145/2668883.2668967","DOIUrl":"https://doi.org/10.1145/2668883.2668967","url":null,"abstract":"Heart rate variability (HRV), a common method of assessing human autonomic status calculated from the heart beat over time, has traditionally been collected in laboratory based models unsuitable for mass or survey-scale collection. Here, we field-trial a solution for the collection of heart rate data, using a photoplethysmographic sensor via a smartphone platform in a pilot sample (n=679). Internal and test-retest reliability of the data over time is excellent, reproduces expected demographic relationships (age/gender vs. HRV) and compares favorably to existing experimental models. The system is suitable for future work in development economics, to assess cardiac / autonomic health in parallel with survey measures of economic development.","PeriodicalId":185800,"journal":{"name":"Proceedings of the Wireless Health 2014 on National Institutes of Health","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131600368","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}
N. Alshurafa, J. Eastwood, M. Pourhomayoun, Jason J. Liu, Suneil Nyamathi, M. Sarrafzadeh
{"title":"A Framework for Predicting Adherence in Remote Health Monitoring Systems","authors":"N. Alshurafa, J. Eastwood, M. Pourhomayoun, Jason J. Liu, Suneil Nyamathi, M. Sarrafzadeh","doi":"10.1145/2668883.2669586","DOIUrl":"https://doi.org/10.1145/2668883.2669586","url":null,"abstract":"Remote health monitoring (RHM) systems have shown potential effectiveness in disease management and prevention. In several studies RHM systems have been shown to reduce risk factors for cardiovascular disease (CVD) for a subset of the study participants. However, many RHM study participants fail to adhere to the prescribed study protocol or end up dropping from the study prior to its completion. In a recent Women's Heart Health study of 90 individuals in the community, we developed Wanda-CVD, an enhancement to our previous RHM system. Wanda-CVD is a smartphone-based RHM system designed to assist participants to reduce identified CVD risk factors by motivating participants through wireless coaching using feedback and prompts as social support. Many participants adhered to the study protocol, however, many did not completely adhere, and some even dropped prior to study completion. In this paper, we present a framework for analyzing baseline features to predict adherence to prescribed medical protocols that can be applied to other RHM systems. Such a prediction tool can aid study coordinators and clinicians in identifying participants who will need further study support, leading potentially to participants deriving maximal benefit from the RHM system, potentially saving healthcare costs, clinician and participant time and resources. We analyze key contextual features that predict with an accuracy of 85.2% which participants are more likely to adhere to the study protocol. Results from the Women's Heart Health study demonstrate that factors such as perceived health threat of heart disease, and perceived social support are among the factors that aid in predicting patient RHM protocol adherence in a group of African American women ages 25-45.","PeriodicalId":185800,"journal":{"name":"Proceedings of the Wireless Health 2014 on National Institutes of Health","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125659755","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}
{"title":"Vocal-Diary: A Voice Command based Ground Truth Collection System for Activity Recognition","authors":"Enamul Hoque, Robert F. Dickerson, J. Stankovic","doi":"10.1145/2668883.2669587","DOIUrl":"https://doi.org/10.1145/2668883.2669587","url":null,"abstract":"We present Vocal-Diary, a voice command based ground truth collection system that uses grammar based commands from residents to log start and end of activities. Vocal-Diary ensures robustness in the presence of sounds from different environmental noise and day-to-day conversation by using two-way acknowledgement and integrating speaker recognition in the pipeline. Vocal-Diary also utilizes the sensor data produced by the underlying activity recognition system to query residents periodically to check if they forgot to log any activity. Evaluation shows that Vocal-Diary increases precision by at least 40% and recall by at least 10% compared to a system that uses voice command recognition without any acknowledgement and speaker recognition.","PeriodicalId":185800,"journal":{"name":"Proceedings of the Wireless Health 2014 on National Institutes of Health","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124254827","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}
S. Nirjon, I. Emi, M. A. S. Mondol, Asif Salekin, J. Stankovic
{"title":"MOBI-COG: A Mobile Application for Instant Screening of Dementia Using the Mini-Cog Test","authors":"S. Nirjon, I. Emi, M. A. S. Mondol, Asif Salekin, J. Stankovic","doi":"10.1145/2668883.2668889","DOIUrl":"https://doi.org/10.1145/2668883.2668889","url":null,"abstract":"In this paper, we present MOBI-COG which is an application that runs on a mobile device, such as a tablet or a smartphone, and provides an automated and instant dementia screening service. The MOBI-COG App is a complete automation of a widely used 3-minute dementia screening test called the Mini-Cog test, which is administered by primary caregivers for a quick screening of dementia in elderly. Besides asking the patient to remember and then recall a set of three words, the test involves a free-hand clock drawing test. The MOBI-COG App automates all these steps -- including the automatic assessment of the correctness of a clock drawn on the touch screen of a mobile device. We train the MOBI-COG App with over 1000 touch-drawn clocks and show that the system is capable of detecting and recognizing digits in less than 100 ms, in-situ (i.e. without the help of any back-end server), with 99.53% accuracy, and is robust to changes in people, sizes of the drawn digits, and screen sizes of the mobile devices. We perform a usability study of MOBI-COG involving eight healthy human subjects and show that the system is capable of performing all three steps of the test effectively. We also provide a summary of the users' comments on the application.","PeriodicalId":185800,"journal":{"name":"Proceedings of the Wireless Health 2014 on National Institutes of Health","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124445298","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}
{"title":"Proceedings of the Wireless Health 2014 on National Institutes of Health","authors":"W. Nilsen, J. Penders, M. Pavel, A. Raij","doi":"10.1145/2668883","DOIUrl":"https://doi.org/10.1145/2668883","url":null,"abstract":"","PeriodicalId":185800,"journal":{"name":"Proceedings of the Wireless Health 2014 on National Institutes of Health","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130702312","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}
{"title":"Demonstration Paper: Adaptive Ego-Motion Tracking Using Visual-Inertial Sensors for Wearable Blind Navigation","authors":"Hongsheng He, Jindong Tan","doi":"10.1145/2668883.2669590","DOIUrl":"https://doi.org/10.1145/2668883.2669590","url":null,"abstract":"This paper presents an ego-motion tracking method using visual-inertial sensors to assist the visually impaired and blind (VIB) people to travel in unknown dynamic environments. We focus on the ego-motion tracking functionality to inform the wearers of their relative position with respect to the environment. A traveled trajectory is recovered by concatenating the transformation estimated from visual correspondences and instantaneous movements captured by inertial sensors. Therefore, we introduce an adaptive mechanism to judge the reliability of visual tracking by comparing the estimated rotation with the gyroscopic measurement. The measuring frequencies of visual and inertial sensors are different because of different physical sampling rates and the introduced adaptive mechanism. We adopt the multi-rate extended Kalman filter (EKF) to fuse the visual estimation and inertial measurement. In the experiment, we wear the navigation system to follow a path in an indoor environment, and the results show the effectiveness and precision of the proposed methods in ego-motion tracking.","PeriodicalId":185800,"journal":{"name":"Proceedings of the Wireless Health 2014 on National Institutes of Health","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121093193","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}
{"title":"A Pilot Study of an Inspection Framework for Automated Usability Guideline Reviews of Mobile Health Applications","authors":"Jing Xu, Xiang Ding, Ke Huang, Guanling Chen","doi":"10.1145/2668883.2669585","DOIUrl":"https://doi.org/10.1145/2668883.2669585","url":null,"abstract":"Usability is of significant importance for any interactive software. In the mobile domain, applications face more challenges to deliver good experiences to end users due to the characteristics and usage of mobile devices in ubiquitous computing contexts. The situation may be exacerbated for mobile health applications since the target population or domain may impose even stricter usability requirements. Heuristic Evaluation (HE) or guideline review has proven itself to be an effective approach among many usability evaluation methods. Organizing heuristic evaluation by usability professionals, however, can be costly and time consuming, particularly for frequent prototype updates generated by fast iterations. Manual inspection by human experts also suffers from scalability issues as mobile applications often need to run on a diverse set of hardware platforms. To help find potential usability problems at an early stage and reduce the workload of human usability experts, we propose an inspection framework to conduct automated guideline reviews of mobile health applications. The inspection framework is based on the Health Information Management Systems Society (HIMSS) usability guidelines for mHealth applications. First, we translate the high level descriptions of usability guidelines into operationalized metrics that can be measured by software. Second, we demonstrate the translation is meaningful by providing detailed analysis of suggested metrics and real-world case studies. We hope this framework can be used to enforce a minimum bar for the usability of mobile health applications and further adapted when new products in the field are developed.","PeriodicalId":185800,"journal":{"name":"Proceedings of the Wireless Health 2014 on National Institutes of Health","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132071090","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}
Ilyas Uyanik, Ashik Khatri, P. Tsiamyrtzis, Ioannis T. Pavlidis
{"title":"Design and Usage of an Ozone Mapping App","authors":"Ilyas Uyanik, Ashik Khatri, P. Tsiamyrtzis, Ioannis T. Pavlidis","doi":"10.1145/2668883.2668885","DOIUrl":"https://doi.org/10.1145/2668883.2668885","url":null,"abstract":"With the proliferation of environmental sensor networks, real-time, quantitative, and localized pollutant information has become available for a few big cities. Several mobile apps have been developed to bring this information to the user 24/7. In contradistinction to conventional weather reporting systems that provide a qualitative and static description of pollutant levels for an entire metropolitan area, these new apps dynamically relay quantitative pollutant measurements at high spatial resolution. No design methodology has been rationalized for pollutant apps thus far. And, although such apps have potential impact to public health, their actual user base and usage have not been investigated. We have fielded an ozone mapping app for the Houston area. Ozone is a harmful environmental pollutant developing under certain conditions in major metropolitan centers. We use this as a case study to put forward a design philosophy for pollution apps in general. We also analyze the app's user portrait and her/his interaction patterns. The results of our study can inform the development and marketing of similar apps in this burgeoning field.","PeriodicalId":185800,"journal":{"name":"Proceedings of the Wireless Health 2014 on National Institutes of Health","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124594633","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}