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2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)最新文献

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Poster Abstract: Automated Detection of the Onset of Ventricular Depolarization in Challenging Clinical ECG Data 摘要:在具有挑战性的临床心电图数据中自动检测心室去极化的开始
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/CHASE48038.2019.00010
Christopher I. Baek, Kanav Saraf, M. Wasko, Xu Zhang, Yi-yong Zheng, P. Borgström, A. Mahajan, W. Kaiser
{"title":"Poster Abstract: Automated Detection of the Onset of Ventricular Depolarization in Challenging Clinical ECG Data","authors":"Christopher I. Baek, Kanav Saraf, M. Wasko, Xu Zhang, Yi-yong Zheng, P. Borgström, A. Mahajan, W. Kaiser","doi":"10.1109/CHASE48038.2019.00010","DOIUrl":"https://doi.org/10.1109/CHASE48038.2019.00010","url":null,"abstract":"This paper presents a novel method for automatically detecting the onset of ventricular depolarization in electrocardiogram (ECG). In order to accommodate highly variable ECG morphologies in potentially noisy ECG signals, a weighted combination of factors that are consistent with the onset of ventricular depolarization is computed. Weight parameters are optimized to maximize the detection accuracy. The proposed method is evaluated against diverse datasets, yielding a bias of 1.69 ms, standard deviation of 10.55 ms, and mean absolute error of 6.68 ms.","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127358201","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: 0
Demo Abstract: MirrorMatch: Real-Time Detection of Repetitive Movements using Smartphone Camera 摘要:MirrorMatch:基于智能手机摄像头的重复动作实时检测
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/CHASE48038.2019.00007
Noah Jennings, Shubham Jain
{"title":"Demo Abstract: MirrorMatch: Real-Time Detection of Repetitive Movements using Smartphone Camera","authors":"Noah Jennings, Shubham Jain","doi":"10.1109/CHASE48038.2019.00007","DOIUrl":"https://doi.org/10.1109/CHASE48038.2019.00007","url":null,"abstract":"MirrorMatch is a motion tracking system that provides real-time movement analysis with the use of a mobile camera. It allows the user to evaluate their own exercises over time and gauge their progress at a lower cost than traditional methods. MirrorMatch is built upon commercial off-the-shelf smartphone cameras and image processing techniques. Unlike existing approaches that use wearable sensors, MirrorMatch offers a cost-effective and scalable solution to make finegrained movement tracking more accessible.","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130107207","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: 1
Poster Abstract: A Novel and Efficient Approach to Evaluate Biometric Features for User Identification 摘要:一种新的、有效的用于用户识别的生物特征评估方法
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/CHASE48038.2019.00016
Namrata Kayastha, Kewei Sha
{"title":"Poster Abstract: A Novel and Efficient Approach to Evaluate Biometric Features for User Identification","authors":"Namrata Kayastha, Kewei Sha","doi":"10.1109/CHASE48038.2019.00016","DOIUrl":"https://doi.org/10.1109/CHASE48038.2019.00016","url":null,"abstract":"Classifications based on biometric features are widely used in modern healthcare applications, including user identification, authentication, and tracking. The complexity and accuracy of classification algorithms largely depend on the size and the quality of the feature set used to build classifiers. Feature evaluation and selection are critical steps to decide a small set of high-quality features to build accurate and efficient classifiers. This paper proposes a novel and efficient approach to evaluate and select biometric features for user identification applications based on activity sensor data collected from the user's wrists. For each feature, we first generate an NRMSD matrix, each entry of which represents the similarity level of any two users. Then, we define a heuristic, the Farness value to evaluate the quality of the feature based on the NRMSD matrix of the feature. Finally, we select a set of high-quality features whose Farness value is higher than 0.10.","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130952542","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: 2
Poster Abstract: Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection 摘要:研究基于融合的深度学习架构用于烟雾检测
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/CHASE48038.2019.00011
Benjamin M Marlin, Meet P. Vadera
{"title":"Poster Abstract: Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection","authors":"Benjamin M Marlin, Meet P. Vadera","doi":"10.1109/CHASE48038.2019.00011","DOIUrl":"https://doi.org/10.1109/CHASE48038.2019.00011","url":null,"abstract":"Supervised deep learning methods have the ability to extract useful features from raw data when a sufficient volume of labeled data is available for training. However, in emerging application areas such as mobile health, the high cost of data collection often precludes collecting large-scale labeled data sets. As a result, machine learning pipelines based on hand-engineered features remain common. In this paper, we investigate architectures for combining hand-engineered features with deep learning-based feature extraction from raw data to enhance prediction performance on small labeled data sets. We use smoking puff detection from wearable sensor data as an example application domain.","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126931578","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: 1
Poster Abstract: Examining Cross-Validation Strategies for Predictive Modeling of Anterior Cruciate Ligament Reinjury 摘要:前交叉韧带再损伤预测模型的交叉验证策略研究
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/CHASE48038.2019.00019
Dae-young Kim, V. Mandalapu, J. Hart, S. Bodkin, Nutta Homdee, J. Lach, Jiaqi Gong
{"title":"Poster Abstract: Examining Cross-Validation Strategies for Predictive Modeling of Anterior Cruciate Ligament Reinjury","authors":"Dae-young Kim, V. Mandalapu, J. Hart, S. Bodkin, Nutta Homdee, J. Lach, Jiaqi Gong","doi":"10.1109/CHASE48038.2019.00019","DOIUrl":"https://doi.org/10.1109/CHASE48038.2019.00019","url":null,"abstract":"The ability to detect subtle changes in movement patterns is the most important step towards early and accurate detection of aberrant movement patterns that lead to Anterior Cruciate Ligament (ACL) reinjury which is a common and costly disease resulting in surgical reconstruction and rehabilitation costs well over $3 billion annually. Various types of commercially available wearable motion sensors have been used to assess gait and mobility characteristics in patients performing activities that resemble the demand for sports and in native sport environments. However, the question of to what extent the sensor data could be used to develop predictive models and aid in treatment decision making that may improve care in patients with an ACL injury. Therefore, this paper explores the influences of cross-validation strategies (e.g., record-wise, subject-wise) in developing machine learning models to predict the attributes of an ACL injury that play a significant role in clinical decision-making process including gender, left and right involved limbs, and comparison between patients and healthy controls. Six machine learning models were developed to examine the influences and experimental results demonstrated the performance of the models varied depending on the cross-validation methods and revealed practical implications for clinical decision-making process regarding ACL injury.","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121327684","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: 2
A Key Management Scheme for Establishing an Encryption-Based Trusted IoT System 一种基于加密的可信物联网系统密钥管理方案
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/CHASE48038.2019.00022
Q. Mamun, Muhammad Rana
{"title":"A Key Management Scheme for Establishing an Encryption-Based Trusted IoT System","authors":"Q. Mamun, Muhammad Rana","doi":"10.1109/CHASE48038.2019.00022","DOIUrl":"https://doi.org/10.1109/CHASE48038.2019.00022","url":null,"abstract":"In IoT environments, where security and safety are paramount, an encryption-based root of trust provides the strongest means to establish and maintain authenticity, integrity, confidentiality, privacy, and availability. Digital certificates issued from a trusted public key infrastructure provide a proven mechanism for this. However the storage and processing demands of traditional encryption keys have driven some to favour lightweight cryptography. In this situation, we propose a lightweight but robust key management scheme with much smaller key sizes, and its operations require significantly less processing, making it appropriate for devices with less storage space, processing power and battery life.","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124856834","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: 1
Poster Abstract: mTEH: A Decision Support System for Tele-Ophthalmology to Improve Eye Health of Wisconsin Population in Community Settings 摘要:mTEH:远程眼科决策支持系统在社区环境下改善威斯康星州人群的眼健康
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/CHASE48038.2019.00018
J. Tumpa, Jay Romant, R. Adib, Dipranjan Das, Sheikh Iqbal Ahamed, Judy E. Kim, Velinka Medic, Al Castro, M. Pacheco, Rebecca Rowland
{"title":"Poster Abstract: mTEH: A Decision Support System for Tele-Ophthalmology to Improve Eye Health of Wisconsin Population in Community Settings","authors":"J. Tumpa, Jay Romant, R. Adib, Dipranjan Das, Sheikh Iqbal Ahamed, Judy E. Kim, Velinka Medic, Al Castro, M. Pacheco, Rebecca Rowland","doi":"10.1109/CHASE48038.2019.00018","DOIUrl":"https://doi.org/10.1109/CHASE48038.2019.00018","url":null,"abstract":"mTEH (mobile Tele-Eye Health), a decision support system for teleophthalmology provides coordination among collaborators to conduct eye-screening events in community settings at southern Wisconsin with a mission to prevent vision loss as well as to educate people about diabetes and eye health. This system allows the collaborators to work in a time-efficient manner from remote locations and to manage data of the eye-screening participants securely.","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129865165","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: 2
Users’ Internet Searches as Proxies for Disease Escalation Trends 用户的互联网搜索作为疾病升级趋势的代理
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/CHASE48038.2019.00026
I. Alsmadi, Rand Obeidat
{"title":"Users’ Internet Searches as Proxies for Disease Escalation Trends","authors":"I. Alsmadi, Rand Obeidat","doi":"10.1109/CHASE48038.2019.00026","DOIUrl":"https://doi.org/10.1109/CHASE48038.2019.00026","url":null,"abstract":"Viral Hepatitis diseases are of the most infectious diseases in the world with 10s of millions. Over half the world’s population is exposed to the different hepatotropic viruses 1. In this research we studied the ability of Internet based search and keywords’ surveillance to correlate with infectious diseases escalation. With focus on USA, we collected data from CDC on Hepatitis diseases for several years and built a dataset of Internet search terms that can correlate with the volumes of reported cases of those diseases. We presented the final product as “best set of keywords” that can be used to predict future possible breakouts in Hepatitis. Linear regressions and decision trees were used to test the level of accuracy for the prediction based on Hepatitis search keywords","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132690721","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: 0
Health Monitoring in Smart Homes Utilizing Internet of Things 利用物联网的智能家居健康监测
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/CHASE48038.2019.00020
Lauren Linkous, Nasibeh Zohrabi, S. Abdelwahed
{"title":"Health Monitoring in Smart Homes Utilizing Internet of Things","authors":"Lauren Linkous, Nasibeh Zohrabi, S. Abdelwahed","doi":"10.1109/CHASE48038.2019.00020","DOIUrl":"https://doi.org/10.1109/CHASE48038.2019.00020","url":null,"abstract":"In recent years the concept of the Internet of Things (IoT) has evolved to connect commercial gadgets together with the medical field to facilitate an unprecedented range of accessibility. The development of medical devices connected to internet of things has been praised for the potential of alleviating the strain on the modern healthcare system by giving users the opportunity to reside in the home during treatment or recovery. With the IoT becoming more prevalent and available at a commercial level, there exists room for integration into emerging, intelligent environments such as smart homes. When used in tandem with conventional healthcare, the IoT offers a vast range of custom-tailored treatment options. This paper studies recent state-of-the-art research on the field of IoT for health monitoring and smart homes, examines several potential use-cases of blending the technology, and proposes integration with an existing smart home testbed for further study. Challenges of adoption and future research on the topic are also discussed.","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"23 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134392308","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: 12
Demo Abstract: LiftRight: Quantifying Training Performance using a Wearable Sensor 摘要:LiftRight:使用可穿戴传感器量化训练绩效
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/CHASE48038.2019.00006
Slobodan Milanko, Shubham Jain
{"title":"Demo Abstract: LiftRight: Quantifying Training Performance using a Wearable Sensor","authors":"Slobodan Milanko, Shubham Jain","doi":"10.1109/CHASE48038.2019.00006","DOIUrl":"https://doi.org/10.1109/CHASE48038.2019.00006","url":null,"abstract":"There are many reasons why exercise is important, ranging from improvements in physical and psychological wellness to disease management. Fitness trackers today focus on very basic aspects of monitoring exercise, such as tracking the heart-rate and counting steps. Very few monitoring tools exist, especially in the realm of weight training. This demo presents LiftRight, an approach in monitoring strength training sessions to capture performance metrics and form analysis.","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122807019","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: 4
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