...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies最新文献

Remote Rehabilitation: A Field-Based Feasibility Study of an mHealth Resistance Exercise Band. 远程康复:基于现场的移动健康阻力运动带的可行性研究。

...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies Pub Date : 2020-12-01 Epub Date: 2021-01-21

Curtis L Petersen, Colin M Minor, Suehayla Mohieldin, Linda G Park, Ryan J Halter, John A Batsis

{"title":"Remote Rehabilitation: A Field-Based Feasibility Study of an mHealth Resistance Exercise Band.","authors":"Curtis L Petersen, Colin M Minor, Suehayla Mohieldin, Linda G Park, Ryan J Halter, John A Batsis","doi":"","DOIUrl":"","url":null,"abstract":"Sarcopenia is the age-related loss of muscle mass and strength that is associated with adverse health outcomes. Resistance-based exercises are effective for mitigation and enhancement of strength; however, adherence is low and challenging to measure when patients are at home. In a single-arm, pilot study of seven older adults, we conducted a field-based usability study evaluating the feasibility and acceptability of using a system consisting of a Bluetooth-connected resistance exercise band and tablet-based app which together we call BandPass in completing four different home-based exercises. The system measured a total of 147 exercises by participants with a mean duration of 94±66 seconds, completing an average of 30±20 repetitions. Though not all patients completed each exercise type, patients were positive about use: patient activation measure: 80.7±14; system usability scale: 6.9±2.9; and confidence in use: 7.7±2.7. The BandPass system demonstrated its ability to collect data on exercise type, force during an exercise, and duration of exercise when older adults use it for monitoring exercise at home.","PeriodicalId":91991,"journal":{"name":"...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies","volume":"2020 ","pages":"5-6"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234905/pdf/nihms-1711281.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39036765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wireless Sensor-Dependent Ecological Momentary Assessment for Pediatric Asthma mHealth Applications. 用于小儿哮喘移动医疗应用的无线传感器依赖性生态瞬间评估。

...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies Pub Date : 2017-07-01 Epub Date: 2017-08-17 DOI: 10.1109/CHASE.2017.72

Chris M Buonocore, Rosemary A Rocchio, Alfonso Roman, Christine E King, Majid Sarrafzadeh

{"title":"Wireless Sensor-Dependent Ecological Momentary Assessment for Pediatric Asthma mHealth Applications.","authors":"Chris M Buonocore, Rosemary A Rocchio, Alfonso Roman, Christine E King, Majid Sarrafzadeh","doi":"10.1109/CHASE.2017.72","DOIUrl":"10.1109/CHASE.2017.72","url":null,"abstract":"Pediatric asthma is a prevalent chronic disease condition that can benefit from wireless health systems through constant symptom management. In this paper, we propose a smart watch based wireless health system that incorporates wireless sensing and ecological momentary assessment (EMA) to determine an individual's asthma symptoms. Since asthma is a multifaceted disease, this approach provides individualized symptom assessments through various physiological and environmental wireless sensor based EMA triggers specific to common asthma exacerbations. Furthermore, the approach described here improves compliance to use of the system through insightful EMA scheduling related to sensor detected environmental and physiological changes, as well as the patient's own schedule. After testing under several real world conditions, it was found that the system is sensitive to both physiological and environmental conditions that would cause asthma symptoms. Furthermore, the EMA questionnaires that were triggered based on these changes were specific to the asthma trigger itself, allowing for invaluable context behind the data to be collected.","PeriodicalId":91991,"journal":{"name":"...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies","volume":"2017 ","pages":"137-146"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5808559/pdf/nihms937634.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35832424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DAVE: Detecting Agitated Vocal Events. 迪夫:侦测激动的声音事件。

...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies Pub Date : 2017-07-01 Epub Date: 2017-08-17 DOI: 10.1109/CHASE.2017.47

Asif Salekin, Hongning Wang, Kristine Williams, John Stankovic

{"title":"DAVE: Detecting Agitated Vocal Events.","authors":"Asif Salekin, Hongning Wang, Kristine Williams, John Stankovic","doi":"10.1109/CHASE.2017.47","DOIUrl":"https://doi.org/10.1109/CHASE.2017.47","url":null,"abstract":"DAVE is a comprehensive set of event detection techniques to monitor and detect 5 important verbal agitations: asking for help, verbal sexual advances, questions, cursing, and talking with repetitive sentences. The novelty of DAVE includes combining acoustic signal processing with three different text mining paradigms to detect verbal events (asking for help, verbal sexual advances, and questions) which need both lexical content and acoustic variations to produce accurate results. To detect cursing and talking with repetitive sentences we extend word sense disambiguation and sequential pattern mining algorithms. The solutions have applicability to monitoring dementia patients, for online video sharing applications, human computer interaction (HCI) systems, home safety, and other health care applications. A comprehensive performance evaluation across multiple domains includes audio clips collected from 34 real dementia patients, audio data from controlled environments, movies and Youtube clips, online data repositories, and healthy residents in real homes. The results show significant improvement over baselines and high accuracy for all 5 vocal events.","PeriodicalId":91991,"journal":{"name":"...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies","volume":"2017 ","pages":"157-166"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CHASE.2017.47","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35687491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiple- vs Non- or Single-Imputation based Fuzzy Clustering for Incomplete Longitudinal Behavioral Intervention Data. 基于模糊聚类的不完整纵向行为干预数据的多重运算与非或单一运算。

...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies Pub Date : 2016-06-01 Epub Date: 2016-08-18 DOI: 10.1109/CHASE.2016.19

Zhaoyang Zhang, Hua Fang

{"title":"Multiple- vs Non- or Single-Imputation based Fuzzy Clustering for Incomplete Longitudinal Behavioral Intervention Data.","authors":"Zhaoyang Zhang, Hua Fang","doi":"10.1109/CHASE.2016.19","DOIUrl":"10.1109/CHASE.2016.19","url":null,"abstract":"Disentangling patients' behavioral variations is a critical step for better understanding an intervention's effects on individual outcomes. Missing data commonly exist in longitudinal behavioral intervention studies. Multiple imputation (MI) has been well studied for missing data analyses in the statistical field, however, has not yet been scrutinized for clustering or unsupervised learning, which are important techniques for explaining the heterogeneity of treatment effects. Built upon previous work on MI fuzzy clustering, this paper theoretically, empirically and numerically demonstrate how MI-based approach can reduce the uncertainty of clustering accuracy in comparison to non-and single-imputation based clustering approach. This paper advances our understanding of the utility and strength of multiple-imputation (MI) based fuzzy clustering approach to processing incomplete longitudinal behavioral intervention data.","PeriodicalId":91991,"journal":{"name":"...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies","volume":"2016 ","pages":"219-228"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635859/pdf/nihms798450.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35452519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0