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Wireless Sensor-Dependent Ecological Momentary Assessment for Pediatric Asthma mHealth Applications

Chris M. Buonocore, Rosemary A. Rocchio, Alfonso Roman, Christine E. King, Majid Sarrafzadeh
2017 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)  
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  ...  Acknowledgments This work was supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) Los Angeles Pediatric Research using Integrated Sensor Monitoring Systems (PRISMS) Center  ... 
doi:10.1109/chase.2017.72 pmid:29445779 pmcid:PMC5808559 dblp:conf/chase/BuonocoreRRKS17 fatcat:w3g53fdpdjfplkueds2qbv5dgu

Design and rationale of the STRIVE trial to improve cardiometabolic health among children and families

Nicolas M. Oreskovic, Richard Fletcher, Mona Sharifi, John D. Knutsen, Ani Chilingirian, Elsie M. Taveras
2016 Contemporary Clinical Trials  
Sugar sweetened beverage consumption will be assessed by selfreport via a smartphone application. Weight will be collected using a wireless scale.  ...  Conclusion- The STRIVE trial will test the use of mHealth and closed-loop feedback systems to improve health behaviors among families at-risk for or with established CMRD.  ...  Duggan for his outstanding research assistance on this study. This trial is sponsored by the Agency for Healthcare Research and Quality grant # 1R21HS024001 (PI, Oreskovic). Dr.  ... 
doi:10.1016/j.cct.2016.07.012 pmid:27417980 pmcid:PMC4969164 fatcat:6qvfxkjgvvfjtjohtiabixrnyi

E-Health Practices and Technologies: A Systematic Review from 2014 to 2019

Maria Helena da Fonseca, Fanny Kovaleski, Claudia Tania Picinin, Bruno Pedroso, Priscila Rubbo
2021 Healthcare  
Some of the key results were the identification of the four most common practices used (mhealth or mobile health; telehealth or telemedicine; technology; and others) and the most widely used technologies  ...  The SmartCAT: An m-Health platform for ecological momentary intervention in child anxiety treatment Telemedicine and e-Health 1.996 2014 102 152.00 Watkins, I.; Xie, B.  ...  Mhealth; assessment; systems assessment; information; telehealth; monitoring; health literacy.  ... 
doi:10.3390/healthcare9091192 pmid:34574966 fatcat:wgwsxyjmdbbynec3u7iqngoe3e

Health behavior models in the age of mobile interventions: are our theories up to the task?

William T Riley, Daniel E Rivera, Audie A Atienza, Wendy Nilsen, Susannah M Allison, Robin Mermelstein
2011 Translational Behavioral Medicine  
Mobile health behavior intervention development could benefit from greater application of health behavior theories.  ...  Most smoking and weight loss studies reported a theoretical basis for the mobile intervention, but most of the adherence and disease management studies did not.  ...  There is a substantive literature on the use of mobile devices for health behavior assessment (e.g., ecological momentary assessment), and self-monitoring alone has been shown to be an effective health  ... 
doi:10.1007/s13142-011-0021-7 pmid:21796270 pmcid:PMC3142960 fatcat:hzvgjghn4vhtbaictec4nfogfe

Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions [article]

Uichin Lee, Gyuwon Jung, Eunyeol Ma, Jin San Kim, Heepyung Kim, Hyunsoo Lee, Jumabek Alikhanov, Youngtae Noh, Heeyoung Kim
2022 arXiv   pre-print
This review of the key components of data-driven analytics provides novel research directions in the analysis of mobile sensor and interaction datasets, which helps to iteratively improve the receptivity  ...  With the advent of Digital Therapeutics (DTx), the development of software as a medical device (SaMD) for mobile and wearable devices has gained significant attention in recent years.  ...  This definition includes mHealth, which is "the use of mobile wireless technologies for health."  ... 
arXiv:2205.01851v1 fatcat:lbws4t2ea5hejgztfhgiji7qgm

European Obesity Summit (EOS) - Joint Congress of EASOand IFSO-EC, Gothenburg, Sweden, June 1 - 4, 2016: Abstracts

2016 Obesity Facts  
The method requires modifications to improve accuracy in such settings, such as improving its Ecological Momentary Assessment methods.  ...  AS5 -Mobile and wireless technology (mHealth) to combat child and youth obesity: Exploring the scope for prevention and treatment AS5.01 Mobile and wireless technology (mHealth) to combat child and youth  ...  Mean %WL and T2D outcomes were assessed at 2 years post-surgery. Complete remission was defined as HbA1c<6% off all medication for >1 year1.  ... 
doi:10.1159/000446744 pmid:27238363 pmcid:PMC5672850 fatcat:fcs3p4t5hzh4bbvcudqle2sunu

Propensity for emotion rehearsal, body image estimation and metabolic health in Chinese children

F. Ling, A. McManus, G. Knowles, R. Polman
2012 Journal of Science and Medicine in Sport  
Conclusion: This study suggests a protective effect of walking speed even with the use of self-assessment on the changes of mobility among Japanese elderly people.  ...  In addition we applied logistic regression analysis to evaluate the influence of mobility changes (independent variable) on daily physical activity (dependent variable).  ...  A wireless multi-axis sensor unit (9-axis motion sensor: Logical Products) was fixed to the bicycle crank in order to obtain the angular velocity of the bicycle crank.  ... 
doi:10.1016/j.jsams.2012.11.349 fatcat:dk2zsctnyreo5b2vms5dxsehfu