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  • 1
    Keywords: Biomedical Engineering ; Medical records / Data processing ; Biomedical Engineering/Biotechnology ; Health Informatics ; Health Informatics ; Biomedical Engineering and Bioengineering ; Springer eBooks
    Description / Table of Contents: 1. A literature Review of Social Media-based Data Mining for Health Outcomes Research -- 2. Social Media-Based Health Interventions: Where Are We Now? -- 3. Quantifying and Visualizing the Research Status of Social Media & Health Research Field -- 4. Social Media in Health Communication -- 5. Consumers' Selection of Sources in Searching for Health Information -- 6. Understanding and Bridging the Language and Terminology Gap between Health Professionals and Consumers using Social Media -- 7. Dissemination of Information on Stigmatized Health Issues on Social Media -- 8. Learning Wellness Profiles of Users on Social Networks: The Case of Diabetes -- 9. Social Media and Psychological Disorder -- 10. Content Analysis of the 2015 #SmearForSmear Campaign Using Deep Learning -- 11. How to Improve Public Health via Mining Social Media Platforms: A Case Study of Human Papillomaviruses (HPV) -- 12. Learning Hormonal Therapy Medication Adherence from an Online Breast Cancer Forum -- 13. Ethics in Health Research using Social Media
    Abstract: This book presents state-of-the-art research methods, results, and applications in social media and health research. It aims to help readers better understand the different aspects of using social web platforms in health research. Throughout the chapters, the benefits, limitations, and best practices of using a variety of social web platforms in health research are discussed with concrete use cases. This is an ideal book for biomedical researchers, clinicians, and health consumers (including patients) who are interested in learning how social web platforms impact health and healthcare research
    Pages: XIII, 272 p. 31 illus., 19 illus. in color. : online resource.
    Edition: 1st ed. 2019.
    ISBN: 9783030147143
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  • 2
    Publication Date: 2018-02-14
    Description: Sensors, Vol. 18, Pages 569: Touch Locating and Stretch Sensing Studies of Conductive Hydrogels with Applications to Soft Robots Sensors doi: 10.3390/s18020569 Authors: Yanmin Zhou Bin He Zhe Yan Yinghui Shang Qigang Wang Zhipeng Wang Soft robots possess great potential in environmental adaptations, while their environmental sensing abilities are critical. Conductive hydrogels have been suggested to possess sensing abilities. However, their application in soft robots is lacking. In this work, we fabricated a soft and stretchable gel material, introduced its sensing mechanisms, and developed a measurement setup. Both experimental and simulation studies indicate strong nonlinearity of touch locating on a square touch panel with Cartesian coordinates. To simplify the touch locating, we proposed a touch locating system based on round touch panels with polar coordinates. Mathematical calculations and finite element method (FEM) simulations showed that in this system the locating of a touch point was only determined by its polar radius. This was verified by experimental studies. As a resistor, a gel strip’s resistance increases with stretching. To demonstrate their applications on soft robots, a 3D printed three-fingered soft gripper was employed with gel strips attached. During finger bending for rod grasping, the resistances of the gel strips increased, indicating stretching of the soft material. Furthermore, the strain and stress of a gel strip increased with a decrease of the rod diameter. These studies advance the application of conductive hydrogels on soft robots.
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
    Published by MDPI Publishing
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