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Technology and Health Care is intended to serve as a forum for the presentation of original articles and technical notes, observing rigorous scientific standards. Furthermore, upon invitation, reviews, tutorials, discussion papers and minisymposia are featured.
The following types of contributions and areas are considered:
1. Original articles:
Technology development in medicine: New concepts, procedures and devices associated with the use of technology in medical research and clinical practice are presented to a readership with a widespread background in engineering and/or medicine.
Significance of medical technology and informatics for healthcare: The appropriateness, efficacy and usefulness deriving from the application of engineering methods, devices and informatics in medicine and with respect to public health are discussed.
2. Technical notes:
Short communications on novel technical developments with relevance for clinical medicine.
3. Reviews and tutorials (upon invitation only):
Tutorial and educational articles for persons with a primarily medical background on principles of engineering with particular significance for biomedical applications and vice versa are presented.
4. Minisymposia (upon invitation only):
Under the leadership of a Special Editor, controversial issues relating to healthcare are highlighted and discussed by various authors.
Abstract: BACKGROUND: An assessment of needs to develop a system that provides consultations using a telepresence robot and education for health professionals was conducted. The absence of a structured methodology for user-needs analysis has been identified as a problem. OBJECTIVE: To use a telepresence robot for medical consultation in future usability testing, the robot has been developed by analyzing end-user needs in a multifaceted manner. METHODS: In designing the telepresence robot for consultation, required functions and forms were defined based on the results of a user-needs survey. The robot was implemented based on specifications of needs.…The prototype robot was developed and after repeated internal tests, the final version was completed. CONCLUSIONS: The present study holds significance as it systemized user needs, applied them to a new medical technology’s components and functions, and provided a technology development process that could improve usability.
Abstract: Body mass index (BMI) is used widely as an indicator in general health. Determination of BMI using non-intrusive measurements are of interest and recent advancements in the availability of digital imaging sensors have paved the way for performing quick and automatic measurements. In this work, we consider automatic computation of BMI using correlation features from face images. We show that using face detection based facial fiducial points analysis provides good BMI prediction. Experimental results on comparing the correlation coefficients of facial ratios along with the colour feature has higher significance in BMI of a person.
Keywords: Body mass index (BMI), facial features, correlation coefficient