Wearable Biomedical Sensors for Mobile Health

Dear Colleagues,

The last several years have witnessed major advancements in the development of sensor technologies and wearable devices with the goal of collecting various types of data in many application domains. Based on such technologies, many commercial products have swamped the market and found their way on the wrists, ancles, and belts of many users. Although these developments are certainly welcomed, there is so much left to be accomplished in order to take full advantage of the data gathered by such devices. The most critical missing component is the lack of advanced data analytics. In the case of health monitoring, like many aspects of healthcare, the focus has been primarily on producing devices with data collection capabilities rather than developing advanced models for analyzing the available data.

In this Special Issue of Sensors, we attempt to fill this gap by soliciting papers related to data analytics that connect mobility and heath. We invite papers related to algorithms, tools, and approaches that can be applied to analyze big mobility data and reveal new useful health-related features. We also welcome papers related to how mobility data can be integrated with biological and medical data to obtain accurate signals that can be used to diagnose various health conditions and assess the effectiveness of different medical treatments. We hope the selected articles will pave the way towards a new decision support system that leads to new discoveries in biomedical research and healthcare applications.

Prof. Dr. Hesham H. Ali
Dr. Ka-Chun (Joseph) Siu
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• wearable devices
• mobility data
• mobile health biomedical informatics
• mobility for health