Human Health Engineering
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Human Health Engineering

Dear Colleagues, Thanks to the (r)evolution in sensors and sensing systems (wearable, wireless, micro-/nanoscale), computing power (ubiquitous computing) and algorithms (real-time modelling, neural computing, deep learning, etc.) a lot of (wearable) technology is being developed for monitoring health status of individuals in real-time. The wearable technology developed in the field of Human Health Engineering is not only aimed at patients but also at healthy people. Application areas include, but are not limited to, patient monitoring in hospital settings, (chronically ill) patient home monitoring, depression monitoring, stress monitoring at work, drowsiness monitoring of car drivers, monitoring of physical condition of athletes, activity monitoring of elderly people, etc. In this Special Issue, we invite submissions exploring the development of technology for monitoring the physical or mental status of individuals in a variety of applications. Contributions can focus on sensors, wearable hardware, algorithms, or integrated monitoring systems. Survey papers and reviews are also welcomed. Dr. Jean Marie Aerts Guest Editor

Dear Colleagues,

Thanks to the (r)evolution in sensors and sensing systems (wearable, wireless, micro-/nanoscale), computing power (ubiquitous computing) and algorithms (real-time modelling, neural computing, deep learning, etc.) a lot of (wearable) technology is being developed for monitoring health status of individuals in real-time. The wearable technology developed in the field of Human Health Engineering is not only aimed at patients but also at healthy people. Application areas include, but are not limited to, patient monitoring in hospital settings, (chronically ill) patient home monitoring, depression monitoring, stress monitoring at work, drowsiness monitoring of car drivers, monitoring of physical condition of athletes, activity monitoring of elderly people, etc.

In this Special Issue, we invite submissions exploring the development of technology for monitoring the physical or mental status of individuals in a variety of applications. Contributions can focus on sensors, wearable hardware, algorithms, or integrated monitoring systems. Survey papers and reviews are also welcomed.

Dr. Jean Marie Aerts
Guest Editor

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Appl. Sci. 2018, 8, 1969

Figure 1. Mold for making the spherical phantom.

Figure 2. Mold for making the head-shaped phantom.

Figure 3. Spherical agar phantom (A), and human head-shaped agar phantom (B).

3. Methodology and Experiments

In this study, an EEG cap of 32 standard Ag/AgCl electrodes from BrainProduct (Munich,

Germany) was utilized to record EEG data at 5 kHz sampling rate, and the electrodes were positioned

according to the extended international 10–20 system with FCz as a reference electrode. Additionally,

an electrode was attached beneath the left eye of the subject for electrooculography (EOG) recording.

A BrainAmp MR-plus EEG Amplifier (BrainProducts, Munich, Germany) was placed behind a Philips

Achieva 3T MR scanner (Best, The Netherlands) at the Sir Peter Mansfield Magnetic Imaging Centre

(SPMIC), University of Nottingham, for acquiring the EEG data while the MR scanner was running,

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