Take-Home Messages

• The paper studies the significant impact of multipath wave propagation (surface and diffraction waves) on electromagnetic (EM) sensing systems, which is often overlooked in the design and development of EM sensors.
• System simulations and experimental results with a millimeter (mm)-wave sensor demonstrate the need to suppress these unwanted signals in order to increase EM sensing sensitivity.
• Experimental measurements demonstrate that sensor’s sensitivity to glucose concentrations is almost doubled by suppressing multipath waves with appropriate use of absorbers.
• Our study focuses on sensing glucose changes with mm-waves, but this analysis can be useful for any application in EM biomedical sensing which requires the detection of weak signals propagating through lossy tissues.

Take-Home Messages

• We present a novel radiofrequency radiating system for focused hyperthermic applications with magnetic nanoparticles.
• Safe, efficient and targeted treatments of hyperthermia with magnetic nanoparticles can be achieved through the proposed RF radiating system.
• In particular, the focus of the system is an innovative and effective therapy of superficial tumors, as, for instance, melanoma and breast cancer.
• Although the challenging low frequency range (hundreds of kHz), the system accomplishes a precise and delimited radiofrequency magnetic field distribution, avoiding indiscriminate tissue exposure.
• The synergy between a careful design of the radiating system and research on innovative magnetic nanoparticles can pave the way towards more efficient and safer magnetic hyperthermia treatments in clinical applications.

Take-Home Messages

• This paper proposed a new Affective Virtual Reality System (AVRS), and assessed arousal with Electroencephalography (EEG), Heart Rate (HR), Galvanic Skin Reaction (GSR) and Self-Assessment Manikin (SAM).
• VR emotion materials could deliver a better emotion elicitation effect than 2D video on negative emotional scenes according to an intergroup experiment.
• AVRS was proved as an effective material capable of eliciting emotion for psychological research mental illness diagnosis and virtual reality interaction research.
• This system can be applied to psychological research, mental illness diagnosis and virtual reality interaction research.

Take-Home Messages

• Using an electromagnetic wave sensor, that is, radar, we demonstrated that autonomic nervous system activities and heart rate variability can be measured successfully during sleep in a noncontact manner.
• Our radar-based system measured the heart inter-beat interval with an average error of 25.9 ms and autonomic nervous system index with an average correlation coefficient of 0.93 for reference electrocardiogram (ECG) data, which indicates the sufficient accuracy and reliability of our proposed techniques.
• Our proposed techniques can be applied to healthcare and clinical applications that require long-term and unobtrusive monitoring of a person’s physical and mental health.
• Our proposed techniques are the first to achieve the accurate measurement of an autonomic nervous system index using a radar system, and increased the correlation coefficient with reference ECG data by 1.7 times on average compared with a conventional system.
• Our proposed techniques evaluated the reliability of the heart rate estimated using a radar-based noncontact measurement system, which is indispensable in practice, but has never been achieved by existing techniques.

Take-Home Messages

• This study investigates the potential use of biogenic magnetosomes as a contrast agent for microwave imaging techniques for breast cancer detection.
• We propose a functionalized contrast agent which is capable of decreasing the permittivity and increasing the electrical conductivity of breast tumor tissue based on the concentration of the magnetosome solution.
• In particular, the focus of the system is an innovative and effective therapy of superficial tumors, as, for instance, melanoma and breast cancer.
• The targeted medical application of this study is a potential new contrast agent to be used to improve microwave imaging for breast cancer detection.

Take-Home Messages

• We proposed a hierarchical model to utilize radar as an ‘Enhancer’ to complement with the PSA (Pressure Sensor Array) in improving the static gestures recognition rates, on the contrary, in the dynamic gesture case scenario the PSA acts as an ‘Enhancer’ to boost the radar performance.
• Sequential forward selection (SFS) significantly reduces the computational intensity in terms of less features and improves the classification performance.
• For the second-stage of the hierarchical model, soft and hard fusion methods are implied respectively to promote the classification accuracy and eliminate the false alarms. Different weights of the ‘Enhancer’ output are verified and compared in terms of the accuracy in the soft fusion process.
• Soft fusion improves the accuracy by 16.7% and 11.1% with respect to static and dynamic gesture identification, whereas hard fusion reduces the accuracy variance across all the participants and produces a subsequent improvement about 5.5% in the dynamic gestures.
• Future work involves more gestures and more participants with neural network-based algorithm and additional sensors configurations and fusion approaches.