Take-Home Messages

• REM Behavior Sleep Disorder is a serious, sometimes dangerous condition that causes people to “act out” their dreams; thus, monitoring and diagnosis of such disease are significant.
• This paper demonstrates the design and implementation of an innovative system for monitoring patients suffering from REM sleep behavior disorder.
• Continuous monitoring of RBD patients is crucial to prevent injury; the proposed identify RBD episodes with accuracy higher than 90%.
• The work leverages the finer-grained information to monitor patients suffering from RBD and fully exploits the amplitude and phase information.

Take-Home Messages

• We propose to combine radar and wearable sensors (accelerometer, gyroscope, and magnetometer) data to simultaneously improve human activities classification rates and minimise false alarms when detecting critical events such as falls.
• Feature selection and fusion methods, at both feature level and decision level, are tested on experimental data collected simultaneously using radar and wearable sensors.
• Sequential forward selection (SFS) significantly helps reduce the dimension of the feature subset and improve the classification accuracy.
• For the feature level fusion, we were able to increase the classification accuracy by 12.2% and 3.3%, compared to the use of radar and wearable sensors on their own.
• Decision level fusion also improves to 94.8% and 96.7% classification accuracy with Fuzzy logic-based decision making and LOGP soft fusion. A novel voting system was also proposed by combining two SVM and KNN classifiers trained by radar and inertial sensor independently. This is demonstrated to achieve 97.8% classification accuracy and 100% fall detection specificity for the ‘fall event’ class.
• Future work will explore the robustness of this multi-sensory approach with additional data collection involving more subjects and more sensors types and configurations.

Take-Home Messages

• In this paper, a low-cost super-tiny senor node with temperature sensing function is presented together with fully integrated mm-wave frequency wireless power transfer technique in 65 nm CMOS technology, which can increase temperature monitoring accuracy for a tiny location such as a solution for low-cost disposable skin sensor.
• In this paper, a mm2 sized, low cost and no battery sensor with temperature sensing is achieved in a 65 CMOS technology which can be applied in medical treatment.
• In this paper, the sensor node is targeted at the low-cost, low-sized, disposable sensing application in medical/biological.
• This paper presents an mm-wave wireless powered sensor node which is fully integrated in a CMOS technology, including on-chip antenna, on silicon mm-wave wireless power receiver, energy storage, energy monitoring, and a low power temperature sensing with a transmitter.

Take-Home Messages

• Invasive surgery is a problem for biomedical implants due to infection at the incision site and reactions to anesthesia.
• The use of stents embedded with electronics is an attractive alternative method for implanting minimally invasive biomedical devices via angiographic catheter delivery.
• The use of stents precludes batteries. Hence, wireless power transfer to the device is a requirement.
• This work employs inductive and capacitive coupling to demonstrate two different methods for transferring power to a stent-based biomedical device safely. The ideal power transfer method depends on the location of the implant.
• Such devices could be used to monitor biological indicators and vital signs such as blood pressure, blood glucose and even neural signals.

Take-Home Messages

• The reported work utilizes an open-stub as the sensing element, demonstrates a fully integrated complex dielectric sensor in K-band frequencies and results in flexible DC output.
• The proposed sensor can be useful as a compact, label-free and low-power all-electrical sensing approach for relative dielectric sensing of biological and chemical materials with minimal invasion.
• It can offer continuous glucose monitoring, human body hydration sensing as implants or wearable device, also it can be useful as a lab-on-a-chip for DNA sequencing, malignant cell growth observation, cell cultivation monitoring etc.
• The sensor demonstrates complex permittivity within 3.7% accuracy for the real part and 4.3% for the imaginary part for dielectric chemical samples like methanol and ethanol.

Take-Home Messages

• What are the innovative features of using electromagnetics for biomedical applications in this manuscript (in one sentence)? The modulation of light reflected by optical gratings is used to measure temperature changes during laser ablation for cancer removal.
• What is the conclusion drawn in this manuscript (in one sentence)? Carbon fibers based on fiber Bragg gratings allow performing distributed temperature monitoring during image-guided laser ablation.
• What are the targeted biological and/or medical applications (in one sentence)? The medical application here presented is the laser ablation therapy for cancer removal in soft organs, e.g., liver.
• What is the significance/breakthrough of this study? This study brings useful tools for real-time monitoring of laser ablation effects.
• What are the accomplishments you would like to highlight in this manuscript to our readers (which are not mentioned above, in one sentence)? As confirmed by tests in the presented pre-clinical scenario, the proposed probe is suitable for temperature monitoring during CT-guided laser ablation, and no artifact is produced on the diagnostic images.