Live Demonstration: Wireless Device for Clinical Pulse Wave Velocity Evaluations

This Live Demonstration presents a low-cost wireless integrated device for clinically evaluating Pulse Wave Velocity (PWV). The system comprises two pen-shaped probes with a high-precision MEMS force sensor on their tips and a base/charging station. The two probes are placed on the femoral and carotid arterial sites and send the pulse wave signals to the base/charging station via Bluetooth. A PC GUI displays the signals and calculates in real-time the PVW value. The visitors can see a real PWV measurement on a dedicated test subject or experience, in the first person, the arterial pulse assessment on their carotid after proper probe sterilization

A review of physiological measures for mental workload assessment in aviation

The relevant growth of human-machine interaction (HMI) systems in recent years is leading to the necessity of being constantly aware of the cognitive workload level of an operator, especially in a safety-critical context such as aviation. Since the confusion in the definition of this concept, this paper clarifies this terminology and also highlights its relationship with stress. Thus, we analysed the state-of-the-art of cognitive workload evaluations, showing three up-to-date methodologies: subjective, behavioural and physiological. In particular, the physiological approach is increasingly gaining attention in the literature due to today’s exponential growth of biomedical sensors. Therefore, a review of the most adopted physiological signals in the workload evaluation is provided, focusing on the aeronautical field. We conclude by highlighting the necessity of a multimodal approach for mental workload assessment as a result of this analysis

A New Noninvasive System for Clinical Pulse Wave Velocity Assessment: The Athos Device

This paper presents a low cost, noninvasive, clinical-grade Pulse Wave Velocity evaluation device. The proposed system relies on a simultaneous acquisition of femoral and carotid pulse waves to improve estimation accuracy and correctness. The sensors used are two high precision MEMS force sensors, encapsulated in two ergonomic probes, and connected to the main unit. Data are then wirelessly transmitted to a standard laptop, where a dedicated graphical user interface (GUI) runs for analysis and recording. Besides the interface, the Athos system provides a Matlab algorithm to process the signals quickly and achieve a reliable PWV assessment. To better compare the results at the end of each analysis, a detailed report is generated, including all the relevant examination information (subject data, mean PTT, and obtained PWV). A pre-clinical study was conducted to validate the system by realizing several Pulse Wave Velocity measurements on ten heterogeneous healthy subjects of different ages. The collected results were then compared with those measured by a well-established and largely more expensive clinical device (SphygmoCor)