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The brain is an amazingly complex and efficient machine. While it may not be considered "general purpose" in terms of its computational capabilities, it performs a set of functions such as feature extraction, classification, synthesis, recognition, learning, and higher-order decision-making amazingly well. Unfortunately the dynamic behavior of the brain at large is still marginally understood...
In this work, the design of a service-oriented infrastructure for monitoring and managing energy consumption in public buildings and spaces is presented. The main focus concerns the development of software layers enabling the interoperability between heterogeneous wireless sensor and actuator nodes aimed at monitoring the energy consumption, controlling environmental parameters such as illuminance...
The cost of healthcare is increasing worldwide. Without disruptive changes, a large part of the population in many developed countries will no longer be able to afford healthcare by 2040. Part of the solution will come from focusing on prevention. Having personal tools at everyone's disposal, which will help people to monitor their health and to change their behavior, can enable disease prevention...
This paper presents a remotely powered implantable heart monitoring system for freely moving animals. The system measures the blood pressure in the left ventricle of the heart and transmits the data to a database unit. The implanted unit is remotely powered over 25 mm at 8 MHz and has autonomous power control system for changing received power levels due to the moving animal. The blood pressure is...
Fully mobile and wireless motion capturing is a mandatory requirement for undisturbed and non-reactive analysis of human movements. Therefore, inertial sensor platforms are used in applications like analysis of training sessions in sports or rehabilitation, and allow non-restricted motion capturing. The computation of the required reliable orientation estimation based on the inertial sensor RAW data...
This paper presents the development of a system based on computational intelligence techniques and on an accelerometer to perform, in a comfortable and non-intrusive manner, the recognition of basic movements of a person's routine. The information provided by this system can be directed to support promoting health and well-being of the individual, as well as diagnosing and remote patient monitoring...
The aim of this work is the development of a computationally low-cost scheme for feature extraction and the implementation of an One-class Support Vector Machine classifier for people fall detection, by using a tri-axial MEMS wearable wireless accelerometer, managed by a stand-alone PC through ZigBee connection. The proposed approach allows the generalization of the detection of fall events in several...
In this paper, we introduce a real-time food intake monitoring system for mobile devices. The proposed system gets acceleration data from the sensor placed on the wrist of the user during a meal. The data is then sent to the mobile device via Bluetooth. The system analyses patterns between the motion profile and bite actions by first filtering the data to remove noise effects and then identifying...
In recent years, we have become fascinated by the idea of tiny surgical robots that can be introduced into a blood vessel, travel through the patient's body, exchange information with an external controller for detailed diagnosis, and perform local interventions. They might even be permanently resident in the body for continuous monitoring. Such robots exist only in the realm of science fiction today...
We report the experimental study of noise in electrochemical biosensors as related to voltage and concentration. A comparison with experiments is performed for H2O2 and Ferrocyanide with bare sensors, and with sensors functionalized with Multi-Walled Carbon Nanotubes (MWCNT) modified electrodes. Chronoamperometry measurements at different voltages were carried out, followed by fast Fourier transform...
This paper investigates the response of a nanoelectrode based capacitive biosensor to the presence of single and double strands of DNA/PNA. The expected admittance spectrum for an idealized system with cylindrical symmetry, where the biomolecule is represented by a simple dielectric and charged rod, is calculated over a broad frequency range extending from below to above the electrolyte's dielectric...
This study presents a wireless energy and data transfer system for neural implants with an emphasis on epilepsy monitoring. A wireless uplink data transmission system is built upon a remote powering system based on magnetic coupling which has been implemented previously. Uplink communication from the implant unit to the external base station is realized by shifting the resonance frequency of the load...
This paper extends Average Threshold Crossing (ATC) wireless transmission to a multi-channel case by using Address-Event Representation (AER) as the way to convey information. This is encoded in the timings of the transmitted packets which in turn carry the identifier of the event source. By integrating a Impulse RadioUltra Wide Band (IR-UWB) and choosing the proper protocol and modulation, we can...
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