1,720,965 research outputs found
Organoleptic Properties Remote Sensing and Life-Time Prediction along the Perishables Goods Supply-Chain
No full textNowadays, two of the most compelling challenges in the field of food safety and certification are the reduction of the multitude of food losses and wastes in the supply chain and the improvement of certification and monitoring procedures during each stage of production. The aim of this paper is to propose an effective solution to both problems: a wireless sensor network (WSN) combined with a further data processing for real-time monitoring and shelf life prediction
Gait Analysis for Fall Prediction Using EMG Triggered Movement Related Potentials
No full textAbnormal gait is an usual feature in neurodegenerative disease (i.e.: Huntington Chorea, Parkinson and Alzheimer), while the capability to maintain a stable posture and fluid walking is progressive impaired in aging. Monitoring and correcting the insurgence of abnormal dynamic balance opens new scenarios in the cure of these diseases and falls prevention. In this work, we present a study based on EEG time-frequency analysis to identify the correlation between synchronized EEG and EMG signals for gait analysis. Several tools for gait analysis are developed and experimented i.e. EMG trigger generation with dynamic threshold, EMG co-contraction, EEG movement related potentials (MRPs) and EEG event related desynchronizations (ERDs). This work particularly focus on gait analysis indexes implementation and experimentally obtained results based on a large dataset, including different type of gait i.e. normal gait, perturbed gait and gait during a second cognitive task (DT). A weighted average on the calculated indexes are exploited to quantify the falling risk
The Truth Machine of Involuntary Movement: FPGA Based Cortico-muscular Analysis for Fall Prevention
No full textVoluntary movements are managed by movement related potentials (MRPs) which are brain activity patterns detectable even 500ms before the movement itself. The cortico-muscular matching between brain (EEG) and muscles (EMG) activity allows the assessment of the intentionality of the performed movement. Basing on this knowledge, a real-time algorithm for falling risk prediction based on EMG/EEG coupled analysis is presented. The system architecture involves 8 EMG (limbs) and 8 EEG (motor-cortex) channels wirelessly collected by a FPGA (gateway) that contextually performs the real-time processing based on an event triggered time-frequency approach. The digital architecture is validated on the FPGA to determine resources utilization, related timing constraints and performance figures of a dedicated real-time ASIC implementation for wearable applications. The system resource utilization is 85.95% ALMs, 43283 ALUTs, 73.0% registers, 9.9% block memory of an Altera Cyclone V FPGA. The processing latency is lower than 1ms and the output are available in 56ms, respecting the time limit of 300ms. Outputs enables decision-taking for feedback delivering
Biodegradable pressure sensor for health-care
No full textThe subject of the present work is the design, the testing and the implementation of a biodegradable and biocompatible pressure sensor that can be swallowed or implanted in the human body. It has to be biodegradable, at least in part, biocompatible and small in the size. The biodegradable polymer used (Polycaprolactone, PCL) and the technique of printing gold (200-400 nm thick) on it have played a key role throughout the project. PCL was used both as substrate, on which all connections for discrete surface mount devices were printed, and for fabricating the pressure sensitive devices. A possible implementation for gastroenterology is presented. The final implementation fully satisfies the design specifications of biodegradability and biocompatibility, high operating frequency, high frequency sensitivity to changes in capacitance and size minimization
Wireless capsule technology: Remotely powered improved high-sensitive barometric endoradiosonde
No full textIn this paper an improved design of an RFID powered swallowable barometric endoradiosonde (ERS) is presented. The ERS consists of a micro fabricated capacitive sensor printed in gold on Polycaprolactone (PCL) on which a transponder chip design in 0.35μm AMS technology is in-plane bounded to the PCL substrate. The implantable or inside the body, transponder (tag) is powered by the external reader at 900MHz through inductively coupled antennas. The tag performs the capacitance to frequency conversion and transmits data back to the reader using load-shift keying (LSK) modulation. The ERS can measure the sensor output frequency with an INL error of 0.4%, sensitivity (Δf/ΔP) of -6.12MHz/kPa, occupies a volume of 1mm3 (transponder only), consumes, 400μW and 360μW for, respectively, dynamic and static power. The sensor has an accuracy of ± 0.1kPa, works in the pressure range of 0-1.99kPa (0-15mmHg). The readout circuit has a ±1.84kHz resolution
The Ultimate IoT Application: a Cyber-Physical System for Ambient Assisted Living
No full textWe propose a novel approach that integrates wireless, non-invasive devices with fast, real-time algorithms for large data analysis and biofeedback reaction, to discern the voluntariness of human movement through direct sensing of brain potentials combined with muscular action signal monitoring. The system has been tested in real situations
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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