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Daniele Esposito

Researcher at University of Naples Federico II

Publications -  33
Citations -  608

Daniele Esposito is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 6, co-authored 23 publications receiving 175 citations. Previous affiliations of Daniele Esposito include Information Technology University.

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Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation

TL;DR: This review paper examined the suitability of upper limb prosthesis (ULP) inventions in the healthcare sector from their technical control perspective and the overall structure of pattern recognition schemes for myo-control prosthetic systems and their real-time use on amputee upper limbs.
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A Piezoresistive Sensor to Measure Muscle Contraction and Mechanomyography.

TL;DR: Preliminary validation tests on healthy subjects showed the ability of the FSR sensor, used instead of the EMG, to proportionally control a hand prosthesis, achieving comparable performances.
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A Piezoresistive Array Armband With Reduced Number of Sensors for Hand Gesture Recognition.

TL;DR: A new piezoresistive sensors array armband is proposed for hand gesture recognition that encloses only three sensors targeting specific forearm muscles, with the aim to discriminate eight hand movements and is suitable for hand-prosthesis control.
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Forcecardiography: A Novel Technique to Measure Heart Mechanical Vibrations onto the Chest Wall.

TL;DR: The encouraging results of this feasibility study suggest that FCG is not only able to acquire similar information as SCG, but it also provides additional information on ventricular contraction.
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A Novel Broadband Forcecardiography Sensor for Simultaneous Monitoring of Respiration, Infrasonic Cardiac Vibrations and Heart Sounds

TL;DR: In this article, a new piezoelectric sensor was proposed to record all heart vibrations simultaneously, as well as a respiration signal, which can be compared to the FSR-based one to assess its suitability for forcecardiography.