Publications by authors named "F Mereu"

Upper limb amputation severely affects the quality of life of individuals. Therefore, developing closed-loop upper-limb prostheses would enhance the sensory-motor capabilities of the prosthetic user. Considering design priorities based on user needs, the restoration of sensory feedback is one of the most desired features.

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Enhanced Recovery After Surgery (ERAS) protocols have changed perioperative care, aiming to optimize patient outcomes. This study assesses ERAS implementation effects on postoperative complications, length of hospital stay (LOS), and mortality in colorectal cancer (CRC) patients. A retrospective real-world analysis was conducted on CRC patients undergoing surgery within a Northern Italian Cancer Registry.

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Introduction: Colonic Diverticular Disease (CDD) is a multifactorial inflammatory disease. Acute diverticulitis (AD), with extraluminal free air (both pericolic and distant), represents about 15% of radiological scenarios and remains a therapeutic challenge for surgeons. Currently, the WSES guidelines suggest trying a conservative strategy both in the presence of pericolic and distant free extraluminal air, even if both have respectively weak recommendation based on low/very low-quality evidence.

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The restoration of sensory feedback is one of the current challenges in the field of prosthetics. This work, following the analysis of the various types of sensory feedback, aims to present a prototype device that could be used both for implantable applications to perform PNS and for wearable applications, performing TENS, to restore sensory feedback. The two systems are composed of three electronic boards that are presented in detail, as well as the bench tests carried out.

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Introduction: Muscular activation sequences have been shown to be suitable time-domain features for classification of motion gestures. However, their clinical application in myoelectric prosthesis control was never investigated so far. The aim of the paper is to evaluate the robustness of these features extracted from the EMG signal in transient state, on the forearm, for classifying common hand tasks.

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