Publications by authors named "Luigi Iuppariello"

Purpose: Patients affected by severe atresia auris (AA) can be a challenge during hearing restoration surgery due to the abnormal position of vascular and nervous structures in the bone. A 3D reconstruction model of malformed temporal bones can be helpful for planning surgery and optimizing intra-, peri-, and post-operative results.

Method: A 5-year-old girl with severe AA on the right side was implanted with a Bonebridge transcutaneous bone conduction implant (tBCI).

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Introduction: Coronary artery disease (CAD) is still one of the primary causes of death in the developed countries. Stress single-photon emission computed tomography is used to evaluate myocardial perfusion and ventricular function in patients with suspected or known CAD. This study sought to test data mining and machine learning tools and to compare some supervised learning algorithms in a large cohort of Italian subjects with suspected or known CAD who underwent stress myocardial perfusion imaging.

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Introduction: Parkinson's disease (PD) is the second most common neurodegenerative disorder in the world, while Progressive Supranuclear Palsy (PSP) is an atypical Parkinsonism resembling PD, especially in early stage. Assumed that gait dysfunctions represent a major motor symptom for both pathologies, gait analysis can provide clinicians with subclinical information reflecting subtle differences between these diseases. In this scenario, data mining can be exploited in order to differentiate PD patients at different stages of the disease course and PSP using all the variables acquired through gait analysis.

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The aim of this study is to implement the clinical use of the three-dimensional (3D) design and printing technology in pediatric pathologies requiring immobilization. We describe the manufacturing process of the 3D device in place of the plaster cast usually applied to a child 48/72 h after the access to the Trauma Center Traumatology Hub. This procedure had already been performed at Level II, Trauma Center, Campania Region, Orthopaedic Division of Santobono Children's Hospital, Naples, Italy.

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Cognition and gait appear to be closely related. The chronological interplay between cognitive decline and gait dysfunction is not fully understood. The aim of the present prospective study is investigating whether the dysfunction of specific gait parameters, during specific task and medication conditions, may predict subsequent cognitive impairment in Parkinson's disease (PD).

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Objectives: Smart fabrics and interactive textiles are a relatively new area of research, with many potential applications in the field of biomedical engineering. The ability of smart textiles to interact with the body provides a novel means to sense the wearer's physiology and respond to the needs of the wearer. Physiological signals, such as heart rate, breathing rates, and activity levels, are useful indicators of health status.

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This study provides a definitive analysis of the spectrum of a motor unit action potential train (MUAPT) elicited by mechanical vibratory stimulation via a detailed and concise mathematical formulation. Experimental studies demonstrated that MUAPs are not exactly synchronized with the vibratory stimulus but show a variable latency jitter, whose effects have not been investigated yet. Synchronized action potential train was represented as a quasi-periodic sequence of a given MU waveform.

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Background: The recovery of the functional limb mobility of patients with cerebral damages can take great benefit of the role offered by proprioceptive rehabilitation. Recently have been developed a special Regent Suit (RS) for rehabilitative applications. Actually, there are preliminary studies which describes the effects of RS on gait recovery of stroke patients in acute stage, but none in chronic stage.

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The present study was aimed to assess the blood flow oscillatory patterns in rat pial microvessels during 30 min bilateral common carotid artery occlusion (BCCAO) and 60 min reperfusion by laser speckle imaging (LSI). Pial microcirculation was visualized by fluorescence microscopy. The blood flow oscillations of single microvessels were recorded by LSI; spectral analysis was performed by Wavelet transform.

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Robot-mediated therapy (RMT) has been a very dynamic area of research in recent years. Robotics devices are in fact capable to quantify the performances of a rehabilitation task in treatments of several disorders of the arm and the shoulder of various central and peripheral etiology. Different systems for robot-aided neuro-rehabilitation are available for upper limb rehabilitation but the biomechanical parameters proposed until today, to evaluate the quality of the movement, are related to the specific robot used and to the type of exercise performed.

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Monitoring of foetal heart rate and its variability (FHRV) covers an important role in assessing health of foetus. Many analysis methods have been used to get quantitative measures of FHRV. FHRV has been studied in time and in frequency domain and interesting clinical results have been obtained.

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Among diagnostic techniques for foetal monitoring, phonocardiography is gaining more and more interest for its low cost, passive nature and capability to detect some cardiac diseases. In spite of these characteristics, its use in clinical routine is still limited due to different troubles; for example, signals recorded through maternal abdomen show generally a quite low signal-to-noise ratio, so that detection and analysis of foetal heart sounds result very difficult. In this scenario, the availability of artificial phonocardiographic signals, simulated with conditions resembling different foetal conditions, week of gestation and noise amount, to name someone, can be a very useful tool to train medical staff.

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Although in recent years the relationship between cognition and gait in Parkinson's disease (PD) has received increasing attention, the specific connections between gait patterns and cognitive features are not fully understood. The objective of this study was to describe the gait patterns in patients affected by PD with or without mild cognitive impairment (MCI+ and MCI-, respectively). We also sought to find an association between gait patterns and specific cognitive profiles.

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