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397 results on '"Barsotti, M."'

2. Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach

Author

Benedetti D, Olcese U, Bruno S, Barsotti M, Maestri Tassoni M, Bonanni E, Siciliano G, and Faraguna U

Subjects
obstructive sleep apnoea syndrome, screening, wearable devices, wrist-worn smartbands, artificial intelligence., Psychiatry, RC435-571, Neurophysiology and neuropsychology, QP351-495
Abstract

Davide Benedetti,1 Umberto Olcese,2 Simone Bruno,1 Marta Barsotti,3 Michelangelo Maestri Tassoni,3,4 Enrica Bonanni,3,4 Gabriele Siciliano,3,4 Ugo Faraguna1,5 1Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy; 2Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, the Netherlands; 3Neurological Clinics, University Hospital of Pisa, Pisa, Italy; 4Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy; 5Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, ItalyCorrespondence: Ugo Faraguna, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Via San Zeno, 31, Pisa, 56123, Italy, Tel +39 050 2213470, Email ugo.faraguna@unipi.itPurpose: A large portion of the adult population is thought to suffer from obstructive sleep apnoea syndrome (OSAS), a sleep-related breathing disorder associated with increased morbidity and mortality. International guidelines include the polysomnography and the cardiorespiratory monitoring (CRM) as diagnostic tools for OSAS, but they are unfit for a large-scale screening, given their invasiveness, high cost and lengthy process of scoring. Current screening methods are based on self-reported questionnaires that suffer from lack of objectivity. On the contrary, commercial smartbands are wearable devices capable of collecting accelerometric and photoplethysmographic data in a user-friendly and objective way. We questioned whether machine-learning (ML) classifiers trained on data collected through these wearable devices would help predict OSAS severity.Patients and Methods: Each of the patients (n = 78, mean age ± SD: 57.2 ± 12.9 years; 30 females) underwent CRM and concurrently wore a commercial wrist smartband. CRM’s traces were scored, and OSAS severity was reported as apnoea hypopnoea index (AHI). We trained three pairs of classifiers to make the following prediction: AHI < 5 vs AHI ≥ 5, AHI < 15 vs AHI ≥ 15, and AHI < 30 vs AHI ≥ 30.Results: According to the Matthews correlation coefficient (MCC), the proposed algorithms reached an overall good correlation with the ground truth (CRM) for AHI < 5 vs AHI ≥ 5 (MCC: 0.4) and AHI < 30 vs AHI ≥ 30 (MCC: 0.3) classifications. AHI < 5 vs AHI ≥ 5 and AHI < 30 vs AHI ≥ 30 classifiers’ sensitivity, specificity, positive predictive values (PPV), negative predictive values (NPV) and diagnostic odds ratio (DOR) are comparable with the STOP-Bang questionnaire, an established OSAS screening tool.Conclusion: Machine learning algorithms showed an overall good performance. Unlike questionnaires, these are based on objectively collected data. Furthermore, these commercial devices are widely distributed in the general population. The aforementioned advantages of machine-learning algorithms applied to smartbands’ data over questionnaires lead to the conclusion that they could serve a population-scale screening for OSAS.Keywords: obstructive sleep apnoea syndrome, screening, wearable devices, wrist-worn smartbands, artificial intelligence

Published
2022

9. Discrete Cutaneous Feedback for Reducing Dimensions of Wearable Haptic Devices

Author

Leonardis, D, Gabardi, M, Barsotti, M, and Frisoli, A

Abstract

In this article, we explore alternative cutaneous haptic feedback for rendering modulation of the grasping force. The aim of the study was to reduce power requirements and in turn dimensions of the actuators, in wearable devices applied to virtual or teleoperated manipulation. This is critical in certain rehabilitation or training scenarios where haptics should not interfere with dexterity of the user. In the study, we experimented discrete, pulsed cutaneous force feedback and compared it with conventional continuous proportional feedback, in a virtual pick and place task. We made use of wearable thimbles based on voice coil actuators in order to provide high-quality, low-noise haptic feedback to the participants. The evaluation was performed on the basis of both objective measurements of task performance (measured virtual forces and correct ratio) and a questionnaire evaluating participants’ preferences for the different feedback conditions. On the basis of the obtained results, in the article, we discuss the possibility of providing high-frequency, discretized cutaneous feedback only, driven by modulation of the grasping force. The opportunity is to reduce volume and mass of the actuators and also to consider alternative design solutions, due to the different requirements in terms of static and high-frequency components of the output force.

Published
2022

19. Surveillance and Rescue of Pancreas Grafts

Author

Boggi, U., Vistoli, F., Signori, S., Del Chiaro, M., Campatelli, A., Di Candio, G., Morelli, L., Coletti, L., Amorese, G., Vignali, C., Cioni, R., Petruzzi, P., Barsotti, M., Rizzo, G., Marchetti, P., and Mosca, F.

Published
2005
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28. Which diet for calcium stone patients: A real-world approach to preventive care

Author

D'Alessandro, C., Ferraro, Pietro Manuel, Cianchi, C., Barsotti, M., Gambaro, Giovanni, Cupisti, A., Ferraro P. M. (ORCID:0000-0002-1379-022X), Gambaro G. (ORCID:0000-0001-5733-2370), D'Alessandro, C., Ferraro, Pietro Manuel, Cianchi, C., Barsotti, M., Gambaro, Giovanni, Cupisti, A., Ferraro P. M. (ORCID:0000-0002-1379-022X), and Gambaro G. (ORCID:0000-0001-5733-2370)

Abstract

Kidney stone disease should be viewed as a systemic disorder, associated with or predictive of hypertension, insulin resistance, chronic kidney disease and cardiovascular damage. Dietary and lifestyle changes represent an important strategy for the prevention of kidney stone recurrences and cardiovascular damage. A full screening of risk factors for kidney stones and for cardiovascular damage should be recommended in all cases of calcium kidney stone disease, yet it is rarely performed outside of stone specialist clinics. Many patients have a history of kidney stone disease while lacking a satisfactory metabolic profile. Nonetheless, in a real-world clinical practice a rational management of kidney stone patients is still possible. Different scenarios, with different types of dietary approaches based on diagnosis accuracy level can be envisaged. The aim of this review is to give patient-tailored dietary suggestions whatever the level of clinical and biochemistry evaluation. This can help to deliver a useful recommendation, while avoiding excessive dietary restrictions especially when they are not based on a specific diagnosis, and therefore potentially useless or even harmful. We focused our attention on calcium stones and the different scenarios we may find in the daily clinical practice, including the case of patients who reported renal colic episodes and/or passed stones with no information on stone composition, urinary risk factors or metabolic cardiovascular risk factors; or the case of patients with partial and incomplete information; or the case of patients with full information on stone composition, urinary risk factors and metabolic cardiovascular profile.

Published
2019

31. 17. Univocal IONM code

Author

Motti, L., primary, Torre, G., additional, Barsotti, M., additional, Ferrari, F., additional, and Basile, C., additional

Published
2017
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