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1.
Sensors (Basel) ; 22(14)2022 Jul 13.
Article in English | MEDLINE | ID: mdl-35890931

ABSTRACT

A robust perception system is crucial for natural human-robot interaction. An essential capability of these systems is to provide a rich representation of the robot's environment, typically using multiple sensory sources. Moreover, this information allows the robot to react to both external stimuli and user responses. The novel contribution of this paper is the development of a perception architecture, which was based on the bio-inspired concept of endogenous attention being integrated into a real social robot. In this paper, the architecture is defined at a theoretical level to provide insights into the underlying bio-inspired mechanisms and at a practical level to integrate and test the architecture within the complete architecture of a robot. We also defined mechanisms to establish the most salient stimulus for the detection or task in question. Furthermore, the attention-based architecture uses information from the robot's decision-making system to produce user responses and robot decisions. Finally, this paper also presents the preliminary test results from the integration of this architecture into a real social robot.


Subject(s)
Robotics , Humans , Robotics/methods , Social Interaction
2.
World J Urol ; 39(9): 3593-3598, 2021 Sep.
Article in English | MEDLINE | ID: mdl-33616709

ABSTRACT

PURPOSE: To analyze the efficiency and cost-utility profile of ureteroscopy versus shock wave lithotripsy for treatment of reno-ureteral stones smaller than 2 cm. METHODS: Patients treated for urinary stones smaller than 2 cm were included in this study (n = 750) and divided into two groups based on technique of treatment. To assess the cost-utility profile a sample of 48 patients (50% of each group) was evaluated. Quality of life survey (Euroqol 5QD-3L) before-after treatment was applied, Markov model was designed to calculate quality of life in each status of the patients (stone or stone-free with and without double-J stent) and to estimate the incremental cost-utility. Monte carlo simulation was conducted for a probabilistic sensitivity analysis. Chi-square was used for comparing qualitative variables and T student's for continuous variables. RESULTS: Shock wave lithotripsy group had 408 (54.4%) and ureteroscopy group had 342 (45.6%) patients. Of them, 56.3% were treated for renal stones and 43.7% for ureteral stones. Ureteroscopy produced slightly higher overall quality of patients' life, but produced a significant higher overall cost per quality-adjusted life year (QALY) than shock wave lithotripsy, exceeding the cost-utility threshold (20,000€/QALY). Sensitivity analysis confirmed results in 93.65% of cases. Difference was maintained in subgroup analysis (ureteral vs renal stones). CONCLUSIONS: Results suggest that in our clinical setting shock wave lithotripsy has better cost-utility profile than ureteroscopy for treatment of reno-ureteral stones less than 2 cm, but excluding waiting times, in ideal clinical setting, ureteroscopy would have better cost-utility profile than shock wave lithotripsy.


Subject(s)
Cost-Benefit Analysis , Kidney Calculi/economics , Kidney Calculi/therapy , Lithotripsy, Laser , Lithotripsy , Ureteral Calculi/economics , Ureteral Calculi/therapy , Ureteroscopy , Adult , Aged , Female , Humans , Kidney Calculi/pathology , Male , Middle Aged , Spain , Treatment Outcome , Ureteral Calculi/pathology
4.
J Healthc Eng ; 2018: 7075290, 2018.
Article in English | MEDLINE | ID: mdl-29713440

ABSTRACT

Apraxia of speech is a motor speech disorder in which messages from the brain to the mouth are disrupted, resulting in an inability for moving lips or tongue to the right place to pronounce sounds correctly. Current therapies for this condition involve a therapist that in one-on-one sessions conducts the exercises. Our aim is to work in the line of robotic therapies in which a robot is able to perform partially or autonomously a therapy session, endowing a social robot with the ability of assisting therapists in apraxia of speech rehabilitation exercises. Therefore, we integrate computer vision and machine learning techniques to detect the mouth pose of the user and, on top of that, our social robot performs autonomously the different steps of the therapy using multimodal interaction.


Subject(s)
Apraxias/rehabilitation , Machine Learning , Robotics , Social Behavior , Speech Therapy/methods , Speech , Humans , Imaging, Three-Dimensional , Internet , Mouth/physiology , Movement , User-Computer Interface
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