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The Smart Hospital: Data and AI Challenges

The Smart Hospital: Data and AI Challenges

2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

作者： Plati, Daphni K. Konstantakopoulos, Fotios S. Kalatzis, Theofanis Manousos, Dimitrios Kassiotis, Thomas Di Luzio, Francesco Scotto Tagliamonte, Nevio Luigi Zollo, Loredana Tsiknakis, Manolis Fotiadis, Dimitrios I. University of Ioannina Unit of Medical Technology and Intelligent Information Systems Materials Science and Engineering Department Greece Forth Biomedical Research Institute IoanninaGR 45110 Greece Forth Institute of Computer Science Crete HeraklionGR 70013 Greece Campus Bio-Medico University Research Unit of Advanced Robotics and Human-Centred Technologies Rome Italy

ISBN: (纸本)9798350383386

Healthcare systems generally constitute a combination of healthcare facilities and providers that collaborate in order to offer a complete range of healthcare services. As the primary providers of healthcare, hospitals hold an essential place in the healthcare system. This study introduces three novel automated Artificial Intelligence (AI) systems by using the robotic platform of the TIAGo robot: (i) an image-based system that monitors the food consumption of the patients and provides information regarding their energy intake to prevent malnutrition;(ii) a rehabilitation system that monitors patients as they perform prescribed exercises to prevent loss of mobility, and (iii) a monitoring system for the correctness of the oxygen therapy in terms of the proper positioning of the oxygen mask to prevent hypoxia complications. A well-designed observational clinical study is planned to evaluate and validate the utility and effectiveness of the proposed AI systems in improving patient stay in the hospital. For the abovementioned systems, three novel datasets were *** Relevance: Through the implementation of AI systems, the proposed research intends to provide specialists with an extra tool to aid in the monitoring of hospitalized patients, thus helping to prepare the way for the Smart Hospital. © 2023 IEEE.

关键词： Hospitals

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A Smart Solution for Proprioceptive Rehabilitation through M-IMU Sensors

A Smart Solution for Proprioceptive Rehabilitation through M...

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Workshop on Metrology for Industry 4.0 and IoT

作者： Martina Lapresa Christian Tamantini Francesco Scotto di Luzio Francesca Cordella Marco Bravi Sandra Miccinilli Loredana Zollo Unit of Advanced Robotics and Human-Centred Technologies Campus Bio-Medico University of Rome Rome Italy Unit of Physical Medicine and Rehabilitation Campus Bio-Medico University of Rome Rome Italy

ISBN: (数字)9781728148922

ISBN: (纸本)9781728148939

The decrease of proprioception is a common consequence of neuromuscular and musculoskeletal diseases, and a rehabilitation treatment is needed to recover proprioceptive abilities. Many studies demonstrate that biofeedback training of sensory-motor functions can improve the outcome of rehabilitation. The combined use of biofeedback, wearable sensors and Internet of Things represents a very useful solution to develop smart wearable devices to be used for augmenting rehabilitation, both in clinics and at home. This paper proposes and validates a smart and easy-to-use system for proprioceptive training, which provides biofeedback to the patient thanks to a custom-designed Virtual Reality game. Attention is paid to reduce the complexity of the system and the amount of data to be exchanged for controlling the game and to be stored for assessing the patient's progresses, still ensuring the effectiveness of the system to monitor the patient also in home-rehabilitation scenarios. The system was experimentally validated on 8 healthy subjects and the obtained results demonstrated that the Virtual Reality game is easy and intuitive, as confirmed by the high performance of the subjects (success rate > 90%), and that allows training different features of limb proprioception.

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Contactless Respiration Rate Monitoring and human Body Pose Detection for Search and Rescue Robots

Contactless Respiration Rate Monitoring and Human Body Pose ...

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IEEE/RAS-EMBS International Conference on Biomedical robotics and Biomechatronics (BioRob)

作者： Roberto Cittadini Luca Rosario Buonocore Mario Di Castro Loredana Zollo European Council for Nuclear Research CERN Meyrin Switzerland Research Unit of Advanced Robotics and Human-Centred Technologies Universita Campus Bio-Medico di Roma Rome Italy

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

The significant increase of robots in complex and hazardous environments highlights their ability to timely and effectively respond to emergency and life-threatening situations. The integration of robotics with unobtrusive monitoring of vital signals emerges as a promising avenue to improve the well-being and safety of workers. Respiration rate is a crucial parameter to instant assess the health state of survivors and to guide Search and Rescue (SAR) operations in challenging emergencies. Although existing robotic solutions in the literature for the detection of respiration parameters in emergency scenarios propose various solutions involving cameras, radar, and physical interaction with survivors, however, the current solutions neglect the impact of body posture on the measurement of respiration rate and the need to adapt the robotic configuration according to body position, compromising the accuracy of the measurement. A case study concerns the European Organisation for Nuclear Research (CERN), which faces unique challenges in emergency response due to its extensive underground facilities. This work proposes an innovative contactless respiration rate monitoring approach, that considers human body posture and utilizes a laser sensor's optical operating principles. A mobile robotic system is employed to detect missing individuals and to point a laser sensor on the survivor's chest-abdominal area for measuring respiration rate. Optimal sensor placement enhances the performance of monitoring algorithms in challenging conditions such as darkness or smoke presence. To validate the proposed approach, an experiment was conducted with ten healthy volunteers in an environment simulating the real scenario. Respiration rate values under different body postures and different breathing conditions are contactless measured via laser and compared with a benchmark device.

关键词： Accuracy Current measurement Area measurement Measurement by laser beam Biomedical measurement Position measurement Robot sensing systems Optical sensors Robots Monitoring

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A Hand-Wrist Control Strategy Based on human Upper Limb Kinematics

A Hand-Wrist Control Strategy Based on Human Upper Limb Kine...

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IEEE/RAS-EMBS International Conference on Biomedical robotics and Biomechatronics (BioRob)

作者： E. Stefanelli M. Lapresa F. Cordella D. D'Accolti C. Cipriani L. Zollo Unit of Advanced Robotics and Human-Centred Technologies Università Campus Bio-Medico di Roma Rome Italy BioRobotics Institute Of the Scuola Superiore Sant'Anna Pisa Italy Department of Excellence in Robotics AI Scuola Superiore Sant'Anna Pisa Italy

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

The human wrist has a fundamental role in grasping tasks since it accurately controls the hand posture. The current commercial prosthetic systems lack several functionalities proper of the human wrist which could increase task success, especially for the most complex ones, and could reduce cognitive effort thanks to the detection of slip events. The analysis of the human wrist-hand kinematics and dynamics could be a starting point for reaching such goals. In particular, by studying the correlations between grip forces and wrist rotation speed, an innovative hand-wrist control strategy was developed aimed at improving the performance of the prosthetic system in grasping and manipulation tasks during Activities of Daily Living (ADLs). Preliminary early stages tests in a simulation environment were performed to evaluate the control strategy performance in two different ADL tasks, i.e. object picking and placing and pouring water, in three different conditions: I) stable grasp; ii) slip event; iii) tangential force variation. Two control parameters were considered to compare the simulated system with the real one. The results demonstrated the prosthetic hand-wrist system can reproduce the expected behaviour.

关键词： Wrist Correlation Force Dynamics Thumb Kinematics Grasping Usability Robots Prosthetics

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Study of Parametric Effects due to Mutual Coupling using High Permittivity Dielectric-Director in Planar Array Configuration 7

Study of Parametric Effects due to Mutual Coupling using Hig...

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7th IEEE International Conference on Engineering technologies and Applied Sciences, ICETAS 2020

作者： Shaikh, Faraz Ahmed Khan, Sheroz Alvi, Bilal Ahmad Alam, Ahm Zahirul Baillargeat, Dominique Joyo, M. Kamran Faculty of Eng Dept. of Electrical Eng Karachi Pakistan Onaizah Colleges of Engineering Electronics Renewable Eng Dept. of Electrical Saudi Arabia Faculty of Eng Dept. of ECE Kuala Lumpur Malaysia XLIM University of Limoges Dept. of Research Limoges France Università Campus Bio-Medico di Unit of Advanced Robotics and Human-centred Technologies Roma Italy

ISBN: (纸本)9780738105048

This paper evaluate the parametric effects due to mutual coupling between inter-elements using balance antipodal Vivaldi antenna (BAVA) with high permittivity dielectric director in an array configuration. An elliptical shaped dielectric-director made by the substrate of Rogers RO-3010 with high permittivity of ϵr=10.2 is used with BAVA in order to enhance the radiation characteristics of the antenna in focus. An antenna (66mm × 60.75mm) in dimension designed on FR4 substrate, which covers ultra-wide frequency band of 114.28% from 3GHz to 8GHz. The performance of an antenna with dielectric director is evaluated in a capacity of gain enhancement, directivity, regular radiation pattern with low side lobe level and beam width. Further, the use of dielectric directors in planner antenna array based configuration can provide significantly change in radiation characteristic and also provide help in the reduction of mutual coupling inter-elements. The same results can be obtained by using four elements with high permittivity dielectric directors in the planner antenna array based arrangement instead of eight or more elements without directors. This is an alternative way to reduce the number of elements in an antenna array based system. The design and optimization progression is realized out using CST simulation software. © 2020 IEEE.

关键词： Antenna arrays

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Design and development of an instrumented glove for hand rehabilitation in children suffering from cerebral palsy: a digital manufacturing approach

Design and development of an instrumented glove for hand reh...

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Workshop on Metrology for Industry 4.0 and IoT

作者： Giorgia Cusimano Alessia Longo Alessio Uffreduzzi Marco Bravi Fabrizio Taffoni Advanced Robotics and Human-Centred Technologies - CREO Lab Università Campus Bio-Medico di Roma Rome Italy Physical Medicine and Rehabilitation Research Unit Università Campus Bio-Medico di Roma Rome Italy

ISBN: (数字)9781728148922

ISBN: (纸本)9781728148939

Cerebral palsy in infancy represents one of the major causes of permanent motor deficit in the upper limb movements. An early diagnosis and timely rehabilitation therapy would facilitate the partial or total recovery of the physiological movement range. Unfortunately, currently available technological solutions for rehabilitation and assessment of upper limb are not suited for children younger than 5 years of age. The advancements in manufacturing technologies have made possible the fabrication of highly accurate custom physical models of patient anatomy and, more recently, patient specific implants. This work investigates the possibility to develop a workflow based on digital manufacturing technologies to design parametric solutions for rehabilitation and motor assessment in children younger than 5 years of age. In details, this work presents the development of an instrumented glove for the assessment of thumb therapy in children aged between 4 and 5 years suffering from the “thumb in the palm syndrome”.

关键词： smart glove digital manufacturing personalized therapy Digital manufacturing Manufacturing technology Rehabilitation Cerebral Palsy Child Gloves Upper Extremity Thumb rehabilitation therapy Lake Restoration

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BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical Applications

arXiv

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arXiv 2024年

作者： Manni, Guido Lauretti, Clemente Prata, Francesco Papalia, Rocco Zollo, Loredana Soda, Paolo Research Unit of Computer Systems and Bioinformatics Department of Engineering Università Campus Bio-Medico di Roma Rome Italy Unit of Advanced Robotics and Human-Centred Technologies Department of Engineering Università Campus Bio-Medico di Roma Rome Italy Department of Urology Fondazione Policlinico Universitario Campus Bio-Medico Rome Italy

Endoscopic surgery relies on two-dimensional views, posing challenges for surgeons in depth perception and instrument manipulation. While Monocular Visual Simultaneous Localization and Mapping (MVSLAM) has emerged as a promising solution, its implementation in endoscopic procedures faces significant challenges due to hardware limitations, such as the use of a monocular camera and the absence of odometry sensors. This study presents BodySLAM, a robust deep learning-based MVSLAM approach that addresses these challenges through three key components: CycleVO, a novel unsupervised monocular pose estimation module;the integration of the state-of-the-art Zoe architecture for monocular depth estimation;and a 3D reconstruction module creating a coherent surgical map. The approach is rigorously evaluated using three publicly available datasets (Hamlyn, EndoSLAM, and SCARED) spanning laparoscopy, gastroscopy, and colonoscopy scenarios, and benchmarked against four state-of-the-art methods. Results demonstrate that CycleVO exhibited competitive performance with the lowest inference time among pose estimation methods, while maintaining robust generalization capabilities, whereas Zoe significantly outperformed existing algorithms for depth estimation in endoscopy. BodySLAM’s strong performance across diverse endoscopic scenarios demonstrates its potential as a viable MVSLAM solution for endoscopic applications. Copyright © 2024, The Authors. All rights reserved.

关键词： Depth perception

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Biomechanics of Exoskeleton-Assisted Treadmill Walking

Biomechanics of Exoskeleton-Assisted Treadmill Walking

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IEEE International Conference on Rehabilitation robotics (ICORR)

作者： F. Di Tommaso F. Tamburella M. Lorusso L. Gastaldi M. Molinari N. L. Tagliamonte Research Unit of Advanced Robotics and Human-Centred Technologies Università Campus Bio-Medico di Roma Rome Italy Neurorehabilitation 1 Department Laboratory of Robotic Neurorehabilitation Fondazione Santa Lucia Rome Italy Department of Mechanical and Aerospace Engineering Politecnico di Torino Turin Italy

To exploit the benefits of treadmill-based exoskeletons, it is crucial to assess possible deviations from natural walking depending on assistive parameters. This study evaluated the biomechanics of exoskeleton-assisted treadmill walking by comparing it with free gait. Five healthy participants walked freely on a treadmill and with the assistance of the Lokomat gait trainer, while changing Body Weight Support (BWS), Gait Speed (GS), and Guidance Force (GF). Results showed that the hip and knee joint kinematics depended on BWS and GS, while changes due to GF were limited. Moreover, joint kinematics and the activity of related muscles were altered with respect to free gait, for any combination of robot parameters in the case of the ankle, and especially for low GS and with BWS in the case of hip and knee. Overall, walking with the Lokomat can mostly resemble free gait at high speed and without BWS.

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The Smart Hospital: Data and AI Challenges

The Smart Hospital: Data and AI Challenges

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Data Science and Engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic Conference on

作者： Daphni K. Plati Fotios S. Konstantakopoulos Theofanis Kalatzis Dimitrios Manousos Thomas Kassiotis Francesco Scotto Di Luzio Nevio Luigi Tagliamonte Loredana Zollo Manolis Tsiknakis Dimitrios I. Fotiadis Materials Science and Engineering Department Unit of Medical Technology and Intelligent Information Systems University of Ioannina Biomedical Research Institute FORTH Ioannina GR 45110 Greece Institute of Computer Science FORTH Heraklion Crete GR 70013 Greece Research Unit of Advanced Robotics and Human-Centred Technologies Campus Bio-Medico University Rome Italy

Healthcare systems generally constitute a combination of healthcare facilities and providers that collaborate in order to offer a complete range of healthcare services. As the primary providers of healthcare, hospitals hold an essential place in the healthcare system. This study introduces three novel automated Artificial Intelligence (AI) systems by using the robotic platform of the TIAGo robot: (i) an image-based system that monitors the food consumption of the patients and provides information regarding their energy intake to prevent malnutrition; (ii) a rehabilitation system that monitors patients as they perform prescribed exercises to prevent loss of mobility, and (iii) a monitoring system for the correctness of the oxygen therapy in terms of the proper positioning of the oxygen mask to prevent hypoxia complications. A well-designed observational clinical study is planned to evaluate and validate the utility and effectiveness of the proposed AI systems in improving patient stay in the hospital. For the abovementioned systems, three novel datasets were *** Relevance: Through the implementation of AI systems, the proposed research intends to provide specialists with an extra tool to aid in the monitoring of hospitalized patients, thus helping to prepare the way for the Smart Hospital.

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Automated Food Intake Monitoring System to Prevent Malnutrition Using the Tiago Robot Camera*

Automated Food Intake Monitoring System to Prevent Malnutrit...

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Data Science and Engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic Conference on

作者： Fotios S. Konstantakopoulos Daphni K. Plati Labrina A. Pliakou Francesco Scotto Di Luzio Nevio Luigi Tagliamonte Loredana Zollo Manolis Tsiknakis Dimitrios I. Fotiadis Unit of Medical Technology and Intelligent Information Systems Materials Science and Engineering Department University of Ioannina Biomedical Research Institute FORTH Ioannina GR 45110 Greece Research Unit of Advanced Robotics and Human-Centred Technologies Campus Bio-Medico University Rome Italy Institute of Computer Science FORTH Heraklion Crete GR 70013 Greece

The management of a daily diet is a significant concern among individuals in modern culture. The utilization of dietary assessment systems has significantly contributed to the efficient management of malnutrition and dietary habits over a period of time. In order to determine the nutritional value of the food that individuals consume, this study introduces a novel food monitoring system and its architecture. By creating a dataset of food images in a tray and using image processing, machine learning, and computer vision techniques, the nutrients and calories consumed by a patient are calculated. The proposed system achieves a 95.6% Intersection over Union score in the segmentation task, 92.3% top-1 accuracy in the classification task, and 4.6 g mean weight absolute error in the weight estimation *** Relevance: The proposed system has the ability to calculate the nutritional composition, encompassing calories, proteins, fats, and carbs, of food consumed by a patient, making it suitable for nutritional monitoring applications and healthcare systems that aim to monitor malnutrition in hospital patients.

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