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A patina is essentially the weathered look a piece of leather takes on as it ages. The patina finishing aspect can be also generated or grown artificially by scrubbing the leather surface with specific products. These kinds of manual finishing operations on small objects are delicate and regularly need slight corrections carried out by skilled artisans, which adds complexity to the process automation and implies various key aspects to consider. This research presents a novel approach for automatic and semiautomatic shoe patina growing in the footwear industry using a new co-creative method based on cooperative robotics. The system automates the process in pursuit of operator time-saving without reducing the work finishing quality. For this purpose, the use of a collaborative robot with a built-in constant contact force control and a collaborative tool are used in this research. The use of both tools in complementarity with the knowledge of the craftsman leads the robot end-effector adaptation to the inherent curved surfaces over the shoe. Besides, some orientation corrections are applied based on the CAD model for the task to be accurately accomplished. The solution has been successfully integrated in a real production line, and it is currently in use.

A patina is essentially the weathered look a piece of leather takes on as it ages. The patina finishing aspect can be also generated or grown artificially by scrubbing the leather surface with specific products. This research proposes a novel solution for bringing over automation to grow patina on leather footwear manufacturing using a new co-creative method based on cooperative robotics. These kinds of manual finishing operations on small objects are delicate and regularly need slight modifications carried out by skilled artisans, which adds complexity to the process automation and implies various key aspects to consider. This novel solution includes the design and implementation of a collaborative tool specially designed to grow patina finishing on shoe surface. The system accelerates the process in pursuit of time-saving without disregarding the work finishing quality. For this purpose, the use of a collaborative robot with a built-in constant contact force control is used in this research, together with an existing software function for manual path recording. The use of both tools in complementarity with the knowledge of the craftsman leads the robot end-effector adaptation to the inherent curved-surfaces over the shoe. Besides, some path corrections and tool orientation improvements are suggested based on data from a CAD model for the task to be accurately accomplished. This work presents a novel approach for automatic and semi-automatic shoe patina growing in the footwear industry. The solution has been successfully integrated in a real production line and it is currently in use.

This article presents a procedure for designing footwear production plants with a Decision Support System combined with an expert system and a simulation approach. The footwear industry has many operations and is labour intensive. Optimisation of plant layout, machinery, and human resources is very important to design the footwear manufacturing system, making adequate investment in space and equipment. In the industry it is essential to reduce the process time, so the research is based on a Decision Support System combined with an expert system and simulation to improve the design of the manufacturing plan. This work contains two case studies, direct injection manufacturing and assembly and carburising methods, which are compared to analyse all the necessary resources to have the best cost–benefit ratio. In each case, a precise knowledge of the type and quantity of machinery and human resources is needed to estimate the production. This comparison has been done through simulations and using a knowledge base of an expert system. The conclusions are presented in which an improvement in production time is obtained by applying the methodology developed in the study.

This paper presents a new software tool, namely RoboClass, to include and manage realistic robots and elements of the environment in Matlab simulations. These elements are loaded from CAD models using an STL-file and can be as detailed as desired. All the steps involved in the process are explained in detail. Furthermore, two illustrative examples are considered to show the effectiveness and versatility of the proposed approach: the ABB-IRB120 industrial robot and the CSA research robot. The developed tool is especially useful both for robotics research and teaching.

[EN] Surface treatment operations, such as sanding, deburring, finishing, grinding, polishing, etc. are progressively becoming more automated using robotic systems. However, previous research in this field used a completely automatic operation of the robot system or considered a low degree of human-robot interaction. Therefore, to overcome this issue, this work develops a truly synergistic cooperation between the human operator and the robot system to get the best from both. In particular, in the application developed in this work the human operator provides flexibility, guiding the tool of the robot system to treat arbitrary regions of the workpiece surface; while the robot system provides strength, accuracy and security, not only holding the tool and keeping the right tool orientation, but also guaranteeing a smooth approach to the workpiece and confining the tool within the allowed area close to the workpiece. Moreover, to add more flexibility to the proposed method, when the user is not guiding the robot tool, a robot automatic operation is activated to perform the treatment in prior established regions. Furthermore, a camera network is used to get a global view of the robot workspace in order to obtain the workpiece location accurately and in real-time. The effectiveness of the proposed approach is shown with several experiments using a 6R robotic arm., This research was founded by the Spanish Government and the Generalitat Valenciana under Grants PID2020-117421RB-C21, GV/2021/181 and ACIF/2019/007.

[EN] This article develops a human-robot cooperation to carry out treatments such as sanding, polishing, etc. on the surface of a known rigid object. For this purpose, a vision system is considered to get the object location to ensure not only the perpendicularity of the obot tool to the object surface but also a smooth approach of the tool to the surface. In order to add flexibility, the proposal includes the simultaneous combination of automatic and manual modes of operation. Thus, the human user can guide the robot tool to treat arbitrary areas (manual mode) and, when the operator releases the tool, the robot goes into the automatic mode to treat prior established areas. The method uses a task prioritization framework and three types of controllers: an admittance controller for the tool guidance; a hybrid controller to modify the tool orientation and, in the automatic mode, the tool position; and a sliding mode controller to limit the velocity at which the tool approaches the object surface. The applicability and efficacy of the proposed method is demonstrated experimentally using a conventional 6R robot arm., This work was supported in part by the Spanish Government, and in part by the Generalitat Valenciana under Grant DPI2017-87656-C2-1-R and Grant ACIF/2019/007.

[EN] This work presents a robotic-based solution devised to automate the product packaging in industrial environments. Although the proposed approach is illustrated for the case of the shoe industry, it applies to many other products requiring similar packaging processes. The main advantage obtained with the automated task is that productivity could be significantly increased. The key algorithms for the developed robot system are: object detection using a computer vision system; object grasping; trajectory planning with collision avoidance; and operator interaction using a force/torque sensor. All these algorithms have been experimentally tested in the laboratory to show the effectiveness and applicability of the proposed approach., This work has been partly supported by Ministerio de Economia y Competitividad of the Spanish Government [Grant No. RTC201654086 and PRI-AIBDE-2011-1219], by the Deutscher Akademischer Austauschdienst (DAAD) of the German Government (Projekt-ID 54368155) and by ROBOFOOT project [Grant No. 260159] of the European Commission.

[EN] This paper presents the integration of a robotic system in a human-centered environment, as it can be found in the shoe manufacturing industry. Fashion footwear is nowadays mainly handcrafted due to the big amount of small production tasks. Therefore, the introduction of intelligent robotic systems in this industry may contribute to automate and improve the manual production steps, such us polishing, cleaning, packaging, and visual inspection. Due to the high complexity of the manual tasks in shoe production, cooperative robotic systems (which can work in collaboration with humans) are required. Thus, the focus of the robot lays on grasping, collision detection, and avoidance, as well as on considering the human intervention to supervise the work being performed. For this research, the robot has been equipped with a Kinect camera and a wrist force/ torque sensor so that it is able to detect human interaction and the dynamic environment in order to modify the robot¿s behavior. To illustrate the applicability of the proposed approach, this work presents the experimental results obtained for two actual platforms, which are located at different research laboratories, that share similarities in their morphology, sensor equipment and actuation system., This work has been partly supported by the Ministerio de Economia y Competitividad of the Spanish Government (Key No.: 0201603139 of Invest in Spain program and Grant No. RTC-2016-5408-6) and by the Deutscher Akademischer Austauschdienst (DAAD) of the German Government (Projekt-ID 54368155).

[EN] A collaborative tool for robotic polishing is developed in this work in order to allow the simultaneous operation of the robot system and human operator to cooperatively carry out the polishing task. For this purpose, the collaborative environment is detailed and the polishing application is designed. Moreover, the polishing tool is developed and its implementation using the minimum viable product approach is obtained. Furthermore, a robust hybrid position-force control is proposed to use the developed tool attached to a robot system and some experiments are given to show its performance., This work was supported in part by the Ministerio de Ciencia e Innovacion (Spanish Government) under project [DPI2017-87656-C2-1-R] and the Generalitat Valenciana under Grant [VALi+ d APOSTD/2016/044].

[EN] This paper presents a human-robot closely collaborative solution to cooperatively perform surface treatment tasks such as polishing, grinding, finishing, deburring, etc. The proposed scheme is based on task priority and non-conventional sliding mode control. Furthermore, the proposal includes two force sensors attached to the manipulator end-effector and tool: one sensor is used to properly accomplish the surface treatment task, while the second one is used by the operator to guide the robot tool. The applicability and feasibility of the proposed collaborative solution for robotic surface treatment are substantiated by experimental results using a redundant 7R manipulator: the Sawyer collaborative robot., This work was supported in part by the Spanish Government under the project DPI-201787656-C2-1-R and the Generalitat Valenciana under Grant VALi+d.

© 2018 IEEE. This paper presents a control architecture readily suitable for surface treatment tasks such as polishing, grinding, finishing or deburring as carried out by a human operator, with the added benefit of accuracy, recurrence and physical strength as administered by a robotic manipulator partner. The shared strategy effectively couples the human operator propioceptive abilities and fine skills through his interactions with the autonomous physical agent. The novel proposed control scheme is based on task prioritization and a non-conventional sliding mode control, which is considered to benefit from its inherent robustness and low computational cost. The system relies on two force sensors, one located between the last link of the robot and the surface treatment tool, and the other located in some place of the robot end-effector: the former is used to suitably accomplish the conditioning task, while the latter is used by the operator to manually guide the robotic tool. When the operator chooses to cease guiding the tool, the robot motion safely switches back to an automatic reference tracking. The paper presents the theories for the novel collaborative controller, whilst its effectiveness for robotic surface treatment is substantiated by experimental results using a redundant 7R manipulator and a mock-up conditioning tool.

[EN] This work presents a hybrid position-force control of robots for surface polishing using task priority. The robot force control is designed using sliding mode ideas in order to benefit from its inherent robustness and low computational cost. In order to avoid the chattering drawback typically present in sliding mode control, several chattering-free controllers are evaluated and tested. A distinctive feature of the method is that the sliding mode force task is defined using not only equality constraints but also inequality constraints, which are satisfied using conventional and nonconventional sliding mode control, respectively. Moreover, a lower priority tracking controller is defined to follow the desired reference trajectory on the surface being polished. The applicability and the effectiveness of the proposed approach considering the mentioned chattering-free controllers are substantiated by experimental results using a redundant 7R manipulator., Spanish Government, Agencia Estatal de Investigacion (DPI2017-87656-C2-1-R). Generalitat Valenciana, Conselleria d'Educacion, Investigacion, Cultura i Esport (VALi+d APOSTD/2016/044).

[EN] The article describes the design and implementation of a computer based industrial system for production of saffron. The proposal is based on an automated greenhouse with temperature, light and irrigation control together with harvesting and stigma separation devices. The harvesting device has been specifically developed using scalability properties and computer vision. The greenhouse is designed to increase the crop density if required generating a more sustainable and continuous production. The main advantages of the proposed method are as follows: the harvesting of the saffron flower and the procedure to get the stigmas are carried out in the same process; the greenhouse allows to significantly extend the flowering time of the saffron plant; and higher productivity per worker and per planting area is achieved. In order to show the feasibility and applicability of the proposed approach, real experimentation has been carried out for the extension of the flowering time and for the harvesting and stigma separation devices and successful results have been obtained., This work has been partially supported by the European Commission under Grant No. 683987. The authors thank Enrique Gil Botella for helping with the machine design and drawings and Angel Flores Pérez for helping to generate the program for the cutting system.

[EN] This work presents a hybrid position-force control of robots in order to apply surface treatments such as polishing, grinding, finishing, deburring, etc. The robot force control is designed using sliding mode concepts to benefit from robustness. In particular, the sliding mode force task is defined using equality constraints to attain the desired tool pressure on the surface, as well as to keep the tool orientation perpendicular to the surface. In order to deal with sudden changes in material stiffness, which are ultimately transferred to the polishing tool and can produce instability and compromise polishing performance, several adaptive switching gain laws are considered and compared. Moreover, a lower priority tracking controller is defined to follow the desired reference trajectory on the surface being polished. Hence, deviations from the reference trajectory are allowed if such deviations are required to satisfy the constraints mentioned above. Finally, a third-level task is also considered for the case of redundant robots in order to use the remaining degrees of freedom to keep the manipulator close to the home configuration with safety in mind. The main advantages of the method are increased robustness and low computational cost. The applicability and effectiveness of the proposed approach are substantiated by experimental results using a redundant 7R manipulator: the Rethink Robotics Sawyer collaborative robot., This work was supported in part by the Spanish Government under the project DPI2017-87656-C2-1-R and the Generalitat Valenciana under Grants VALi + d APOSTD/2016/044 and BEST/2017/029.

[EN] This work presents the automation of a multiplace hyperbaric chamber. It includes the system modeling, identification, controller calculation and system validation. With the proposed approach a good pressure profile tracking and repeatability are achieved. Moreover, the proposed automation includes the implementation of powerful treatment tools such as Pause and Alleviation procedures. The control system implemented is based on a special zero-pole cancellation regulator. Experimental results are provided to illustrate the behavior of the automated chamber. It is important to remark that the chamber automated in this work is being successfully used in a real hospital since 2015 treating more than 40 patients per day, five days a week., The authors would like to thanks MEDIBAROX (unit of the Perpetuo Socorro Hospital) and the "Catedra de Medicina Hiperbarica" of the Miguel Hernandez University for their support and for finally implementing the control law described in this article. The authors would also like to thank Francisco Aracil Meseguer for his help with the chamber 3D modeling.

[EN] This paper presents a wireless system to send biosignals outside a hyperbaric chamber avoiding wires going through the chamber walls. Hyperbaric chambers are becoming more and more common due to new indications of hyperbaric oxygen treatments. Metallic walls physically isolate patients inside the chamber, where getting a patient's vital signs turns into a painstaking task. The paper proposes using a ZigBee-based network to wirelessly transmit the patient's biosignals to the outside of the chamber. In particular, a wearable battery supported device has been designed, implemented and tested. Although the implementation has been conducted to transmit the electrocardiography signal, the device can be easily adapted to consider other biosignals., The authors would like to thanks the University of Balearic Islands (UIB), the Miguel Hernandez University (UMH), MEDIBAROX unit of the Perpetuo Socorro Hospital and the "Catedra de Medicina Hiperbarica" (UMH) for their support allowing the use of its facilities for this work. The authors would also like to thank Borja Mas Boned for his help designing the LabVIEW application. This research has been carried out with funding and promotion of "Catedra de Medicina Hiperbarica" of the Miguel Hernandez University. http://nbio.umh.es/es/2010/12/01/catedra-de-medicina-hiperbarica-medibarox/.

This paper presents a microdevice for monitoring, control and management of electric loads at home. The key idea is to compact the electronic design as much as possible in order to install it inside a Schuko socket. Moreover, the electronic Schuko socket (electronic microdevice + Schuko socket) has the feature of communicating with a central unit and with other microdevices over the existing powerlines. Using the existing power lines, the proposed device can be installed in new buildings or in old ones. The main use of this device is to monitor, control and manage electric loads to save energy and prevent accidents produced by different kind of devices (e.g., iron) used in domestic tasks. The developed smart device is based on a single phase multifunction energy meter manufactured by Analog Devices (ADE7753) to measure the consumption of electrical energy and then to transmit it using a serial interface. To provide current measurement information to the ADE7753, an ultra flat SMD open loop integrated circuit current transducer based on the Hall effect principle manufactured by Lem (FHS-40P/SP600) has been used. Moreover, each smart device has a PL-3120 smart transceiver manufactured by LonWorks to execute the user's program, to communicate with the ADE7753 via serial interface and to transmit information to the central unit via powerline communication. Experimental results show the exactitude of the measurements made using the developed smart device.

The reliability and robustness of image-based visual servoing systems is still unsolved by the moment. In order to address this issue, a redundant and cooperative 2D visual servoing system based on the information provided by two cameras in eye-in-hand/eye-to-hand configurations is proposed. Its control law has been defined to assure that the whole system is stable if each subsystem is stable and to allow avoiding typical problems of image-based visual servoing systems like task singularities, features extraction errors, disappearance of image features, local minima, etc. Experimental results with an industrial robot manipulator based on Schunk modular motors to demonstrate the stability, performance and robustness of the proposed system are presented.

This research develops a real-time implementation of computationally expensive prediction filters by means of task parallelization and task segmentation methodologies in an FPGA. There is a brief description of the prediction filter, then two types of implementations have been developed: PC-based sequential implementations using MATLAB and C++; and an FPGA-based parallelized implementation using VHDL. A comparative study between both types of implementations shows that the execution times measured on the FPGA are considerably lower, making this implementation valid for applications with real-time requirements. Experimental results are shown for a visual servoing task to illustrate the good performance of the proposed algorithms and implementations.

This research presents a new control scheme for visual servoing that takes into account the delay introduced by image acquisition and image processing. Firstly, previous control schemes for visual servoing are discussed and then a new control scheme is proposed and fully described. Afterwards, the capabilities (steady-state errors, stability margins, step time response, etc.) of the proposed control scheme and of previous ones are analytically analyzed and compared. Next, several simulations and experimental results are provided to validate the analytical results and to illustrate the benefits of the proposed control scheme. In particular, it is shown that this new control scheme clearly improves the performance of the previous ones.

The past decades have seen the rapid development of upper limb kinematics decoding techniques by performing intracortical recordings of brain signals. However, the use of non-invasive approaches to perform similar decoding procedures is still in its early stages. Recent studies show that there is a correlation between electroencephalographic (EEG) signals and hand-reaching kinematic parameters. From these studies, it could be concluded that the accuracy of upper limb kinematics decoding depends, at least partially, on the characteristics of the performed movement. In this paper, we have studied upper limb movements with different speeds and trajectories in a controlled environment to analyze the influence of movement variability in the decoding performance. To that end, low frequency components of the EEG signals have been decoded with linear models to obtain the position of the volunteer's hand during performed trajectories grasping the end effector of a planar manipulandum. The results confirm that it is possible to obtain kinematic information from low frequency EEG signals and show that decoding performance is significantly influenced by movement variability and tracking accuracy as continuous and slower movements improve the accuracy of the decoder. This is a key factor that should be taken into account in future experimental designs.

In the recent past, the visibility problem in vision-based control has been widely investigated. The proposed solutions generally have a common goal: to always keep the object in the camera's field of view during the visual servoing. Contrary to this solution, we propose a new approach based on the concept of allowing the changes of visibility in image features during the control task. To this aim, the camera invariant visual-servoing approach has been redefined in order to take into account the changes of visibility in image features. A new smooth task function using weighted features is presented, and a continuous control law is obtained starting from it by imposing its exponential decrease to zero. Furthermore, the local stability analysis of the invariant visual-servoing approach with weighted features is presented. Finally, this promising way of dealing with the visibility issue has been successfully tested with an eye-in-hand robotic system.

This paper describes a human-computer interface based on electro-oculography (EOG) that allows interaction with a computer using eye movement. The EOG registers the movement of the eye by measuring, through electrodes, the difference of potential between the cornea and the retina. A new pair of EOG glasses have been designed to improve the user's comfort and to remove the manual procedure of placing the EOG electrodes around the user's eye. The interface, which includes the EOG electrodes, uses a new processing algorithm that is able to detect the gaze direction and the blink of the eyes from the EOG signals. The system reliably enabled subjects to control the movement of a dot on a video screen.

[EN] Visual servoing uses the visual information provided by cameras to control the movement of a robotic system. This paper presents an international on-line course aimed at BSc, MSc and PhD students in this subject. The course lasted for eight weeks, and its objective was to provide a general vision of those aspects related to the course theme including a special incentive: the professors teaching the course were the most important experts in this field at a global level, signifying that the students were able to gain access to a potentially higher quality of teaching than that available at an individual traditional university., The authors would like to thank Peter Corke for allowing us to use part of his code from the Robotics Toolbox. We should also like to express our gratitude to the Ministry of Education for their support, and in particular to Francois Chaumette and Ezio Malls, without underrating the invaluable help of Philippe Martinet, Danica Kragic, Koichi Hashimoto, Greg Hager, Seth Hutchinson, and Peter Corke himself for their collaboration as teachers on this course. And finally thanks to the almost anonymous students 1-20 on this course; their works are referred to in this paper and it may increase their H-index.

This paper presents a computer vision system to obtain, using image analysis, the optimal cutting point of saffron flowers in order to obtain their stigmas. For this purpose, an effective and flexible computer program has been developed to process the flower image in order to obtain the cutting point to be sent to the cutting element. Furthermore, experimentation with real saffron flowers has been carried out in order to validate the developed application. In particular, the tests show that the method has good robustness and high success percentage in the flower characterization regardless the shape and size of the flower. The high image processing rate of the proposed method (20 computations s–1) would allow to greatly increase the production rate obtained with an automated cutting system compared to that obtained with the traditional hand method., En este artículo se presenta un sistema de visión por ordenador para obtener, mediante análisis de imagen, el punto de corte óptimo de flores de azafrán para obtener sus estigmas. Con este propósito, se ha desarrollado un efectivo y flexible programa de ordenador que procesa la imagen de la flor y calcula el punto que será enviado al elemento de corte. Se han realizado experimentos con flores de azafrán reales para validar la aplicación desarrollada. En particular, las pruebas muestran que el método empleado es robusto y tiene un elevado porcentaje de acierto en la caracterización de la flor independientemente de su forma y tamaño. La alta tasa de procesado de imagen del método propuesto (20 cálculos s–1) permitiría incrementar drásticamente la productividad obtenida con un sistema de corte automático respecto a la que se obtiene con el tradicional método manual.

[ES] El control visual es una disciplina de gran actualidad dentro del control de robots, y dentro de ésta, los algoritmos de predicción se usan para estimar la localización de objetos o características visuales proporcionadas por un sensor con retardo (cámara). Algunos de los algoritmos más utilizados son: el filtro de Kalman; los filtros alpha-beta/gamma; el AKF; el SKF; etc. El mayor problema de algunos de ellos es conseguir que su implementación permita trabajar en aplicaciones con fuertes restricciones temporales o de tiempo real. En este artículo se presenta un nuevo método de predicción, denominado FMF, basado en la fusión o combinación borrosa de varios filtros, y por tanto con un alto coste computacional. En el artículo se estudia a través de simulación la mejora obtenida con la predicción del FMF respecto a los filtros individuales, lo que justifica su interés. Así mismo, se desarrolla su implementación de tiempo real en una FPGA empleando técnicas de paralelización y segmentado. La viabilidad, robustez y fiabilidad del algoritmo propuesto se ha comprobado mediante una aplicación experimental de control visual., [EN] Vision-based control is an important issue in robotics, and for this task, motion prediction algorithms are used to estimate the location of targets or visual features given by a camera. Some of the most extended filters are: Kalman filter; alpha-beta/gamma filters; AKF; SKF; etc. but only some of them are considered as real-time filters in the bibliography. In this paper, a real-time implementation of a new complex filter (called FMF) is presented, which can be used in applications with strong time requirements providing a better prediction. For this purpose, a FPGA device, parallelization and pipelining techniques are used to accomplish time requirements. The viability, robustness and feasibility of the proposed filter are validated in an experimental vision-based control application., Este trabajo ha sido financiado parcialmente por Bancaja.

[ES] En este trabajo se realiza una revisión crítica de los esquemas de control visual desarrollados hasta la fecha y se propone uno nuevo que los mejora en varios aspectos. En primer lugar se introducen los esquemas básicos que permiten clasificar los tipos de control visual y se delimita la problemática a resolver: el control visual indirecto basado en posición. Posteriormente se abordan de forma crítica y unificada los distintos esquemas desarrollados previamente así como el propuesto en este trabajo. En particular, el esquema propuesto evita los inconvenientes de los anteriores y los mejora bajo distintos puntos de vista: funciones de transferencia bajo un marco ideal; condiciones para error en régimen permanente nulo; márgenes de estabilidad; etc. Todos los esquemas son analizados comparativamente en simulación para evidenciar la mejora obtenida con el planteamiento propuesto. Finalmente, se muestran resultados experimentales obtenidos para un robot cartesiano de tres ejes que permiten para validar el esquema de control desarrollado., [EN] This work presents a critical review of the existing control schemes for visual control and proposes a new one that improves them. Firstly, some basic schemes are introduced in order to illustrate the types of visual control and to state the framework of the research: position-based indirect visual control. Next, the previous schemes and the new one are described and treated in a unified way. In particular, the proposed scheme improves the previous approaches in several ways: ideal transfer functions, conditions for null steady-state error, stability margins, etc. All the schemes are comparatively analyzed in simulation to show the advantage obtained with the proposed scheme. Finally, some experimental results are obtained for a 3 degree-of-freedom Cartesian robot to validate the proposed approach., Este trabajo ha sido financiado parcialmente por la Generalitat Valenciana (proyecto de investigación GVPRE/2008/168) y por Bancaja.

[EN] This paper presents a wireless ZigBee-based system to replace the traditional wired communication link of the hyperbaric chambers, which allows reducing the costs of seals capable of withstanding the internal pressures and giving rise to a more versatile system. The system is able to capture and process individual vital signs like the electrocardiography signal, and other four analogue sources, sending the data to an external computer allowing analysis, representation and sharing them with the medical staff. This work solves problems such as the attenuation of the signal produced by the metal walls of the hyperbaric chamber obtaining a coverage area big enough to manage up to six patients with an effective data rate conversion of 2kHz. Furthermore, a battery-based and multi-parameter platform is designed for multi-patient hyperbaric chambers.