BIOMEDICAL ANTHROPOMETRIC EVALUATION AND CONCEPTUAL MECHANICAL DESIGN OF ROBOTIC SYSTEM FOR LOWER LIMBS PASSIVE-REHABILITATION ON POST-STROKE PATIENTS

ORIGINAL ARTICLE

REVISTA DE LA FACULTAD DE MEDICINA HUMANA 2024 - Universidad Ricardo Palma
10.25176/RFMH.v24i2.6550

BIOMEDICAL ANTHROPOMETRIC EVALUATION AND CONCEPTUAL MECHANICAL DESIGN OF ROBOTIC SYSTEM FOR LOWER LIMBS PASSIVE-REHABILITATION ON POST-STROKE PATIENTS

FEVALUACIÓN ANTROPOMÉTRICA BIOMÉDICA Y DISEÑO MECÁNICO CONCEPTUAL DE UN SISTEMA ROBÓTICO PARA LA REHABILITACIÓN PASIVA DE MIEMBROS INFERIORES EN PACIENTES POST-ACCIDENTE CEREBROVASCULAR

Cesar Martel Cervantes ORCID 1
Carol Sandoval ORCID 1
Ricardo Palomares ORCID 1
Jeanette Borja Arroyo ORCID 2
Margarita Murillo Manrique ORCID 1
Jose Cornejo ORCID 1

1Grupo de Investigación en Robótica y Mecatrónica Avanzada (GI-ROMA), Universidad Ricardo Palma, Lima, Peru.
2 Hospital Edgardo Rebagliati Martins, Lima, Peru.

ABSTRACT

Background: Cerebrovascular accident (CVA) is one of the main causes of permanent disability, as it can cause serious brain injuries with significant physical consequences, limiting the ability to perform daily activities.
Objective: This research aimed to design a robotic system of passive-continuous movement for the rehabilitation of lower limbs in adult patients with stroke, thus improving the chances of recovery of their walking mobility.
Methodology: Modeling and simulation of the robotic system using Computer Aided Design (CAD), using the engineering software Autodesk Inventor Professional 2023.
Results: The initial and final positions of the robotic system were obtained, as well as the simulation of passive-continuous movement.
Conclusions: Taking precise measurements of a patient maximizes the possibility of implementing a functional prototype that contributes to the rehabilitation process.

Keywords: robotics, rehabilitation, lower limbs, design, cerebrovascular accident, simulation (source: MeSH NLM)

RESUMEN

Antecedentes: El accidente cerebrovascular (ACV) es una de las principales causas de discapacidad permanente, ya que puede provocar lesiones cerebrales graves con secuelas físicas significativas, limitando la capacidad de realizar actividades diarias.
Objetivo: Esta investigación tuvo como objetivo diseñar un sistema robótico de movimiento pasivo-continuo para la rehabilitación de miembros inferiores en pacientes adultos con ACV, mejorando así las probabilidades de recuperación de su movilidad de marcha.
Metodología: Se llevó a cabo el modelado y simulación del sistema robótico mediante Diseño Asistido por Computadora (CAD), utilizando el software de ingeniería Autodesk Inventor Professional 2023.
Resultados: Se obtuvieron las posiciones iniciales y finales del sistema robótico, así como la simulación de movimiento pasivo-continuo.
Conclusiones: La toma de medidas precisas de un paciente maximiza la posibilidad de implementar un prototipo funcional que contribuya en el proceso de rehabilitación.

Palabras clave: robótica, rehabilitación, miembros inferiores, diseño, accidente cerebro vascular, simulación. (fuente: DeCS- BIREME)


1. INTRODUCTION



In Peru, according to the 2017 Specialized Disability Survey conducted by the Instituto Nacional de Estadística e Informática (INEI), 10.3% of the population, approximately 3,209,261 people, have some form of disability [1]. Among these, a total of 10,570 cases of patients with stroke were recorded [2]. It is estimated that 60% of people hospitalized due to stroke suffer from disabling sequelae, and only 20% of those affected complete physical rehabilitation programs [4]. According to the 2019 INEI data, 88.6% of the total population with some type of disability did not receive treatment or rehabilitation therapy, while only 11.4% managed to access some form of care in this regard [5]. This disparity can be partly attributed to the lack of utilization of rehabilitation technology in Peru, due to economic factors and lack of awareness about the existence of these devices as part of physical rehabilitation therapies.

Stroke can be prevented by leading a healthy lifestyle and, if it occurs, can be effectively treated if the patient is taken to a hospital emergency room as soon as possible after presenting the first signs, at which point the chances of recovery are high [6]. For the aforementioned reasons, the design of a continuous passive motion robotic system for the rehabilitation of lower limbs in adult patients affected by stroke is proposed. This system aims to facilitate and maximize the recovery of motor functions of the lower extremities, both at home and in hospital settings, with monitoring and follow-up by the rehabilitation physician. Currently, various studies have been developed to address the diverse mobility problems of the lower limbs, including, for example, the development of systems for gait assistance [6], treatment of motor disabilities caused by cerebral palsy [8], and the development of control applications for exoskeletal systems [8]. However, the first models of exoskeletons emerged in the 1960s in the laboratories of Cornell University [9].

Yang's structure represents one of the first documented attempts with exoskeletal characteristics, whose primary objective was to increase power in walking rhythm and jumping [10]. Another version of this type of exoskeleton was implemented with direct current motors. However, the motor, power system (battery), and computational technology of the time greatly limited the portability of the device [11].

In Spain, at the Universidad Politécnica de Catalunya, a design of an active knee-ankle orthosis was presented [12]. This project focuses on assisting and recovering patients with spinal cord injury, whose condition often leaves them without mobility in approximately 80% of their body. In Latin America, exoskeletons have been developed for the rehabilitation of arms as well as legs. In the field of arm rehabilitation, for example, advances have been made with exoskeletons offering up to four degrees of freedom, adapted to the anthropometry of Mexican patients through optimal conceptual design [13]. These exoskeletons focus on the rotation movement of the humerus, flexion and extension of the elbow [14], pronation, and supination of the hand [15]. In the case of leg rehabilitation, systems with two degrees of freedom for ankle and knee therapies have been developed, including the use of force, speed, and position sensors [16], as well as designs exclusive for knee flexion-extension [17]. In this sense, the application of technology in physical rehabilitation improves patient independence when attending their therapies, as demonstrated by research [18].

In conclusion, the development of the project represents a significant advancement in the implementation of rehabilitation equipment that improves the physical condition of patients with gait limitations due to stroke, allowing them to be more independent in their daily activities. In the future, the research aims to implement the lower limb robotic system, providing patients the opportunity to recover an essential component of their function and autonomy under the supervision of the rehabilitation physician.

2. METHODOLOGY 2.1. Biomechanical analysis of lower limbs

This project focuses on the biomechanical analysis of the lower extremities, which includes the knee and foot as shown in Figure 1, with the purpose of designing a robotic system for the rehabilitation of stroke patients. The movements and functions of the joints are examined in different contexts to identify specific rehabilitation needs. The critical biomechanical factors to consider in the design of an exoskeleton are the degrees of freedom and movements [19], which are fundamental for the development of computer-aided design (CAD) modeling that facilitates the recovery of motor function in patients who have experienced a stroke.

Figure 1. Anatomy of the lower limb.

Source: Adapted from https://www.goconqr.com/es/p/26439765?dont_count=true&frame=true&fs=true


The joints of the lower limb are illustrated, including the hip, knee, and ankle [20], represented by red circles. Lines connect these joints, showing the movement trajectories during the rehabilitation process [21]. It can be observed how the system's design allows for multidirectional movements and personalized adjustments, offering a wide range of exercises to improve mobility and muscle strength in patients with lower limb dysfunction, as shown in Figure 2.

Figure 2. Movement of lower limb joints.

Source: Adapted fromhttps://www.kenhub.com/es/library/anatomia-es/tipos-de-movimientos-del-cuerpo-humano



According to Table 1, the degrees of biomechanical movement in the knee and ankle joints [22] allow the design of robotic rehabilitation systems that can provide personalized and specific therapies for each patient. The ability to adjust the resistance and speed of movement based on the individual needs of each patient [23]is essential for optimizing rehabilitation outcomes and promoting effective recovery of motor function in the lower limbs.

Table 1. Degrees of movement of the knee and ankle joint.

Joint

Movement

Degrees

Knee

Extension – Flexion

0° a 120°

Ankle

Plantar – Dorsal Flexion

-40° a 20°

Supination – Pronation

-35° a 15°


Taken from “Basic Biomechanics of the Musculoskeletal System” (Nordin, 2004).



The measurement of the lower limb was performed by dividing it into L1, L2, and L3 as shown in Figure 3, based on the anatomy and individual proportions of the patient [24]. The correct implementation of these anthropometric measurements ensures proper biomechanical alignment and balanced load distribution during the rehabilitation process, which is essential for maximizing the effectiveness and safety of the treatment. This allows for optimal adjustment to create the CAD prototype design of the lower limb robotic rehabilitation system.

Figure 3. Anthropometric measurements of the lower limb.

Source: Adapted from https://depositphotos.com/es/vectors/icono-cuerpo-humano.html



2.2 3D mechanical design of the robotic system

The present mechanical design of the robotic system is based on the patient’s anthropometric measurements, focusing primarily on the biomechanics of each joint. Its objective is to carry out adequate rehabilitation of the knee and ankle as a result of a stroke [25]. Autodesk Inventor Professional 2023 software was used to design the parts of the structure, which is divided into a leg and foot support, similar to the exoskeleton [18], where the obtained results are within the permitted resistance limits for material validation and selection. Additionally, the base of the device is composed of a support and a rail system, as shown in Figure 4. This device is planned to be prototyped using 3D printing in the next stage of the project [26].

Figure 4. CAD design of the knee and ankle system.

Source: Created in Autodesk Inventor Professional 2023.



2.3 Kinematic structure of the lower limb

The objective of kinematics in a lower limb robotic system is to analyze the movement capability through the position and orientation with joint coordinate values [27]. Figure 5 shows the geometric representation of the patient’s lower limb.

Figure 5. Kinematic structure of the lower limb.

Source: Elaborado en Just Sketch software.



Table 2 shows the geometric parameters of the lower limb according to the Denavit-Hartenberg (D-H) convention based on the reference systems and dimensions in Figure 5 [28].

Table 2. D-H joint parameters for the leg

Link i

ai

αi

di

Ɵi

1

M1

0

0

Ɵ1

2

M2

0

0

Ɵ2


Where:
i = represents the joint number
ai =distance along the xi axis
αi = distance between the zi and zi+1 axes
di = distance between the zi axes
Ɵi = angle between the xi y xi+1axes




The direct kinematic model allows calculating the position and orientation of the leg based on its joint angles. Therefore, it is necessary to calculate the homogeneous transformation matrix Ai for each joint, as represented in equation 1.



By substituting the joint parameters from Table 2 into equation 1, the following matrices are obtained:



To obtain the direct kinematic model (position and orientation of the end) of the lower limb, it is necessary to multiply the matrices A1 and A2. Therefore, the homogeneous transformation matrix representing the position and orientation is represented in equation 2.



3. RESULTS

In the present research, the anthropometric data of a 40-year-old patient were analyzed, as shown in Table 3, with lower limb limitations due to a stroke, a height of 170 cm, and a weight of 90 kg.

Table 3. Lower limb measurements of the patient

Limb

Dimension (cm)

Thigh

43.01

Leg

41.99

Foot

6.63




The simulation results conducted in Autodesk Inventor Professional 2023 software, as shown in Figure 6, indicate that the robotic system meets the functional requirements for the rehabilitation and improvement of lower limb spasticity in stroke patients. The maximum flexion movements achieved (80° in the hip, 40° in the knee, and 20° in the ankle) are within the established therapeutic ranges, suggesting that the device can be effective in improving the degrees of movement in these patients, as assessed by the Modified Ashworth Scale [29].

Figure 6. Simulation of the robotic system in flexion.

Source: Created in Autodesk Inventor Professional 2023.



For knee extension, the system successfully reached 180°, representing full extension. This range is crucial for facilitating natural movements and daily activities such as walking, standing up, and sitting down. The simulation showed that the knee mechanism can support the load without compromising stability, which is essential for effective rehabilitation. The precision in the simulation suggests that the system can replicate physiological movements with high fidelity, which is essential to avoid injuries and maximize therapy effectiveness. Additionally, the system's stability under maximum extension conditions ensures that patients can use it safely during prolonged rehabilitation sessions.

Figure 7. Simulation of the robotic system in extension

Source: Created in Autodesk Inventor Professional 2023.



The maximum extension angles achieved in the hip (170°), knee (180°), and ankle (40°), as shown in Table 4, are adequate to facilitate comprehensive functional recovery. These results support the use of this system as a potentially valuable tool in physical rehabilitation programs, contributing to improved quality of life for patients.

Table 4. Lower limb measurements of the patient

Limb

Figure 7

Figure 8

Hip

80°

170°

Ankle

40°

180°

Tobillo

20°

40°




The precision in the simulation suggests that the system can replicate physiological movements with high fidelity, which is essential to avoid injuries and maximize therapy effectiveness.

4. CONCLUSIONS

This research demonstrates that the lower limb medical robotic system [31] has been designed with biomechanical principles and simulated using the Denavit-Hartenberg (D-H) algorithm, showing its potential to be a valuable tool in the rehabilitation of stroke patients by providing knee and ankle movements essential for functional recovery. Additionally, the homogeneous transformation matrices enable the creation of displacement graphs and simulations of leg movement, providing better understanding and control of the rehabilitation process.

The extension and flexion angles achieved by the system are adequate to facilitate comprehensive recovery. The system's ability to maintain these angles stably and controlled ensures that patients can perform the necessary rehabilitation exercises without risk of injury, which is essential for safe and effective therapy, thereby significantly improving the quality of life for stroke patients.

The results obtained not only confirm the conceptualization of the system's technical feasibility but also open the possibility of developing real prototypes and evaluating them in clinical settings. Moreover, this project has the potential to be used in future space missions where lower limb rehabilitation is required, as muscle deterioration occurs in low-gravity environments [31]. As future work, it is proposed to implement and test the prototype, conducting spasticity evaluations on the Modified Ashworth Scale before and after using the device in a group of stroke patients to validate its in-situ effectiveness and optimize the design to an ergonomic model. The next stage of the project, which will involve use in humans, will have the approval of the Ethics Committee.


Authorship contributions: C.M.C. and C.S. participated in the conceptualization, research, methodology, data analysis and interpretation, resources, and writing of the original draft; J.B.A. participated in clinical supervision and application of results; R.P., M.M.M., and J.C. participated in technical supervision and advice, data analysis and interpretation, writing of the article, and critical revision of the article.
Founding: This article is the product of the first phase of the research project "Design and Simulation of a Continuous Passive Motion Robotic System for the Rehabilitation of Lower Limbs in Adult Patients with Hemiplegia Due to Cerebrovascular Accidents (CVA)" approved by University Council Agreement No. 182-2024 and funded by the Vice-Rectorate for Research of Universidad Ricardo Palma.
Declaration of conflict of interest: The authors declare no conflict of interest.
Received: May 15, 2024
Approved: June 08, 2024


Correspondence author: Carol Sandoval
Address: Av. Alfredo Benavides 5440, Santiago de Surco 15039, Lima-Peru.
Phone: (+51) 999661222
E-mail: keiko.sandoval@urp.edu.pe


Article published by the Journal of the faculty of Human Medicine of the Ricardo Palma University. It is an open access article, distributed under the terms of the Creatvie Commons license: Creative Commons Attribution 4.0 International, CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), that allows non-commercial use, distribution and reproduction in any medium, provided that the original work is duly cited. For commercial use, please contact revista.medicina@urp.edu.pe.


REFERENCIAS BIBLIOGRÁFICAS

    1. INEI, “Perú Características de la Población con Discapacidad” Instituto Nacional de Estadística e Informática. Lima, Perú. Accedido: agosto de 2023. [Online]. Disponible: https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1209/Libro.pdf
    2. Bernabé-Ortiz A, Carrillo-Larco RM. Tasa de incidencia del accidente cerebrovascular en el Perú. Revista peruana de medicina experimental y salud pública. 2021 Dec 20;38:399-405. doi: 10.17843/rpmesp.2021.383.7804
    3. Ortiz KA, Luyo FL. La importancia de la rehabilitación en el Accidente Cerebrovascular en el Perú. Interciencia médica. 2021;11(4):69-70. doi: 10.56838/icmed.v11i4.11
    4. Ministerio de Salud (2019). Prevención y manejo de condiciones secundarias de salud en personas con discapacidad. https://www.minsa.gob.pe/presupuestales/doc2019/pp/anexo/ANEXO2_8.pdf
    5. Instituto Nacional de Ciencias Neurológicas. (2021). El ataque cerebrovascular sí se puede prevenir y tratar. https://www.incn.gob.pe/2021/10/29/el-ataque-cerebrovascular-si-se-puede-prevenir-y-tratar/
    6. Lee Y, Kim YJ, Lee J, Lee M, Choi B, Kim J, Park YJ, Choi J. Biomechanical design of a novel flexible exoskeleton for lower extremities. IEEE/ASME Transactions on Mechatronics. 2017 Jun 23;22(5):2058-69. doi: 10.1109/TMECH.2017.2718999
    7. Lerner ZF, Damiano DL, Park HS, Gravunder AJ, Bulea TC. A robotic exoskeleton for treatment of crouch gait in children with cerebral palsy: Design and initial application. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2016 Jul 27;25(6):650-9. doi: 10.1109/TNSRE.2016.2595501
    8. Kim S, Bae J. Force-mode control of rotary series elastic actuators in a lower extremity exoskeleton using model-inverse time delay control. IEEE/ASME Transactions on Mechatronics. 2017 Mar 27;22(3):1392-400. doi: 10.1109/TMECH.2017.2687979
    9. Velandia C, Celedón H, Tibaduiza DA, Torres-Pinzón C, Vitola J. Design and control of an exoskeleton in rehabilitation tasks for lower limb. In2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA) 2016 Aug 31 (pp. 1-6). IEEE. doi: 10.1109/STSIVA.2016.7743341
    10. Dollar AM, Herr H. Lower extremity exoskeletons and active orthoses: Challenges and state-of-the-art. IEEE Transactions on robotics. 2008 Feb 25;24(1):144-58. doi: 10.1109/TRO.2008.915453
    11. Pamungkas DS, Caesarendra W, Soebakti H, Analia R, Susanto S. Overview: Types of lower limb exoskeletons. Electronics. 2019 Nov 4;8(11):1283. doi: 10.3390/electronics8111283
    12. Yan T, Cempini M, Oddo CM, Vitiello N. Review of assistive strategies in powered lower-limb orthoses and exoskeletons. Robotics and Autonomous Systems. 2015 Feb 1;64:120-36. doi: 10.1016/j.robot.2014.09.032
    13. Ayala-Lozano JF, Urriolagoitia-Sosa G, Romero-Angeles B, Miguel TS, René C, Aguilar-Pérez LA, Urriolagoitia-Calderón GM. Mechanical design of an exoskeleton for upper limb rehabilitation. Revista Colombiana de Biotecnología. 2015 Jan;17(1):79-90. doi: 10.15446/rev.colomb.biote.v17n1.44188
    14. Gutiérrez Carvajal RE, Vanegas F, Duque J, Avilés O, Niño P. Diseño y control de un exoesqueleto para rehabilitación motora en miembro superior. In IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health: September 24th–28th, 2007 Margarita Island, Venezuela 2008 (pp. 758-761). Springer Berlin Heidelberg. doi: 10.1007/978-3-540-74471-9_176
    15. Plaza A, Hernandez M, Puyuelo G, Garces E, Garcia E. Lower-limb medical and rehabilitation exoskeletons: A review of the current designs. IEEE Reviews in Biomedical Engineering. 2021 May 7;16:278-91. doi: 10.1109/RBME.2021.3078001
    16. López R, Aguilar H, Salazar S, Lozano R, Torres JA. Modelado y Control de un Exoesqueleto para la Rehabilitación de Extremidad Inferior con dos grados de libertad. Revista iberoamericana de automática e informática industrial. 2014;11(3):304-14. doi: 10.1016/j.riai.2014.02.008
    17. Chen B, Zi B, Wang Z, Qin L, Liao WH. Knee exoskeletons for gait rehabilitation and human performance augmentation: A state-of-the-art. Mechanism and Machine Theory. 2019 Apr 1;134:499-511. doi: 10.1016/j.mechmachtheory.2019.01.016
    18. Sandoval C, Martel C, Palomares R, Arroyo JB, Manrique MF, Cornejo J. Conceptual Mechatronic Design of Ankle-foot Exoskeleton System for Assisted Rehabilitation of Pediatric Patients with Spastic Cerebral Palsy. In2023 IEEE MIT Undergraduate Research Technology Conference (URTC) 2023 Oct 6 (pp. 1-5). IEEE. doi: 10.1109/URTC60662.2023.10534922
    19. Lugo E, Ponce P, Molina A, Castro S. Co-simulación del Diseño Biomecánico para un exoesqueleto robótico del miembro inferior. Revista mexicana de ingeniería biomédica. 2014;35(2):143-56. URL: https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0188-95322014000200004
    20. Azocar AF, Mooney LM, Hargrove LJ, Rouse EJ. Design and characterization of an open-source robotic leg prosthesis. In2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) 2018 Aug 26 (pp. 111-118). IEEE. doi: 10.1109/BIOROB.2018.8488057
    21. Ntai A, Zahou F, Paradisis G, Smirniotou A, Tsolakis C. Anthropometric parameters and leg power performance in fencing. Age, sex and discipline related differences. Science & Sports. 2017 Jun 1;32(3):135-43. doi: 10.1016/j.scispo.2016.06.011
    22. Guzmán Valdivia CH, Carrera Escobedo JL, Blanco Ortega A, Oliver Salazar MA, Gómez Becerra FA. Diseño y control de un sistema interactivo para la rehabilitación de tobillo: TobiBot. Ingeniería mecánica, tecnología y desarrollo. 2014;5(1):255-64. URL: https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-73812014000200003
    23. Comfort P, Jones PA, Smith LC, Herrington L. Joint kinetics and kinematics during common lower limb rehabilitation exercises. Journal of athletic training. 2015 Oct 1;50(10):1011-8. doi: 10.4085/1062-6050-50.9.05
    24. Rodríguez-Herrera R, Losardo RJ, Binvignat O. La anatomía humana como disciplina indispensable en la seguridad de los pacientes. International Journal of Morphology. 2019;37(1):241-50. doi: 10.4067/S0717-95022019000100241
    25. Zhang X, Yue Z, Wang J. Robotics in lower-limb rehabilitation after stroke. Behavioural neurology. 2017 Jun 8;2017. doi: 10.1155/2017/3731802
    26. Cornejo J, Cornejo-Aguilar JA, Vargas M, Helguero CG, Milanezi de Andrade R, Torres-Montoya S, Asensio-Salazar J, Rivero Calle A, Martínez Santos J, Damon A, Quiñones-Hinojosa A. Anatomical Engineering and 3D printing for surgery and medical devices: International review and future exponential innovations. BioMed research international. 2022;2022(1):6797745. doi: 10.1155/2022/6797745
    27. Aguirre J, Pérez MB, Palomares R, Cornejo J. Ergonomic Bio-Design and Motion Simulation of a Mechatronic Orthosis System for Knee Rehabilitation. In2022 IEEE XXIX International Conference on Electronics, Electrical Engineering and Computing (INTERCON) 2022 Aug 11 (pp. 1-4). IEEE. doi: 10.1109/INTERCON55795.2022.9870040
    28. Nasrabadi AA, Absalan F, Moosavian SA. Design, kinematics and dynamics modeling of a lower-limb walking assistant robot. In2016 4th International Conference on Robotics and Mechatronics (ICROM) 2016 Oct 26 (pp. 319-324). IEEE. doi: 10.1109/ICRoM.2016.7886867
    29. Harb A, Kishner S. Modified Ashworth Scale. [Updated 2023 May 1]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK554572/
    30. Cornejo J, Barrera S, Ruiz CH, Gutierrez F, Casasnovas MO, Kot L, Solis MA, Larenas R, Castro-Nieny F, Saavedra MA, Serrezuela RR. Industrial, collaborative and mobile robotics in Latin America: Review of mechatronic technologies for advanced automation. Emerging Science Journal. 2023 Jul 12;7(4):1430-58. doi: 10.28991/ESJ-2023-07-04-025
    31. Rivera MV, Cornejo J, Huallpayunca K, Diaz AB, Ortiz-Benique ZN, Reina AD, Lino GJ, Ticllacuri V. Medicina humana espacial: Performance fisiológico y contramedidas para mejorar la salud del astronauta. Revista de la Facultad de Medicina Humana. 2020 Apr;20(2):303-14. doi: 10.25176/rfmh.v20i2.2920



http://www.scielo.org.pe/scielo.php?script=sci_serial&pid=2223-2516&lng=en&nrm=iso


Do you want to leave your comment or suggestion about this article?

CLICK HERE