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International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

作者： Jose Cornejo Mariela Vargas Milton V. Rivera Ricardo Palomares Ricardo Barreto Jorge Cornejo Universidad Tecnologica del Peru Lima Peru Institute of Research in Biomedical Sciences (INICIB) Universidad Ricardo Palma Lima Peru Center for Space Systems (C-SET) Institute of Research in Biomedical Sciences (INICIB) Lima Peru Research Group of Advanced Robotics and Mechatronics (GI-ROMA) Universidad Ricardo Palma Lima Peru National University of Engineering Lima Peru

ISBN: (数字)9798350354423

ISBN: (纸本)9798350354430

Manned travel to and colonization of the Moon and Mars demand a comprehensive approach that extends far beyond the ability to transport humans on powerful rockets and spacecraft. The sustain ability of human life in these hostile environments is a critical consideration, prompting extensive research to understand how humans might survive and establish themselves beyond Earth. Therefore, this article covers a scoping review, and a point of view of the most relevant published papers is analyzed. The results reveal that the continuous evolution of medical technology and risk analysis have facilitated improved design, research, and development in crucial areas such as engineering and biomedical sciences. Space life support encompasses three fundamental issues: human health and performance, environmental control and habitability, and radiation risks. These aspects are pivotal in ensuring the survival and well-being of astronauts during extended missions in space, which are critical to overcome the technological and biological challenges posed by exploring and colonizing extraterrestrial environments. In addition, the significant challenges associated with manned travel and colonization of other celestial objects underscore the need for continued innovation and collaboration across various scientific and engineering disciplines. Finally, as technological and scientific advancements continue, the prospect of colonizing the Moon and Mars becomes increasingly achievable, paving the way for the next chapter in human exploration and expansion into the cosmos.

关键词： Mars Technological innovation Reviews Space missions Telemedicine Moon Aerospace electronics Water conservation Sustainable development Medical diagnostic imaging

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Mu-laparobot: A corporative surgical robot for laparoscopic surgery

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Open biomedical engineering Journal 2020年第1期14卷 43-53页

作者： Direkwatana, Chawaphol Suthakorn, Jackrit Wilasrussamee, Chumpon Department of Biomedical Engineering Center for Biomedical and Robotics Technology (BART LAB) Faculty of Engineering Mahidol University Salaya Thailand Department of Surgery Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok Thailand

Objective: Development of surgical instrument robot (MU-LapaRobot) for assisting in conventional laparoscopic surgery. Methods: A robot was designed based on instrument movement for a conventional procedure. The mechanism mimics and constrains manipulation movement through the wire-driven transmission. It is flexible for robot end-effector, which has a lightweight and small size. The usability of the robot is passive and active robot tasks with an interconnected driving system. Three main parts of the robot are robot end-effector, transmission, and a driving system. Results: On a robot platform, a parameter for setup is robot posture. The adjustment of robot position and projection of manipulation area is influenced by the accuracy of movement. To verify movement, command and exact movements are measured. Compensation with the control system is improved in order to improve the accuracy of the system. Conclusion: MU-LapaRobot provides surgical instrument manipulation by using wire-driven transmission with an effective system and requires less interference in the conventional operation. © 2020 Direkwatana et al.

关键词： Laparoscopic surgery Medical robotics Minimally Invasive Surgery (MIS) MU-LapaRobot Surgical robotics Wire-driven transmission

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BlanketSet - A clinical real-world in-bed action recognition and qualitative semi-synchronised MoCap dataset

arXiv

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arXiv 2022年

作者： Carmona, João Karácsony, Tamás Cunha, João Paulo Silva Center for Biomedical Engineering Research INESC TEC Porto Portugal University of Porto Porto Portugal Robotics Institute Carnegie Mellon University PittsburghPA United States

Clinical in-bed video-based human motion analysis is a very relevant computer vision topic for several relevant biomedical applications. Nevertheless, the main public large datasets (e.g. ImageNet or 3DPW) used for deep learning approaches lack annotated examples for these clinical scenarios. To address this issue, we introduce BlanketSet, an RGB-IRD action recognition dataset of sequences performed in a hospital bed. This dataset has the potential to help bridge the improvements attained in more general large datasets to these clinical scenarios. Information on how to access the dataset is available at ***/dataset/nis-2022-004. © 2022, CC BY.

关键词： Large dataset

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An Effective Image Enhancement Method for Color Fundus Images

An Effective Image Enhancement Method for Color Fundus Image...

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2021年第四届算法、计算和人工智能国际会议

作者： Zhan Wang Songpo Tian Xin Fu Jiazhen He School of Biomedical Engineering Guangdong Medical University Engineering Research Center for Intelligent Robotics(ERCIR) Jihua Laboratory

A method is proposed for adaptive fundus image enhancement so as to restore the color images that are with extremely low or nonuniform brightness. Our proposed method is capable of increasing the brightness, contrast of images without losing original color hue. It includes three steps: luminance enhancement, contrast improvement, and color restoration. All procedures are adapted and modified from conventional image processing algorithms, which are proved simple and less time-consuming. Two public and commonly used fundus image database were partially employed to evaluate the performance of our method. It is concluded that the brightness of images was enhanced by 86.35 % and the contrast was improved by 132.37 % without color distortion.

关键词： biomedical imaging algorithms Fundus angiography contrast enhancement Image restoration

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Mobile Robotic Optical Coherence Tomography System for Ophthalmic Imaging in Clinical Environments

Mobile Robotic Optical Coherence Tomography System for Ophth...

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International Symposium on Medical robotics (ISMR)

作者： Genggeng Zhou Haochi Pan Samantha Staudinger Yuchen Wang Jiawei Liu Salma Fleifil Catherine Jin Nita Valikodath Ryan P. McNabb Anthony N. Kuo Mark Draelos Department of Robotics University of Michigan Ann Arbor MI USA Department of Ophthalmology and Visual Sciences University of Michigan Medical School Ann Arbor MI USA Department of Ophthalmology Duke University Medical Center Durham NC USA Department of Biomedical Engineering Duke University Durham NC USA

ISBN: (数字)9798331599003

ISBN: (纸本)9798331599010

Optical coherence tomography (OCT) is an indispensable imaging modality for the diagnosis and management of many common eye diseases. We previously presented a fixedbase robotic OCT system to enable automated imaging and alleviate the necessity for restricted patient posture required by traditional clinical OCT. To adapt our system to diverse clinic environments, we introduce a mobile robotic OCT system designed for imaging patients in diverse clinical configurations. Our system includes a robot arm, a vertical motorized lift, and a wheeled cart housing essential components for the entire system, and is equipped with real-time motion planning algorithms for head movement tracking and obstacle avoidance during imaging sessions. We validate the system's workspace through robot kinematics and clinical simulation, evaluate dynamic tracking accuracy in real world experiments, and demonstrate obstacle avoidance capability in both simulation and real world. These features will allow us to perform OCT imaging in real clinical settings in the near future.

关键词： Head Tracking Optical coherence tomography Robot kinematics Imaging Real-time systems Planning Mobile robots Collision avoidance Robots

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BlanketGen - A synthetic blanket occlusion augmentation pipeline for MoCap datasets

arXiv

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arXiv 2022年

作者： Carmona, João Karácsony, Tamás Cunha, João Paulo Silva Center for Biomedical Engineering Research Inesc Tec Porto Portugal University of Porto Porto Portugal Robotics Institute Carnegie Mellon University PittsburghPA United States

Human motion analysis has seen drastic improvements recently, however, due to the lack of representative datasets, for clinical in-bed scenarios it is still lagging behind. To address this issue, we implemented BlanketGen, a pipeline that augments videos with synthetic blanket occlusions. With this pipeline, we generated an augmented version of the pose estimation dataset 3DPW called BlanketGen-3DPW. We then used this new dataset to fine-tune a Deep Learning model to improve its performance in these scenarios with promising results. Code and further information are available at https://***/brain-lab/brain-lab-public/blanket-gen-releases. © 2022, CC BY.

关键词： Pipelines

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Developing a Multi-site Hyperscanning Procedure for Investigating Interbrain Synchrony Underlying Remote Social Interaction 17th

Developing a Multi-site Hyperscanning Procedure for Investig...

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17th International Conference on Brain Informatics, BI 2024

作者： Limtragooltongchai, Sirapakit Yamtuan, Kawin Gracia, Javier O. Chunharas, Chaipat Sriravanasan, Ramesh Chaisilprungraung, Thitaporn Itthipuripat, Sirawaj Neuroscience Center for Research and Innovation King Mongkut’s University of Technology Thonburi Bangkok Thailand Institute of Field Robotics King Mongkut’s University of Technology Thonburi Thonburi Thailand DEVCOM Army Research Laboratory Humans in Complex Systems Division AdelphiMD United States Chula Neuroscience Center King Chulalongkorn Memorial Hospital Thai Red Cross Society Bangkok10330 Thailand Cognitive Clinical and Computational Neuroscience Department of Internal Medicine Faculty of Medicine Chulalongkorn University Bangkok10330 Thailand Department of Cognitive Sciences University of California IrvineCA United States Department of Biomedical Engineering University of California IrvineCA United States Department of Computer Engineering King Mongkut’s University of Technology Thonburi Bangkok10600 Thailand

ISBN: (纸本)9789819632930

EEG hyperscanning provides novel insights into inter-brain connectivity during social interactions by enabling the simultaneous recording of neural activity from multiple individuals. This research aims to develop and validate a new protocol in which dyads engage in a synchronized button-pressing task across both same-location and multi-location setups. Our findings reveal significantly higher interpersonal neural synchronization during the interaction period compared to the baseline. Notably, the increased neural synchronization is comparable across the same- and multi-location setups, spanning frontal, central, and posterior electrodes. Interestingly, the level of synchronization in the multi-location setup is greater than in the same-location setup over electrodes positioned above the right superior temporal gyrus (STG), a region associated with social cognition and the mirror neuron system (MNS). These findings validate our methodology for studies across different locations and open new avenues for research into inter-brain synchronization in remote environments. Our experimental protocol could enhance the design of experiments and applications involving social interaction, particularly in remote settings, which have gained popularity due to COVID-19. It also advances our understanding of the neural mechanisms that support social communication in the new normal era. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Economic and social effects

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An Efficient Capsule-based Network for 2D Left Ventricle Segmentation in Echocardiography Images

An Efficient Capsule-based Network for 2D Left Ventricle Seg...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： R. Naghne A. Kazemi H. Moghaddasi M. Rahmani P. Farnia A. Ahmadian J. Alirezaie Image-Guided Surgery Group Research Center of Biomedical Technology and Robotics (RCBTR) Advanced Medical Technologies and Equipment Institute (AMTEI) Tehran University of Medical Sciences Tehran Iran Medical Physics and Biomedical Engineering Department Faculty of Medicine Tehran University of Medical Sciences (TUMS) Department of Electrical and Computer Engineering Toronto Metropolitan University Toronto Ontario Canada

The segmentation of cardiac chambers is essential for the clinical diagnosis and treatment of cardiovascular diseases. It is demonstrated that in cardiac disease, the left ventricle (LV) is extensively involved. Therefore, segmentation of the LV in echocardiographic images is critical for the precise evaluation of factors that influence cardiac function such as LV volume, ejection fraction, and LV mass. Although these measurements could be obtained by manual segmentation of the LV, it would be time-consuming and inaccurate because of the poor quality and low contrast of these images. Convolutional neural networks, commonly referred to as CNNs, have emerged as a highly favored deep learning technique for medical image segmentation. Despite their popularity, the pooling layers in CNNs ignore the spatial information and do not consider the part-whole hierarchy relationships. Furthermore, they require a large training dataset and a large number of parameters. Therefore, Capsule Networks are proposed to address the CNNs limitations. In this study, for the first time, an optimized capsule-based network for object segmentation called SegCaps is proposed to achieve accurate LV segmentation on echocardiography images applied to the CAMUS dataset. The result was compared against the standard 2D-UNet. The modified SegCaps and 2D-UNet achieved an average Dice similarity coefficient (DSC) of 84.48% and 83.28% on LV segmentation, respectively. The capabilities of the CapsNet led to an improvement of 1.44% in DSC with 92.77% fewer parameters than the U-Net. The results indicate that the proposed method leads to accurate and efficient LV *** Relevance— From a clinical point of view, our findings lead to more precise evaluations of critical cardiac parameters, including ejection fraction as well as left ventricle volume at end-diastole and end-systole.

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Next-Generation Prosthetic Hand:from Biomimetic to Biorealistic

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Research 2021年第1期2021卷 222-225页

作者： Ning Lan Manzhao Hao Chuanxin MNiu He Cui Yu Wang Ting Zhang Peng Fang Chih-hong Chou Institute of Medical Robotics Shanghai Jiao Tong UniversityShanghaiChina Laboratory of Neurorehabilitation Engineering School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina Department of Rehabilitation Medicine Ruijin HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Center for Excellence in Brain Science and Intelligent Technology Chinese Academy of SciencesShanghaiChina School of Biological Science and Medical Engineering Beihang UniversityBeijingChina Beijing Advanced Innovation Center for Biomedical Engineering School of Biological Science and Medical EngineeringBeihang UniversityBeijingChina i-lab Key Laboratory of Multifunctional Nanomaterials and Smart SystemsSuzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhouChina Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhenChina

Integrating a prosthetic hand to amputees with seamless neural compatibility presents a grand challenge to neuroscientists and neural engineers for more than half *** anatomical structure or appearance of human hand does not lead to improved neural connectivity to the sensorimotor system of *** functions of modern prosthetic hands do not match the dexterity of human hand due primarily to lack of sensory awareness and compliant ***,progress in restoring sensory feedback has marked a significant step forward in improving neural continuity of sensory information from prosthetic hands to ***,little effort has been made to replicate the compliant property of biological muscle when actuating prosthetic ***,a full-fledged biorealistic approach to designing prosthetic hands has not been contemplated in neuroprosthetic *** this perspective article,we advance a novel view that a prosthetic hand can be integrated harmoniously with amputees only if neural compatibility to the sensorimotor system is *** ongoing research supports that the next-generation prosthetic hand must incorporate biologically realistic actuation,sensing,and reflex functions in order to fully attain neural compatibility.

关键词： neural compatibility primarily

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Gesture Control Method for Oral Blood Mixed Liquid Removal Robot∗ 5

Gesture Control Method for Oral Blood Mixed Liquid Removal R...

引用

5th World Robot Conference Symposium on Advanced robotics and Automation, WRC SARA 2023

作者： Ma, Xudong Kuang, Ziao Li, Han Chen, Anqi Li, Changsheng Liu, Wenyong Wang, Junchen Hu, Yida David Gao, Li Su, Bai-Quan Beijing University of Posts and Tele-communications Medical Robotics Laboratory School of Automation Beijing100876 China Beijing University of Posts and Tele-communications School of Computer Beijing100876 China Beijing Institute of Technology School of Mechatronical Engineering Beijing100081 China Beihang University Key Laboratory for Biomechanics and Mechanobiology of Chinese Education Ministry Beijing Advanced Innovation Centre for Biomedical Engineering School of Biological Science and Medical Engineering Beijing100083 China Beihang University School of Mechanical Engineering and Automation Beijing100083 China Brigham and Women's Hospital Harvard Medical School BostonMA02115 United States Peking University School and Hospital of Stomatology National Clinical Research Center for Oral Diseases National Stomatological Center Department of Periodontology Beijing China

ISBN: (纸本)9798350307320

All of oral surgeries are accompanied by bleeding. Manual removal of blood is carried out by a nurse and dozens of repetitive blood suction operations are implemented by the nurse during a single oral surgery. In our previous work, a robot for removal of blood-water mixed liquid is designed. However, the robot requires an initial order to autonomous removal of blood mixed liquid. In this paper, a hand gesture control method for typical operations of the robot is developed. Gesture dataset are developed at first and a deep learning neural network is trained for detection of hand gesture. The gesture control procedures for four typical operations are provided in detail. In a group of experiments, it's demonstrated that an oral surgeon controls the robot's motion by presenting prescribed hand gesture. The proposed method could be an alternative manner for blood mixed liquid removal. © 2023 IEEE.

关键词： Blood

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