• Title/Summary/Keyword: Medical robot

Search Result 211, Processing Time 0.032 seconds

The Control System of a Medical Robot Bed for Prevention and Healing of Pressure Ulcer (욕창 예방 및 치유를 위한 의료용 로봇 침대 제어 시스템)

  • Lee, Youngdae;Kim, Changyoung;Chang, Changjun;Kim, Jung Ae;Lim, Jae-Young
    • The Journal of the Convergence on Culture Technology
    • /
    • v.6 no.3
    • /
    • pp.353-359
    • /
    • 2020
  • In this study, the controller structure and control algorithm of medical robot bed developed for pressure ulcer prevention and healing are described. The existing pressure ulcer prevention mattress is operated manually and the remaining maximum body pressure exceeds the pressure of ulcer generation, so there is always room for pressure ulcers. However, the system developed in this study does not generate the pressure ulcers because the body pressure drops to zero when the keyboard of the bed descends using the active electric driving keyboard. In addition, even if the bed is raised and the pressure above the critical body ulcer pressure is abnormal, the device and the control algorithm are designed so that the lasting time is within the pressure ulcer generation critical time and the pressure ulcer itself is not generated. The bed key board motor is a motor designed with the BLDC servos suitable for medical use and these can communicate each other easily through CAN(Car Area Network). The system is new medical robot bed that is effective in preventing pressure ulcers and will be distributed to many patients suffering from pressure ulcers.

Short-term Effect of Robot-assisted Therapy on Arm Reaching in Subacute Stroke Patients (상지로봇치료가 아급성기 뇌졸중 환자의 팔뻗기 움직임에 미치는 단기 효과)

  • Hong, Won-Jin;Kim, Yong-Wook;Kim, Jongbae;Park, Ji-Hyuk
    • Therapeutic Science for Rehabilitation
    • /
    • v.7 no.4
    • /
    • pp.79-91
    • /
    • 2018
  • Objective : The purpose of this study was to investigate the short-term effect of robot-assisted therapy to improve upper extremity function in subacute stroke. Method : This study was a retrospective study using the medical record. The subjects were 20 patients who were diagnosis with stroke within 6 months. All patients received general rehabilitation intervention during the experimental period and robot-assisted therapy and task-oriented training. Robot assisted therapy was composed of 1 sessions, 1hour per person and task-oriented training was same. For result analysis, descriptive statistics, paired t-test were used. Results : After intervention, all participants got 3D motion analysis about reaching. For the result, there was statistically significant improvement in smoothness in robot assisted therapy(p<.05). there was no statistically significant difference between robot assisted therapy and task-oriented training in speed, time. In this result, we knew the robot assisted therapy can short term effect in elbow joint during arm reaching. Conclusion : Robot assisted therapy is considered as alternative choice in clinical occupational therapy for improving upper extremity function in subacute stage stroke patients.

A Study on Applying Guidance Laws in Developing Algorithm which Enables Robot Arm to Trace 3D Coordinates Derived from Brain Signal (로봇 팔의 뇌 신호로부터 유도된 3D 좌표 추적을 위한 Guidance Law 적용에 관한 연구)

  • Kim, Y.J.;Park, S.W.;Kim, W.S.;Yeom, H.G.;Seo, H.G.;Lee, Y.W.;Bang, M.S.;Chung, C.K.;Oh, B.M.;Kim, J.S.;Kim, Y.;Kim, S.
    • Journal of Biomedical Engineering Research
    • /
    • v.35 no.3
    • /
    • pp.50-54
    • /
    • 2014
  • It is being tried to control robot arm using brain signal in the field of brain-machine interface (BMI). This study is focused on applying guidance laws for efficient robot arm control using 3D coordinates obtained from Magnetoencephalography (MEG) signal which represents movement of upper limb. The 3D coordinates obtained from brain signal is inappropriate to be used directly because of the spatial difference between human upper limb and robot arm's end-effector. The spatial difference makes the robot arm to be controlled from a third-person point of view with assist of visual feedback. To resolve this inconvenience, guidance laws which are frequently used for tactical ballistic missile are applied. It could be applied for the users to control robot arm from a first-person point of view which is expected to be more comfortable. The algorithm which enables robot arm to trace MEG signal is provided in this study. The algorithm is simulated and applied to 6-DOF robot arm for verification. The result was satisfactory and demonstrated a possibility in decreasing the training period and increasing the rate of success for certain tasks such as gripping object.

Development of Abdominal Compression Belt and Evaluation of the Efficiency for the Reduction of Respiratory Motion in SBRT (체부 정위방사선치료 시 호흡운동 감소를 위한 복부 압박기구 개발 및 유용성 평가)

  • Hwang, Seon-Bung;Kim, Il-Hwan;Kim, Woong;Im, Hyeong-Seo;Gang, Jin-Mook;Jeong, Seong-Min;Kim, Gi-Hwan;Lee, Ah-Ram;Cho, Yu-Ra
    • The Journal of Korean Society for Radiation Therapy
    • /
    • v.23 no.1
    • /
    • pp.13-19
    • /
    • 2011
  • Purpose: It's essential to minimize the tumor motion and identify the exact location of the lesions to achieve the improvement in radiation therapy efficiency during SBRT. In this study, we made the established compression belt to reduce respiratory motion and evaluated the usefulness of clinical application in SBRT. Materials and Methods: We analyzed the merits and demerits of the established compression belt to reduce the respiratory motion and improved the reproducibility and precision in use. To evaluate the usefulness of improved compression belt for respiratory motion reduction in SBRT, firstly, we reviewed the spiral CT images acquired in inspiration and expiration states of 8 lung cancer cases, respectively, and analyzed the three dimensional tumor motion related to respiration. To evaluate isodose distribution, secondly, we also made the special phantom using EBT2 film (Gafchronic, ISP, USA) and we prepared the robot (Cartesian Robot-2 Axis, FARARCM4H, Samsung Mechatronics, Korea) to reproduce three dimensional tumor motion. And analysis was made for isodose curves and two dimensional isodose profiles with reproducibility of respiratory motion on the basis of CT images. Results: A respiratory motion reduction compression belt (Velcro type) that has convenient use and good reproducibility was developed. The moving differences of three dimensional tumor motion of lung cancer cases analyzed by CT images were mean 3.2 mm, 4.3 mm and 13 mm each in LR, AP and CC directions. The result of characteristic change in dose distribution using the phantom and rectangular coordinates robot showed that the distortion of isodose has great differences, mean length was 4.2 mm; the differences were 8.0% and 16.8% each for cranio-caudal and 8.1% and 10.9% each for left-right directions in underdose below the prescribed dose. Conclusion: In this study, we could develop the convenient and efficient compression belt that can make the organs' motion minimize. With this compression belt, we confirmed that underdose due to respiration can be coped with when CTV-PTV margins of mean 6 mm would be used. And we conclude that the respiratory motion reduction compression belt we developed can be used for clinical effective aids along with the gating system.

  • PDF

Robot Development Trend and Prospect (신 성장동력의 로봇개발 동향과 전망)

  • Kim, Sung Woo
    • Convergence Security Journal
    • /
    • v.17 no.2
    • /
    • pp.153-158
    • /
    • 2017
  • The robot imitates humans and recognizes the external environment and judges the situation. The robot is a machine that operates autonomously. Robots are divided into manufacturing robots and service robots. Service robots are classified as professional service robots and personal service robots. Because of the intensified competition of productivity in manufacturing industries, rising safety issues, low birth rate and aging, the robots industry is emerging. Recently, the robot industry is a complex of advanced technology fields, and it is attracting attention as a new industry where innovation potential and growth potential are promising. IT, BT, and NT related elements are fused and implemented, and the ripple effect is very large. Due to changes in social structure and life patterns, social interest in life extension and health is increasing. There is much interest in the medical field. Now the artificial intelligence (AI) industry is growing rapidly. It is necessary to secure global competitiveness through strengthening cooperation between large and small companies. We must combine R&D investment capability and marketing capability, which are advantages of large corporations, and robotic technology. We need to establish a cooperative model and secure global competitiveness through M&A.

Long-term Effect of Robot-assisted Step Training on the Strength of the Lower Extremity and Gait Speed in a Chronic Stroke Patient: A Preliminary Study (장기간의 로봇 보조 스텝훈련이 만성 뇌졸중 환자의 하지 근력과 보행속도에 미치는 영향: 예비 연구)

  • Se-Jung, Oh;Yong-Jun, Cha;Jongseok, Hwang
    • Journal of the Korean Society of Physical Medicine
    • /
    • v.17 no.4
    • /
    • pp.65-73
    • /
    • 2022
  • PURPOSE: The present research examined the effects of progressive robot-assisted step training on the strength of the lower extremity and gait speed of an individual with stroke through changes between the baseline and the intervention stage (1, 3, 6, 9, and 12 months). METHODS: A single-subject (A-B) design was performed for a chronic stroke patient aged 70 years old. The robot-assisted step training was conducted three times a week during 12 months (40 minutes/session), and the assessment was conducted a total of seven times between the baseline and the intervention (No. 1, 3, 6, 9, and 12 months) to determine the effect of the intervention. RESULTS: As a result of the intervention, the muscle strength at the lower extremity of the paralysis side increased by the greatest extent 12 months after the intervention compared to the baseline, and the gait speed via the 10-meter walk test was increased as well. CONCLUSION: Long-term robot-assisted step training might be an effective intervention for improving the strength of the paretic lower extremity muscles and gait speed in stroke patients with difficulty walking independently. Further studies with sufficient sample sizes and a randomized control group will be needed to evaluate the long-term effects of robotic stepping rehabilitation.

Clinical Study on the Floating and Sinking Pulse Detection with Piezoresistive Sensors and Contact Pressure Control Robot (압저항 센서와 가압조절 로봇을 이용한 부침맥 검출에 관한 임상연구)

  • Lee Si-Woo;Lee Yu-Jung;Lee Hae-Jung;Kang Hee-Jung;Kim Jong-Yeol
    • Journal of Physiology & Pathology in Korean Medicine
    • /
    • v.19 no.6
    • /
    • pp.1673-1675
    • /
    • 2005
  • The pulse diagnosis is an important and universal method in Oriental medicine. Nevertheless, because of characteristic that depends on subjective sense of Oriental medicine doctor (OMD), it is not recognized by objective basis. The Korean Institute of Oriental Medicine(KIOM) and Daeyo Medi. Co. Ltd. developed the 3-D Mac using arrey piezoresistive sensors and multi-axial robot. 133 healthy subjects participated in this study, 75 males and 58 females, between 20 and 70 years of age. All subjects were relaxed in a supine position on a comfortable chair for twenty minutes before the measurement was taken. The measured position is the radial artery of subject's left wrist and the position is called Chon, Kwan and Chuck in Oriental medicine. To detect floating and sinking pulse, we established coefficient of floating and sinking(CFS). CFS means relative position of maximum pulse pressure in PH curve. The lower CFS value means that the pulse has floating tendency. There was significant diffence between CFS and diagnosis of floating-sinking pulse by OMD(p=0.020). CFS value of over 40's group was significantly larger than those of 20's and 30's(p=0.000). There was no significant difference between male and female(p=0.061).

B-COV:Bio-inspired Virtual Interaction for 3D Articulated Robotic Arm for Post-stroke Rehabilitation during Pandemic of COVID-19

  • Allehaibi, Khalid Hamid Salman;Basori, Ahmad Hoirul;Albaqami, Nasser Nammas
    • International Journal of Computer Science & Network Security
    • /
    • v.21 no.2
    • /
    • pp.110-119
    • /
    • 2021
  • The Coronavirus or COVID-19 is contagiousness virus that infected almost every single part of the world. This pandemic forced a major country did lockdown and stay at a home policy to reduce virus spread and the number of victims. Interactions between humans and robots form a popular subject of research worldwide. In medical robotics, the primary challenge is to implement natural interactions between robots and human users. Human communication consists of dynamic processes that involve joint attention and attracting each other. Coordinated care involves sharing among agents of behaviours, events, interests, and contexts in the world from time to time. The robotics arm is an expensive and complicated system because robot simulators are widely used instead of for rehabilitation purposes in medicine. Interaction in natural ways is necessary for disabled persons to work with the robot simulator. This article proposes a low-cost rehabilitation system by building an arm gesture tracking system based on a depth camera that can capture and interpret human gestures and use them as interactive commands for a robot simulator to perform specific tasks on the 3D block. The results show that the proposed system can help patients control the rotation and movement of the 3D arm using their hands. The pilot testing with healthy subjects yielded encouraging results. They could synchronize their actions with a 3D robotic arm to perform several repetitive tasks and exerting 19920 J of energy (kg.m2.S-2). The average of consumed energy mentioned before is in medium scale. Therefore, we relate this energy with rehabilitation performance as an initial stage and can be improved further with extra repetitive exercise to speed up the recovery process.

A Study on Object Recognition for Safe Operation of Hospital Logistics Robot Based on IoT (IoT 기반의 병원용 물류 로봇의 안전한 운행을 위한 장애물 인식에 관한 연구)

  • Kang, Min-soo;Ihm, Chunhwa;Lee, Jaeyeon;Choi, Eun-Hye;Lee, Sang Kwang
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.17 no.2
    • /
    • pp.141-146
    • /
    • 2017
  • New infectious diseases such as MERS have been in need of many measures such as initial discovery, isolation, and crisis response. In addition, the culture of hospitals is changing, such as the general public 's visiting and Nursing Care Integration Services. However, as the qualifications and regulations of medical personnel in hospitals become rigid, overseas such as linens, wastes movements are replacing possible works with robots. we have developed a hospital logistics robot that can carry out various goods delivery within a hospital, and can move various kinds of objects safely to a desired location. In this thesis, we have studied a hospital logistics robot that can carry out various kinds of goods delivery within the hospital, and can move various kinds of objects such as waste, and linen safely to a desired location. The movement of a robot in a hospital may cause a collision between a person and an object, so that the collision must be prevented. In order to prevent collision, it is necessary to recognize whether or not an object exists in the movement path of the robot. And if there is an object, it should recognize whether it moves or not. In order to recognize human beings and objects, we recognize the person with face/body recognition technology and generate the context awareness of the object using 3D Vision image segmentation technology. We use the generated information to create a map that considers objects and person in the robot moving range. Thus, the robot can be operated safely and efficiently.