• Title/Summary/Keyword: Medical Robotics

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An Implementation of Discrete Mathematical Model for ECG waveform

  • Yimman, Surapun;Deeudom, Mongkon;Ittisariyanon, Jirawat;Junnapiya, Somyot;Dejhan, Kobchai
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.852-856
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    • 2005
  • This paper proposes a new design of the ECG simulator with high resolution by using small amount of memories based on discrete least square estimation equations instead of reading the stored data inside the look-up table. The experimental results have shown that the ECG simulator using discrete least square estimation equations can display the bipolar limb leads ECG signals with low PRD (percent root-mean-square difference) while taking the less amount of memories than the previous method which used the look-up table to store ECG data for ECG simulation.

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Development of Stereo PACS Viewer for the 3-D Endoscopic Image

  • Kim, Jeonghoon;Lee, Junyoung;Lee, Sungjae;Lee, Myoungho
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.181.2-181
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    • 2001
  • Stereo PACS (Picture Archiving and Communication System) is not available yet because of some limitations of medical stereo image software and viewing devices. As a stereo PACS viewer, we designed two functions. One is selecting and viewing a multiplexed stereo image directly, and the other is selecting a stereo pair image (left and right sides both) and merging the stereo pair image into a multiplexed image in software. For the medical image compression of 3-D stereo endoscopic images, we used JPEG and Wavelet compression and to determine an acceptable compression rate using PSNR (Peak Signal-to-Noise Ratio). As a result, we got the conclusion that medically acceptable image compression rate should have the PSNR of above about 40[dB] (JPEG (5:1), Wavelet (10:1)).

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Measurement of Noise and Speed in the EMR using Power Line Network

  • Song, Yong-soo;Yoon, Sung-Won;Cho, Young-Bin;Lee, Chung-Keun;Min, Se-Dong;Nam SuK Bang;Lee, Myung-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.58-58
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    • 2002
  • Recently Many technologies of the P.L.N (Power Line Network) are introduced for an efficient communication. P.L.N transmits information using power line channel. A medical information transmission system is proposed in this paper for the effective transmission. The Power Line Networks have an advantage in low cost because it uses existent power line. It can be easily applied anywhere that a power line socket is available. But the power line channel is very noisy, because many electronic devices in generate electronic noise in modulated signals. This problem should be considered carefully in the design of medical information transmission system using P.L.N. The proposed system can be applied...I propose a telemedicine system using the power line network.

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Transoral Laser and Robotic Surgery (경구강 레이저 및 로봇 수술)

  • Roh, Jong-Lyel;Ryu, Chang Hwan
    • Korean Journal of Bronchoesophagology
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    • v.17 no.1
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    • pp.29-34
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    • 2011
  • Traditionally, the main strategy of treatment of the head and neck cancer was en bloc resection including adjacent normal tissues through wide incision. However, the procedures may leave severe functional deficit such as swallowing difficulty, aspiration, and wide neck scar. Therefore, many attempts have been made up to minimize these morbidities. Of them, the minimal invasive approach such as transoral laser microsurgery (TLM) and transoral robot surgery (TORS) have been spolighted as a sensible strategy for organ preservation of the head and neck cancer patients. Results of TLM are equivalent to those obtained by conventional surgery, with considerably less morbidity, less hospital time and better postoperative function. Oncologic results of TLM are equivalent to conventional surgery. TORS are safe, feasible, and promising but oncologic safety is not yet verified. This article covers to current application of TLM and TORS, their advantages and limitations, and future direction.

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A Design and Implement of the Medical Nd:YAG Laser Firmware under in ZCC method

  • Kim, Whi-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.40.3-40
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    • 2001
  • The pulsed Nd:YAG laser is the most commonly used type of solid-state laser in many fields. In material processing and medical treatment, the power density control of a laser beam Considered to be significant, which depends on the flashlamp current pulse width and pulse repetition rate. For general laser power supply to control the laser power density, the secondary of the power transformer is connected to the rectifier and filter capacitor. The output of a rectifier is applied to a switching element in the secondary of the transformer. So power supply is complicated and the loss of switching is considerably. In addition, according to increasing pulse repetition rate, charged energy of energy-storage capacitor bank is not transferred sufficiently to flashlamp, and laser output efficiency decreases. In this study, we have ...

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Research Trend Analysis by using Text-Mining Techniques on the Convergence Studies of AI and Healthcare Technologies (텍스트 마이닝 기법을 활용한 인공지능과 헬스케어 융·복합 분야 연구동향 분석)

  • Yoon, Jee-Eun;Suh, Chang-Jin
    • Journal of Information Technology Services
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    • v.18 no.2
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    • pp.123-141
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    • 2019
  • The goal of this study is to review the major research trend on the convergence studies of AI and healthcare technologies. For the study, 15,260 English articles on AI and healthcare related topics were collected from Scopus for 55 years from 1963, and text mining techniques were conducted. As a result, seven key research topics were defined : "AI for Clinical Decision Support System (CDSS)", "AI for Medical Image", "Internet of Healthcare Things (IoHT)", "Big Data Analytics in Healthcare", "Medical Robotics", "Blockchain in Healthcare", and "Evidence Based Medicine (EBM)". The result of this study can be utilized to set up and develop the appropriate healthcare R&D strategies for the researchers and government. In this study, text mining techniques such as Text Analysis, Frequency Analysis, Topic Modeling on LDA (Latent Dirichlet Allocation), Word Cloud, and Ego Network Analysis were conducted.

Total robotic right hepatectomy for multifocal hepatocellular carcinoma using vessel sealer

  • Peeyush Varshney;Vaibhav Kumar Varshney
    • Annals of Hepato-Biliary-Pancreatic Surgery
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    • v.27 no.1
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    • pp.95-101
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    • 2023
  • Rapid adoption of a robotic approach as a minimally invasive surgery tool has enabled surgeons to perform more complex hepatobiliary surgeries than conventional laparoscopic surgery. Although various types of liver resections have been performed robotically, parenchymal transection is challenging as commonly used instruments (Cavitron Ultrasonic Surgical Aspirator [CUSA] and Harmonic) lack articulation. Further, CUSA also requires a patient-side assistant surgeon with hepatobiliary laparoscopic skills. We present a case report of total robotic right hepatectomy for multifocal hepatocellular carcinoma in a 70-year-old male using 'Vessel Sealer' for parenchymal transection. Total operative time was 520 minutes with a blood loss of ~400 mL. There was no technical difficulty or instrument failure encountered during surgery. The patient was discharged on postoperative day five without any significant complications such as bile leak. Thus, Vessel Sealer, a fully articulating instrument intended to seal vessels and tissues up to 7 mm, can be a promising tool for parenchymal transection in a robotic surgery.

Development of Wearable Body Weight Support System to Reduce Muscle Activity in Various Upright Tasks (다양한 직립 작업의 근육 활성도 경감을 위한 착용형 체중지지 시스템 개발)

  • Kim, Hwang-Guen;Pyo, Sang-Hun;Lee, Ho-Su;Yoon, Jung-Won
    • The Journal of Korea Robotics Society
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    • v.12 no.2
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    • pp.132-143
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    • 2017
  • While working in an industrial environment which requires extended periods of upright posture; workers tend to develop muscle fatigue due to the constant load on lower-limb muscles. In addition, when working while bending knees; muscle fatigue of lower back and hamstrings is increased due to the abnormal posture. This can lead to damage of muscles, induce musculoskeletal disorders, and reduce long-term working efficiency. Recent medical studies have shown that long-term working in an upright posture can induce musculoskeletal disorders such as foot fatigue, edema, pain and varicose veins. Likewise, medical and rehabilitation expenses have grown due to the increase in musculoskeletal conditions suffered by workers. For this problem, we aim to develop a device that can reduce the physical fatigue on the lower limbs by supporting the weight of workers during the extended periods of upright and bending postures in the industrial environments. In this paper, we have designed and manufactured a wearable weight support system; with a user intention algorithm that the users can maintain various postures. For validation of the developed system, we measured the muscle activity of the users wearing the system with EMG sensors.

Cancer-Subtype Classification Based on Gene Expression Data (유전자 발현 데이터를 이용한 암의 유형 분류 기법)

  • Cho Ji-Hoon;Lee Dongkwon;Lee Min-Young;Lee In-Beum
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.12
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    • pp.1172-1180
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    • 2004
  • Recently, the gene expression data, product of high-throughput technology, appeared in earnest and the studies related with it (so-called bioinformatics) occupied an important position in the field of biological and medical research. The microarray is a revolutionary technology which enables us to monitor several thousands of genes simultaneously and thus to gain an insight into the phenomena in the human body (e.g. the mechanism of cancer progression) at the molecular level. To obtain useful information from such gene expression measurements, it is essential to analyze the data with appropriate techniques. However the high-dimensionality of the data can bring about some problems such as curse of dimensionality and singularity problem of matrix computation, and hence makes it difficult to apply conventional data analysis methods. Therefore, the development of method which can effectively treat the data becomes a challenging issue in the field of computational biology. This research focuses on the gene selection and classification for cancer subtype discrimination based on gene expression (microarray) data.

An embedded vision system based on an analog VLSI Optical Flow vision sensor

  • Becanovic, Vlatako;Matsuo, Takayuki;Stocker, Alan A.
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.285-288
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    • 2005
  • We propose a novel programmable miniature vision module based on a custom designed analog VLSI (aVLSI) chip. The vision module consists of the optical flow vision sensor embedded with commercial off-the-shelves digital hardware; in our case is the Intel XScale PXA270 processor enforced with a programmable gate array device. The aVLSI sensor provides gray-scale imager data as well as smooth optical flow estimates, thus each pixel gives a triplet of information that can be continuously read out as three independent images. The particular computational architecture of the custom designed sensor, which is fully parallel and also analog, allows for efficient real-time estimations of the smooth optical flow. The Intel XScale PXA270 controls the sensor read-out and furthermore allows, together with the programmable gate array, for additional higher level processing of the intensity image and optical flow data. It also provides the necessary standard interface such that the module can be easily programmed and integrated into different vision systems, or even form a complete stand-alone vision system itself. The low power consumption, small size and flexible interface of the proposed vision module suggests that it could be particularly well suited as a vision system in an autonomous robotics platform and especially well suited for educational projects in the robotic sciences.

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