• 제목/요약/키워드: Assist device

검색결과 273건 처리시간 0.03초

근육 강성도 힘 피드백을 이용한 하지 보조기의 무릎 신전 운동 보조 특성 분석 (Analysis on the Assist Characteristics for the Knee Extension Motion of Lower Limb Orthosis Using Muscular Stiffness Force Feedback)

  • 김경;강승록;정구영;주수종;김남균;권대규
    • 대한의용생체공학회:의공학회지
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    • 제31권3호
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    • pp.217-226
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    • 2010
  • The lower limb orthosis with a pneumatic rubber actuator, which is intended for the assistance and the enhancement of muscular activities of lower limbs was developed in this study. Compared to other knee extension assistive devices being developed by other researchers, our device is designed especially for the elderly people and intended only for slight assistance so that the subjects can keep their muscular strength. For the effectiveness of system, muscular activities of major muscles in lower limbs during sit-to-stand (STS) and squat motion were measured and analyzed. Subjects were performed the STS and squat motion with and without lower limb orthosis. We made comparison muscular activities between with and without lower limb orthosis. Lower limb orthosis was controlled using muscular stiffness force feedback that is controlled by muscular activities of the measured muscle from force sensor. For analysis of muscular activities, electromyography of the subjects was measured during STS and squat motion, and these were measured using MP 150(BIOPAC Systems, Inc.). Muscles of interest were rectus femoris(RF), vastus lateralis(VL), vastus medialis(VM) and vastus intermedius(VI) muscles in lower limbs of the right side. A biodex dynamometer was used to measure the maximal concentric isokinetic strength of the knee extensors of wearing and not wearing orthosis on right side. The test were performed using the concentric isokinetic mode of test with the velocity set at 60°/s for muscles around the knee joints. The experimental result showed that muscular activities in lower limbs wearing orthosis using muscular stiffness force of a vastus medialis muscle was reduced and knee extension torque of an knee joint wearing lower limb orthosis was increased. With this, we confirmed the effectiveness of the developed lower limb orthosis.

흉부외과 진료통계( II ) -1992년- (Annual report of thoracic and cardiovascular surgery in Korea [II])

  • Sun, Kyung;Kwak, Young-Tae;Kim, Hyoung-Mook
    • Journal of Chest Surgery
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    • 제26권3호
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    • pp.163-169
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    • 1993
  • This is the result of the annual statistic analysis of thoracic and cardiovascular surgical cases in 1992 Korea. Overall 17, 520 cases of surgery [11, 732 cases of thoracic surgery by 54 institutes / 5, 788 cases of cardiovascular surgery by 48 institutes] were done. 1. Tumor [N=2, 532] : Lung was the most frequently involved organ by tumor [54.9%],and the remainders were mediastinum [16.2%] / esophagus [14.8%] / chest wall [11.7%] / tracheobronchus [1.3%] / pleura [1.1%] in order. Of 1, 082 cases of primary lung cancer surgery,the frequency of cell type was squamous [62.6%] / adeno [21.6%] / small cell [7.1%] / large cell [2.7%]. Of 411 cases of mediastinal tumor surgery,the frequency of cell type was neurogenic [28.8%] / thymoma [27.6%] / teratoma [17.7%] / congenital cystic [17.2%]. Of 376 cases of esophageal tumor surgery,primary cancer were the most [85.4%]. 2. Infection [N=3, 157] : Pleura was the most frequently involved organ [59.0%],and the remainders were lung [31.3%] / chest wall [8.6%] / mediastinum [1.1%] in order. 3. Miscellaneous [N=6, 043] : Lung and pleural disease esp. pneumothorax [85.1%] was the most frequent surgical indication. The remainders were chest wall anomaly [3.4%] / benign esophageal disease [3.4%] / diaphragmatic pathology [2.4%] / myasthenia [1.4%] in order. Of 85 cases of thymectomy for myasthenia gravis,thymoma was noted in 58.8%. 1. Congenital heart disease [N=3, 363] : The ratio of noncyanotic to cyanotic heart disease was 3:1. Of 2, 516 cases of noncyanotic heart disease,the frequency of disease entity was VSD [44.1%] / ASD [26.0%] / PDA [19.4%] / PS [3.3%],and that of 847 cases of cyanotic heart disease was TOF [29.4%] / ECD [15.6%] / TGA [9.7%] / DORV [7.6%]. Overall mortalities were 2.1% in noncyanotic and 12.2% in cyanotic heart surgery. 2. Acquired heart disease [N=1, 929] : Of 1, 422 cases of valvular surgery,single mitral pathology was the most frequent candidate [48.0%],and total 1, 574 prosthetic valves which were mainly mechanical [95.6%] were used. Of 376 cases of coronary surgery,triple vessel was the most [35.9%],and the frequency of bypassing grafts was great saphenous vein [52.9%] / internal mammary artery [44.7%] / artificial vessel [2.4%]. Overall mortalities were 3.4% in valvular and 4.5% in coronary surgery. 3. Pericardium,Cardiac tumor,Arrhythmia,Aortic aneurysm,Assist device,and Pacemaker : There were no specific changes compared to previous survey1]. This nation-wide inquiry will be continued and reported annually by KTCS Society.

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디지털 X-선 영상을 통한 치아우식증 진단 보조 시스템으로써 치아 와동 자동 검출 프로그램 연구 (Studies of Automatic Dental Cavity Detection System as an Auxiliary Tool for Diagnosis of Dental Caries in Digital X-ray Image)

  • 허장용;남혜원;김주혜;박지만;신석영;이레나
    • 한국의학물리학회지:의학물리
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    • 제26권1호
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    • pp.52-58
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    • 2015
  • 본 연구팀이 개발한 신개념 강내형 치과 진단 장치에서 촬영한 X선 치아영상으로부터 치아 우식증을 조기 단계에서 판별하고 치과의사의 정확한 진단을 돕기 위해서 병변진단 보조시스템인 치아 와동 자동 검출 프로그램을 개발하고자 하였다. 치아 와동 자동 검출 시스템을 구성하고 있는 기본 알고리즘은 치아 와동과 정상 치아를 구분 할 수 있는 영상분별 알고리즘과 치아 영상의 고유 특성 정보를 분석하고 이를 병변 검출에 적용할 수 있는 알고리즘으로 나눌 수가 있는데, 본 연구에서는 먼저, DRLSE 방법을 적용하여 병변과 정상치아 사이의 윤곽선 분할 성능을 테스트 하였다. 개발된 알고리즘의 와식 판별 성능을 테스트하기 위해서 다양한 형태의 와식을 포함하는 전치, 견치, 소구치 등의 7개의 치아팬텀을 제작하고 치아 와식 분별을 실시하였다. 총 14 개의 와식 중에 와식의 경계를 부분적으로 식별한 2개를 제외하고는 12개 와식의 경계를 정확하게 구별하여 개발된 자동 치아 병변 알고리즘의 가능성을 입증하였다. 그러나 실제 치아 와식의 형태는 개개인마다 다르고 복잡하기 때문에 무작위로 선택된 실제 치아에 적용하기 위해서는 보강된 알고리즘이 필요하다. 향후에는 치아에 대한 사전정보를 처리하고 적용하는 패턴 인식 혹은 기계학습 알고리즘을 추가하여 보다 효과적이고 정확한 병변 알고리즘으로 개선할 예정이다.

인공신경망을 이용한 기계식 판막의 생체외 모의 혈전현상 검출 (In-Vitro Thrombosis Detection of Mechanical Valve using Artificial Neural Network)

  • 이혁수;이상훈
    • 대한의용생체공학회:의공학회지
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    • 제18권4호
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    • pp.429-438
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    • 1997
  • 기계식 판막은 매몰식 인공장기에 널리 사용돼 왔으며, 판막의 이상은 환자의 죽음으르 의미한다. 판막의 이상에 영향을 미치는 것은 많은 요소들이 있는데 대표적으로 기계적인 고장과 혈전현상이 있다. 그래서 비침습적으로 이것들을 발견하는 것이 필요하게 된 것이다. 이 논문의 목적은 스펙트럼의 해석과 인공신경망을 이용하여 혈전현상을 발견하는데 있다. 신호의 측정은 공압식 좌심실 보조장치에 장착한 기계식 판막으로부터 마이크로폰과 증폭기를 이용하였다. 디스크 위의 모의 혈전현상과 봉합링의 주위에 혈전현상, 20%, 40% 60%로 자라나는 혈전현상은 펠레세인과 실리콘을 이용하여 제작하였다. 기초 성능 평가를 위해 1KHz 정현파를 인가하여 시스템을 평가하였으며, 정상적인 판막과 5 종류의 혈전현상의 스펙트럼은 혈전현상의 정보를 지닌 개폐시 peak의 신호 파형에서 구하였다. 데이터의 정량적인 해석을 위해 7,000개의 입력 노드와 20개의 은닉층과 1개의 출력층으로 이루어진 인공신경망을 사용하였다. 결론적으로 훈련된 인공신경망을 사용한 결과 정상 판막과 비정상 판막을 판단하는데 90%의 판단능력을 보였다. 이상의 실험을 통해 판막의 이상유무를 신호의 스펙트럼 해석과 인공신경망을 통해 평가할수 있음을 알 수 있었다. 본 논문의 결과는 앞으로 인공장기를 몸속에 지니고 있는 환자에게서 장기의 상태를 지속적으로 감시할 수 있는 기술적 토대를 제공할 것이다.

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Development and Evaluation of Rollator for Elderly Farmers

  • Lee, Kyung Suk;Kim, Kyung Ran;Kim, Hyo Cher;Chae, Hye Seon;Kim, Sung Woo;Seo, Min Tae
    • 대한인간공학회지
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    • 제33권6호
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    • pp.487-497
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    • 2014
  • Objective: This study aims to develop and evaluate a multi-purpose rollator, which may be used as a seat, as a traditional walker, or as a storage basket for elderly farmers. Background: The rollators on the market are not user-friendly designed and seen inconvenient for elderly farmers to use, although they are sold at considerably high price. Since they lack enough space to load stuffs and are not durable or stable enough, they do not seem to be suitable for elderly farmers to use in rural areas. Method: Two types of methods were used in this study. First, the survey consisted of 19 questions was conducted among elderly farmers in rural areas, after using the developed rollator, to evaluate the usability of the rollator developed in this study. Second, EMG experiment was conducted to compare the existing rollator and developed rollator quantitatively. Through this experiment, we tried to verify the differences of muscle responses, when using the traditional and the developed ones, which have their own brake system, in the ramp. Results: The developed rollator was highly evaluated in most of the questions in the usability survey, except for the 'Weight' category in which the opinions were divided into three different types (Worse: 31%, Similar: 30%, Better: 36%). The result of EMG experiment showed that the existing rollator (7.4%MVC) demands more muscle strength than the developed rollator (5.5%MVC) does. By statistically analyzing the results of upper limb and lower limb respectively, we found out that all the muscles except deltoid in upper limb showed statistically significant differences in muscle activity when using the existing and the developed rollator. However, there was no statistical difference in lower limb muscles. Conclusion: The developed rollator in this study has maximized the functionality of the brake system, the storage and the chair, which were pointed out as the weaknesses of existing rollators. Furthermore, the developed rollator is designed to be more user-friendly, safe, durable, and effective for elderly farmers to use in rural areas, where roads are rough and bumpy. Application: We expect that the emergency brake system developed in this study would be utilized for other convenience equipment, such as strollers and carts, and that it would be able to develop and produce more secure and reliable equipment in the future.

폴립 가중치 영상 생성을 통한 캡슐내시경 영상의 학습 성능 비교 연구 (A Study on the Comparison of Learning Performance in Capsule Endoscopy by Generating of PSR-Weigted Image)

  • 임창남;박예슬;이정원
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제8권6호
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    • pp.251-256
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    • 2019
  • 캡슐 내시경은 식도부터 항문까지 소화기관 전체를 한 번에 촬영할 수 있는 의료기기로, 한 번의 검사에서 평균 8~12시간의 길이와 5만장 이상의 프레임으로 구성된 영상을 생성한다. 그러나 생성된 영상에 대한 분석은 전문가에 의해 수작업으로 진행되고 있어서, 질병 영상 진단을 돕기 위한 영상 분석 자동화에 대한 수요가 증가하고 있다. 그 중에서도 본 연구에서는 위장관 내에서 발견될 수 있는 융기성 병변인 폴립 영상 자동 검출에 초점을 맞추었다. 본 연구에서는 멀티 스케일 분석을 통해 폴립 의심 영역을 추출하고, 이것을 원본 영상과 합성하여 폴립 학습을 강화시킬 수 있는 가중치 영상을 생성하는 기법을 제안한다. 수집한 452장의 데이터에 대해 머신 러닝 기법중 하나인 SVM과 RF로 실험한 결과, 원본 영상을 이용한 폴립 검출의 F1점수는 89.3%였지만, 생성된 가중치 영상을 통해 학습한 결과 F1점수가 93.1%로 향상된 것을 확인하였다.

Impact of a Multidisciplinary Team Approach on Extracorporeal Circulatory Life Support-Bridged Heart Transplantation

  • Lee, Jae Jun;Kim, Young Su;Chung, Suryeun;Jeong, Dong Seop;Yang, Ji-Hyuk;Sung, Kiick;Kim, Wook Sung;Jun, Tae-Gook;Cho, Yang Hyun
    • Journal of Chest Surgery
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    • 제54권2호
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    • pp.99-105
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    • 2021
  • Background: The number of heart transplantations (HTx) is increasing annually. Due to advances in medical and surgical support, the outcomes of HTx are also improving. Extracorporeal circulatory life support (ECLS) provides patients with decompensated heart failure a chance to undergo HTx. A medical approach involving collaboration among experienced experts in different fields should improve the outcomes and prognosis of ECLS-bridged HTx. Methods: From December 2003 to December 2018, 1,465 patients received ECLS at Samsung Medical Center. We excluded patients who had not undergone HTx or underwent repeated transplantations. Patients younger than 18 years were excluded. We also excluded patients who received an implantable durable left ventricular assist device before HTx. In total, 91 patients were included in this study. A multidisciplinary team approach began in March 2013 at our hospital. We divided the patients into 2 groups depending on whether they were treated before or after implementation of the team approach. Results: The 30-day mortality rate was significantly higher in the pre-ECLS team group than in the post-ECLS team group (n=5, 18.5% vs. n=2, 3.1%; p=0.023). The 1-year survival rate was better in the post-ECLS team group than in the pre-ECLS team group (n=57, 89.1% vs. n=19, 70.4%; p=0.023). Conclusion: We found that implementing a multidisciplinary team approach improved the outcomes of ECLS-bridged HTx. Team-based care should be adapted at HTx centers that perform high-risk HTx.

Real-World Application of Artificial Intelligence for Detecting Pathologic Gastric Atypia and Neoplastic Lesions

  • Young Hoon Chang;Cheol Min Shin;Hae Dong Lee;Jinbae Park;Jiwoon Jeon;Soo-Jeong Cho;Seung Joo Kang;Jae-Yong Chung;Yu Kyung Jun;Yonghoon Choi;Hyuk Yoon;Young Soo Park;Nayoung Kim;Dong Ho Lee
    • Journal of Gastric Cancer
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    • 제24권3호
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    • pp.327-340
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    • 2024
  • Purpose: Results of initial endoscopic biopsy of gastric lesions often differ from those of the final pathological diagnosis. We evaluated whether an artificial intelligence-based gastric lesion detection and diagnostic system, ENdoscopy as AI-powered Device Computer Aided Diagnosis for Gastroscopy (ENAD CAD-G), could reduce this discrepancy. Materials and Methods: We retrospectively collected 24,948 endoscopic images of early gastric cancers (EGCs), dysplasia, and benign lesions from 9,892 patients who underwent esophagogastroduodenoscopy between 2011 and 2021. The diagnostic performance of ENAD CAD-G was evaluated using the following real-world datasets: patients referred from community clinics with initial biopsy results of atypia (n=154), participants who underwent endoscopic resection for neoplasms (Internal video set, n=140), and participants who underwent endoscopy for screening or suspicion of gastric neoplasm referred from community clinics (External video set, n=296). Results: ENAD CAD-G classified the referred gastric lesions of atypia into EGC (accuracy, 82.47%; 95% confidence interval [CI], 76.46%-88.47%), dysplasia (88.31%; 83.24%-93.39%), and benign lesions (83.12%; 77.20%-89.03%). In the Internal video set, ENAD CAD-G identified dysplasia and EGC with diagnostic accuracies of 88.57% (95% CI, 83.30%-93.84%) and 91.43% (86.79%-96.07%), respectively, compared with an accuracy of 60.71% (52.62%-68.80%) for the initial biopsy results (P<0.001). In the External video set, ENAD CAD-G classified EGC, dysplasia, and benign lesions with diagnostic accuracies of 87.50% (83.73%-91.27%), 90.54% (87.21%-93.87%), and 88.85% (85.27%-92.44%), respectively. Conclusions: ENAD CAD-G is superior to initial biopsy for the detection and diagnosis of gastric lesions that require endoscopic resection. ENAD CAD-G can assist community endoscopists in identifying gastric lesions that require endoscopic resection.

2023 Survey on User Experience of Artificial Intelligence Software in Radiology by the Korean Society of Radiology

  • Eui Jin Hwang;Ji Eun Park;Kyoung Doo Song;Dong Hyun Yang;Kyung Won Kim;June-Goo Lee;Jung Hyun Yoon;Kyunghwa Han;Dong Hyun Kim;Hwiyoung Kim;Chang Min Park;Radiology Imaging Network of Korea for Clinical Research (RINK-CR)
    • Korean Journal of Radiology
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    • 제25권7호
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    • pp.613-622
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    • 2024
  • Objective: In Korea, radiology has been positioned towards the early adoption of artificial intelligence-based software as medical devices (AI-SaMDs); however, little is known about the current usage, implementation, and future needs of AI-SaMDs. We surveyed the current trends and expectations for AI-SaMDs among members of the Korean Society of Radiology (KSR). Materials and Methods: An anonymous and voluntary online survey was open to all KSR members between April 17 and May 15, 2023. The survey was focused on the experiences of using AI-SaMDs, patterns of usage, levels of satisfaction, and expectations regarding the use of AI-SaMDs, including the roles of the industry, government, and KSR regarding the clinical use of AI-SaMDs. Results: Among the 370 respondents (response rate: 7.7% [370/4792]; 340 board-certified radiologists; 210 from academic institutions), 60.3% (223/370) had experience using AI-SaMDs. The two most common use-case of AI-SaMDs among the respondents were lesion detection (82.1%, 183/223), lesion diagnosis/classification (55.2%, 123/223), with the target imaging modalities being plain radiography (62.3%, 139/223), CT (42.6%, 95/223), mammography (29.1%, 65/223), and MRI (28.7%, 64/223). Most users were satisfied with AI-SaMDs (67.6% [115/170, for improvement of patient management] to 85.1% [189/222, for performance]). Regarding the expansion of clinical applications, most respondents expressed a preference for AI-SaMDs to assist in detection/diagnosis (77.0%, 285/370) and to perform automated measurement/quantification (63.5%, 235/370). Most respondents indicated that future development of AI-SaMDs should focus on improving practice efficiency (81.9%, 303/370) and quality (71.4%, 264/370). Overall, 91.9% of the respondents (340/370) agreed that there is a need for education or guidelines driven by the KSR regarding the use of AI-SaMDs. Conclusion: The penetration rate of AI-SaMDs in clinical practice and the corresponding satisfaction levels were high among members of the KSR. Most AI-SaMDs have been used for lesion detection, diagnosis, and classification. Most respondents requested KSR-driven education or guidelines on the use of AI-SaMDs.

빅데이터와 AI를 활용한 의료영상 정보 시스템 발전 방향에 대한 연구 (A Study on the Development Direction of Medical Image Information System Using Big Data and AI)

  • 유세종;한성수;전미향;한만석
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제11권9호
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    • pp.317-322
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    • 2022
  • 정보기술의 급격한 발달은 의료 환경에서도 많은 변화를 가져오고 있다. 특히 빅데이터와 인공지능(AI)을 활용한 의료영상 정보 시스템의 빠른 변화를 견인하고 있다. 전자의무기록(EMR)과 의료영상저장전송시스템(PACS)으로 구성된 처방전달시스템(OCS)은 의료 환경을 아날로그에서 디지털로 빠르게 바꾸어 놓았다. PACS는 여러 솔루션과 결합하여 호환, 보안, 효율성, 자동화 등 새로운 발전 방향을 보여주고 있다. 그 중, 영상의 질적 개선을 할 수 있는 빅데이터를 활용한 인공지능(AI)과의 결합이 활발히 진행되고 있다. 특히 딥러닝 기술을 활용하여 의료 영상 판독을 보조할 수 있는 시스템인 AI PACS가 대학과 산업체의 협력으로 개발되어 병원에서 활용되고 있다. 이처럼 의료 환경에서 의료영상 정보 시스템의 빠른 변화에 맞추어 의료시장의 구조적인 변화와 이에 대처할 수 있는 의료정책의 변화도 필요하다. 한편, 의료영상정보는 디지털 의료영상 전송 장치에서 생성되는 DICOM 방식을 기본으로 하고, 생성하는 방법의 차이에 따라 Volume 영상, 단면 영상인 2차원적 영상으로 구분된다. 또한, 최근 많은 의료기관에서는 스마트 병원 서비스를 내세우며 차세대 통합 의료정보시스템의 도입을 서두르고 있다. 차세대 통합 의료정보시스템은 EMR을 바탕으로 전자동의서, AI와 빅데이터를 활용한 정밀의료, 외부기관 등을 통합한 솔루션으로 구축하며, 이를 바탕으로 환자 정보 DB 구축과 데이터의 표준화를 통한 의료 빅데이터 기반의 의학 연구를 목적으로 한다. 우리나라의 의료영상 정보 시스템은 앞선 IT 기술력과 정부의 정책에 힘입어 세계적인 수준에 있으며, 특히 PACS 관련 프로그램은 의료 영상정보 기술에서 세계로 수출을 하고 있는 한 분야이다. 본 연구에서는 빅데이터를 활용한 의료영상 정보 시스템의 분석과 함께 의료영상 정보 시스템이 국내에 도입되게 된 역사적 배경을 바탕으로 현재의 흐름을 파악하고 나아가 미래의 발전 방향을 예측하였다. 향후, 20여 년 동안 축적된 DICOM 빅데이터를 기반으로 AI, 딥러닝 알고리즘을 활용하여 영상 판독률을 높일 수 있는 연구를 진행하고자 한다.