Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)最新文献_第6页

Are the extrinsic muscles better suited for signaling joint angles or finger tip location? 是外在肌肉更适合指示关节角度还是指尖位置?

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) Pub Date : 1997-10-30 DOI: 10.1109/IEMBS.1997.757051

J. Biggs, K. Horch, F. Clark

引用次数: 1

A computer model of intracranial dynamics 颅内动力学的计算机模型

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) Pub Date : 1997-10-30 DOI: 10.1109/IEMBS.1997.758793

W. Thoman, S. Lampotang, D. Gravenstein, J. van der Aa

{"title":"A computer model of intracranial dynamics","authors":"W. Thoman, S. Lampotang, D. Gravenstein, J. van der Aa","doi":"10.1109/IEMBS.1997.758793","DOIUrl":"https://doi.org/10.1109/IEMBS.1997.758793","url":null,"abstract":"A software model of intracranial dynamics was developed using existing relationships between patient physiology and brain dynamics. The relationship between the physiologic parameters arterial partial pressure of oxygen (PaO/sub 2/), arterial partial pressure of carbon dioxide (PaCO/sub 2/), mean arterial blood pressure (MABP), temperature (T) and brain dynamics were obtained from literature and were coded into software using Borland C. This computer model was integrated with a full scale patient simulator which generated the physiological inputs to the brain model. This integration allows users of the patient simulator to see the effects of their clinical interventions on brain dynamics through a real-time display. The display outputs the following intracranial variables: cerebral blood flow (CBF), cerebral blood volume (CBV), cerebral metabolic rate (CMRO/sub 2/), cerebral perfusion pressure (CPP), and intracranial pressure (ICP). The ability to visualize intracranial events as they are affected by physiology is a useful tool for teaching and training students.","PeriodicalId":342750,"journal":{"name":"Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126706869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Risk of falling: an electromyographic analysis 跌倒风险:肌电图分析

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) Pub Date : 1997-10-30 DOI: 10.1109/IEMBS.1997.757010

L. Baratto, R. Capra, M. Farinelli, S. Guglielmone, P. Morasso, G. Spada

引用次数: 0

A method for detection of malignant masses in digitized mammograms using a fuzzy segmentation algorithm 一种利用模糊分割算法检测数字化乳房x线照片中恶性肿块的方法

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) Pub Date : 1997-10-30 DOI: 10.1109/IEMBS.1997.757658

M. Sameti, R. Ward, J. Morgan-Parkes, B. Palcic

引用次数: 14

Contour detection of hippocampus using dynamic contour model and region growing 基于动态轮廓模型和区域生长的海马轮廓检测

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) Pub Date : 1997-10-30 DOI: 10.1109/IEMBS.1997.757750

D. Jang, D.S. Lee, S.I. Kim

{"title":"Contour detection of hippocampus using dynamic contour model and region growing","authors":"D. Jang, D.S. Lee, S.I. Kim","doi":"10.1109/IEMBS.1997.757750","DOIUrl":"https://doi.org/10.1109/IEMBS.1997.757750","url":null,"abstract":"In hippocampal morphology, abnormalities including unilateral or bilateral volume loss are known to cause epilepsy, Alzheimer's disease, and certain amnestic syndromes. The accurate segmentation of the hippocampal contour is critical for the diagnosis. However, it is very difficult to extract the contour that matches exactly the hippocampal region in magnetic resonance images (MRI). The brightness of the hippocampal region varies linearly and it's size is small. For the accurate and consistent detection of the hippocampal region, a method which combines region growing and a dynamic contour model to detect the hippocampus from MRI brain images is presented. The segmentation process is performed in two steps. First, region growing with a seed point is performed in the hippocampal region and its output is used for the initial contour of the dynamic contour model. Second, the initial contour is modified on the basis of criteria which integrate energy with contour smoothness and image gradient along the contour. As a result, this method improves the sensitivity of the choice of the initial seed point and precisely extracts the hippocampus from the MRI brain image.","PeriodicalId":342750,"journal":{"name":"Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123929038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

The vector magnetic field of the human stomach and small bowel 人体胃和小肠的矢量磁场

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) Pub Date : 1997-10-30 DOI: 10.1109/IEMBS.1997.756800

L. A. Bradshaw, J. Ladipo, J. Wikswo, W. Richards

引用次数: 0

Low frequency envelopes analysis approach to regulate EMG A/K prosthesis 低频包络分析方法调节假体肌电A/K

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) Pub Date : 1997-10-30 DOI: 10.1109/IEMBS.1997.756608

A. Minor, C. González, L. Leija

引用次数: 3

Human somatosensory evoked potential dipoles: how accurate are the localizations? 人类体感诱发电位偶极子:定位有多准确?

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) Pub Date : 1997-10-30 DOI: 10.1109/IEMBS.1997.756868

V. Towle, L. Khorasani, E. Berkson, I. Syed, C. Pelizzari, D. Jewett, J. Spire

引用次数: 5

Control of FES using reinforcement learning: accelerating the learning rate 用强化学习控制FES:加速学习率

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) Pub Date : 1997-10-30 DOI: 10.1109/IEMBS.1997.757070

A. Thrasher, B. Andrews, F. Wang

{"title":"Control of FES using reinforcement learning: accelerating the learning rate","authors":"A. Thrasher, B. Andrews, F. Wang","doi":"10.1109/IEMBS.1997.757070","DOIUrl":"https://doi.org/10.1109/IEMBS.1997.757070","url":null,"abstract":"Prior knowledge can be used to accelerate the process of reinforcement learning. An adaptive fuzzy logic controller designed to control the swing phase of paraplegic gait was trained on a computer model using reinforcement learning. Instead of starting from scratch with generic fuzzy rules, the controller was jump-started in two different ways with experienced rules. First, supervised learning was used to initially train the controller, then two system parameters were altered and the reinforcement learning algorithm proceeded to find an optimal solution. This required a total of 34 simulation cycles. The same task, using reinforcement learning alone, required almost 150 cycles. Second, the trained controller was transferred to two individuals of differing body mass and height. It required less than 20 additional cycles to converge in both cases. By placing the controller initially closer to an optimal solution, jump-starting greatly reduces the number of simulation cycles required.","PeriodicalId":342750,"journal":{"name":"Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121445148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Thermal conductivity and diffusivity in swine myocardium 猪心肌的热导率和扩散率

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) Pub Date : 1997-10-30 DOI: 10.1109/IEMBS.1997.754488

N.C. Bhavaraju, J. W. Valvano

引用次数: 2