Archive for 2006
Multi-device patient ambulation system
- Тип контента: Патент
- Номер документа: 4273
- Название документа: Multi-device patient ambulation system
- Номер (DOI, IBSN, Патент): US2006/0206167A1
- Изобретатель/автор: Donoghue, J.P., Flaherty, C.J., Serruya M.D.
- Правопреемник/учебное заведение: Не заполнено
- Дата публикации документа: 2006-09-14
- Страна опубликовавшая документ: США
- Язык документа: Английский
- Наименование изделия: Не заполнено
- Источник: http://www.google.com/patents/about/11_319_267_Multi_device_
- Вложения: Да
- Аналитик: Дмитрий Соловьев
Various embodiments of an ambulation and movement assist system are disclosed. For example, an ambulation system for a patient may comprise an exoskeleton device attached to the patient, an FES device at least partially implanted in the patient, and a biological interface apparatus. The biological interface apparatus comprises a sensor having a plurality of electrodes for detecting multicellular signals, a processing unit configured to receive the multicellular signals from the sensor, process the multicellular signals to produce a processed signal, and transmit the processed signal to a controlled device. At least one of the exoskeleton device and the FES device is the controlled device of the biological interface apparatus.
Категория: Патенты | Нет комментариев »
Design and Development of Two Concepts for a 4 Dof Portable Haptic Interface With Active and Passive Multi-Point Force Feedback for the Index Finger
- Тип контента: Научная статья
- Номер документа: 6846
- Название документа: Design and Development of Two Concepts for a 4 Dof Portable Haptic Interface With Active and Passive Multi-Point Force Feedback for the Index Finger
- Номер (DOI, IBSN, Патент): Не заполнено
- Изобретатель/автор: Mark J. Lelieveld, Takashi Maeno, Tetsuo Tomiyama
- Правопреемник/учебное заведение: Delft University of Technology Faculty of Mechanical, Maritime, Keio University Department of Mechanical Engineering
- Дата публикации документа: 2006-09-13
- Страна опубликовавшая документ: США
- Язык документа: Английский
- Наименование изделия: Не заполнено
- Источник: Proceedings of IDETC/CIE 2006 ASME 2006 International Desig
- Вложения: Да
- Аналитик: Глаголева Елена
This research aims to develop a portable haptic master hand with 20 degrees of freedom (DOF). Master hands are used as haptic interfaces in master-slave systems. A master-slave system consists of a haptic interface that communicates with a virtual world or an end-effector for tele-operation, such as a robot hand. The thumb and fingers are usually modeled as a serial linkage mecha-nism with 4 DOF. So far, no 20 DOF master hands have been developed that can exert perpendicular forces on the finger phalanges during the complete flexion and extension motion. In this paper, the design and development of two concepts of a portable 4 DOF haptic interface for the index finger is presented. Concept A is a statically balanced haptic interface with a rolling-link mechanism (RLM) and an integrated constant torque spring per DOF for perpendicular and active force feedback. Concept B utilizes a mechanical tape brake at the RLM for passive force feedback. The systematic Pahl and Beitz design approach is used as an iterative design method.
Категория: Научные статьи | Нет комментариев »
Challenges and Opportunities for Robot-Mediated Neurorehabilitation
- Тип контента: Научная статья
- Номер документа: 7008
- Название документа: Challenges and Opportunities for Robot-Mediated Neurorehabilitation
- Номер (DOI, IBSN, Патент): 10.1109/JPROC.2006.880671
- Изобретатель/автор: By William S. Harwin, James L. Patton, V. Reggie Edgerton
- Правопреемник/учебное заведение: Carnegie Mellon University
- Дата публикации документа: 2006-09-13
- Страна опубликовавшая документ: США
- Язык документа: Английский
- Наименование изделия: Не заполнено
- Источник: Vol. 0018-9219/$20.00 2006 IEEE 94, No. 9, September 2006 |
- Вложения: Да
- Аналитик: Глаголева Елена
Robot-mediated neurorehabilitation is a rapidly advancing field that seeks to use advances in robotics, virtual realities, and haptic interfaces, coupled with theories in neuroscience and rehabilitation to define new methods for treating neurological injuries such as stroke, spinal cord injury, and traumatic brain injury. The field is nascent and much work is needed to identify efficient hardware, software, and control system designs alongside the most effective methods for delivering treatment in home and hospital settings. This paper identifies the need for robots in neurorehabilitation and identifies important goals that will allow this field to advance.
Категория: Научные статьи | Нет комментариев »
Automating Arm Movement Training Following Severe Stroke: Functional ExercisesWith Quantitative Feedback in a Gravity-Reduced Environment
- Тип контента: Научная статья
- Номер документа: 6898
- Название документа: Automating Arm Movement Training Following Severe Stroke: Functional ExercisesWith Quantitative Feedback in a Gravity-Reduced Environment
- Номер (DOI, IBSN, Патент): 10.1109/TNSRE.2006.881553
- Изобретатель/автор: Robert J. Sanchez, Jiayin Liu, Sandhya Rao, Punit Shah, Robert Smith, Tariq Rahman, Steven C. Cramer, James E. Bobrow, David J. Reinkensmeyer
- Правопреемник/учебное заведение: Department of Mechanical and Aerospace Engienering, University of California, Computer Science and Mechanical Engineering Departments, University of Delaware
- Дата публикации документа: 2006-09-13
- Страна опубликовавшая документ: США
- Язык документа: Английский
- Наименование изделия: Не заполнено
- Источник: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGIN
- Вложения: Да
- Аналитик: Глаголева Елена
An important goal in rehabilitation engineering is to develop technology that allows individuals with severe motor impairment to practice arm movement without conti-nuous supervision from a rehabilitation therapist. This paper describes the development of such a system, called Therapy WREX or (“T-WREX”). The system consists of an orthosis that assists in arm movement across a large workspace, a grip sensor that detects hand grip pressure, and software that simulates functional activities. The arm orthosis is an instrumented, adult-sized version of the Wilmington Robotic Exoskeleton (WREX), which is a five degrees-of-freedom mechanism that passively counterbalances the weight of the arm using elastic bands. After providing a detailed design description of T-WREX, this paper describes two pilot studies of the system’s capabilities. The first study demonstrated that individuals with chronic stroke whose arm function is compromised in a normal gravity environment can perform reaching and drawing movements while using T-WREX. The second study demonstrated that exercising the affected arm of five people with chronic stroke with T-WREX over an eight week period improved unassisted movement ability (mean change in Fugl-Meyer score was 5 points 2 SD; mean change in range of motion of reaching was 10%, 0 001). These results demonstrate the feasibility of automating upper-extremity rehabilitation therapy for people with severe stroke using passive gravity assistance, a grip sensor, and simple virtual reality software.
Категория: Научные статьи | Нет комментариев »
A Method for Identification of Electrically Stimulated Muscle
- Тип контента: Научная статья
- Номер документа: 6937
- Название документа: A Method for Identification of Electrically Stimulated Muscle
- Номер (DOI, IBSN, Патент): Не заполнено
- Изобретатель/автор: Waleed Farahat, Hugh Herr
- Правопреемник/учебное заведение: Mechanical Engineering Department, Massachusetts Institute of Technology, Cambridge
- Дата публикации документа: 2006-09-04
- Страна опубликовавшая документ: США
- Язык документа: Английский
- Наименование изделия: Не заполнено
- Источник: Proceedings of the 2005 IEEE Engineering in Medicine and Bi
- Вложения: Да
- Аналитик: Глаголева Елена
We present a model structure and a method for identifying the dynamics of electrically stimulated muscle. The model structure is sufficiently rich to describe a wide set of muscle behavior. It consists of an input static nonlinearity representing the muscle’s recruitment properties, a linear dynamical system representing the contraction dynamics, an output static nonlinearity representing generalized forcelength and force-velocity relationships, and prefilters for the mechanical input that capture impedance and history dependence properties of the muscle. It is assumed that each of the subsystems is linearly parameterized. We present parameter estimation methods, and verify via simulation successful convergence of the estimates to their true values with small variances.
Категория: Научные статьи | Нет комментариев »
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ТОР 10 аналитиков
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Глаголева Елена - 591
Дмитрий Соловьев - 459
Helix - 218
Ридна Украина))) - 85
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max-orduan - 29
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