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Dive into the research topics where Michael Frederick Eilenberg is active.

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Featured researches published by Michael Frederick Eilenberg.


Philosophical Transactions of the Royal Society B | 2011

Speed adaptation in a powered transtibial prosthesis controlled with a neuromuscular model

J. Markowitz; Pavitra Krishnaswamy; Michael Frederick Eilenberg; Ken Endo; Chris Barnhart; Hugh M. Herr

Control schemes for powered ankle–foot prostheses would benefit greatly from a means to make them inherently adaptive to different walking speeds. Towards this goal, one may attempt to emulate the intact human ankle, as it is capable of seamless adaptation. Human locomotion is governed by the interplay among legged dynamics, morphology and neural control including spinal reflexes. It has been suggested that reflexes contribute to the changes in ankle joint dynamics that correspond to walking at different speeds. Here, we use a data-driven muscle–tendon model that produces estimates of the activation, force, length and velocity of the major muscles spanning the ankle to derive local feedback loops that may be critical in the control of those muscles during walking. This purely reflexive approach ignores sources of non-reflexive neural drive and does not necessarily reflect the biological control scheme, yet can still closely reproduce the muscle dynamics estimated from biological data. The resulting neuromuscular model was applied to control a powered ankle–foot prosthesis and tested by an amputee walking at three speeds. The controller produced speed-adaptive behaviour; net ankle work increased with walking speed, highlighting the benefits of applying neuromuscular principles in the control of adaptive prosthetic limbs.


Journal of Robotics | 2018

Development and Evaluation of a Powered Artificial Gastrocnemius for Transtibial Amputee Gait

Michael Frederick Eilenberg; Jiun-Yih Kuan; Hugh M. Herr

Existing robotic transtibial prostheses provide only ankle joint actuation and do not restore biarticular function of the gastrocnemius muscle. This paper presents the first powered biarticular transtibial prosthesis, which is a combination of a commercial powered ankle-foot prosthesis and a motorized robotic knee orthosis. The orthosis is controlled to emulate the human gastrocnemius based on neuromuscular models of matched nonamputees. Together with the ankle-foot prosthesis, the devices provide biarticular actuation. We evaluate differences between this biarticular condition and a monoarticular condition with the orthosis behaving as a free-joint. Six participants with transtibial amputation walk with the prosthesis on a treadmill while motion, force, and metabolic data are collected and analyzed for differences between conditions. The biarticular prosthesis reduces affected-side biological knee flexion moment impulse and hip positive work during late-stance knee flexion, compared to the monoarticular condition. The data do not support our hypothesis that metabolism decreases for all participants, but some participants demonstrate large metabolic reductions with the biarticular condition. These preliminary results suggest that a powered artificial gastrocnemius may be capable of providing large metabolic reductions compared to a monoarticular prosthesis, but further study is warranted to determine an appropriate controller for achieving more consistent metabolic benefits.


Archive | 2010

Model-based neuromechanical controller for a robotic leg

Hugh M. Herr; Hartmut Geyer; Michael Frederick Eilenberg


Archive | 2013

Neuromuscular model-based sensing and control paradigm for a robotic leg

Hugh M. Herr; Ken Endo; Pavitra Krishnaswamy; J. Markowitz; Michael Frederick Eilenberg; Jing Wang


Archive | 2013

ROLLING-CONTACT KNEE PROSTHESIS

Alexander H. Slocum; Daniel L. Goodman; Michael Frederick Eilenberg; Julia Titarelli; Leslie Meyer


Hindawi Publishing Corporation | 2018

Biomechanic and Energetic Effects of a Quasi-Passive Artificial Gastrocnemius on Transtibial Amputee Gait

Michael Frederick Eilenberg; Ken Endo; Hugh M. Herr


Archive | 2014

Method for controlling a robotic limb joint

Hugh M. Herr; Hartmut Geyer; Michael Frederick Eilenberg


IEEE | 2010

Control of a Powered Ankle–Foot Prosthesis Based on a Neuromuscular Model

Hartmut Geyer; Michael Frederick Eilenberg; Hugh M. Herr

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Hugh M. Herr

Massachusetts Institute of Technology

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Hartmut Geyer

Carnegie Mellon University

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Ken Endo

Massachusetts Institute of Technology

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J. Markowitz

Massachusetts Institute of Technology

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Pavitra Krishnaswamy

Massachusetts Institute of Technology

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Alexander H. Slocum

Massachusetts Institute of Technology

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Daniel L. Goodman

Massachusetts Institute of Technology

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Jing Wang

Massachusetts Institute of Technology

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Jiun-Yih Kuan

Massachusetts Institute of Technology

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Julia Titarelli

Massachusetts Institute of Technology

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