公开(公告)号：US20160055276A1

公开(公告)日：2016-02-25

申请号：US14680809

申请日：2015-04-07

Applicant: Daegu Gyeongbuk Institute of Science and Technology

Inventor： Ho Jeong Kim

IPC: G06F17/50 ,  G06F17/10

CPC classification number: G06F17/5009 ,  G06F17/10 ,  G16H50/50

Abstract: Disclosed herein is modeling system and method of a muscle activation that is both biophysically-plausible and practically-robust over a wide range of physiological input conditions such as excitation frequency and muscle length. The modeling system comprises: a first module transforming electrical signals from motoneurons to concentration of Ca2+ in the sarcoplasm; a second module receiving the concentration of Ca2+ from the first module and transforming the concentration of Ca2+ to and activation dynamics of muscle; and a third module receiving the activation dynamics of muscle from the second module and transforming the activation dynamics of muscle to muscle force. The first module and the second module compensate a length dependency of the concentration of Ca2+ and the activation dynamics.

Abstract translation: 本文公开的是肌肉激活的建模系统和方法，其在生理输入条件（例如激发频率和肌肉长度）的广泛范围内都是生物物理上可信的和实际上鲁棒的。 建模系统包括：第一个模块将电动信号从运动神经转化为肌浆中Ca2 +的浓度; 第二模块从第一模块接收Ca 2+的浓度并将Ca2 +的浓度转化为肌肉的活化动力; 以及第三模块，其从第二模块接收肌肉的激活动力学，并将肌肉的激活动力转化为肌肉力。 第一个模块和第二个模块补偿Ca2 +的浓度和活化动力学的长度依赖性。

公开(公告)号：US20170154133A9

公开(公告)日：2017-06-01

申请号：US14680809

申请日：2015-04-07

Applicant: Daegu Gyeongbuk Institute of Science and Technology

Inventor： Ho Jeong Kim

IPC: G06F17/50 ,  G06F17/10

CPC classification number: G06F17/5009 ,  G06F17/10 ,  G06F19/00 ,  G16H50/50 ,  Y02T10/82

Abstract: Disclosed herein is modeling system and method of a muscle activation that is both biophysically-plausible and practically-robust over a wide range of physiological input conditions such as excitation frequency and muscle length. The modeling system comprises: a first module transforming electrical signals from motoneurons to concentration of Ca2+ in the sarcoplasm; a second module receiving the concentration of Ca2+ from the first module and transforming the concentration of Ca2+ to and activation dynamics of muscle; and a third module receiving the activation dynamics of muscle from the second module and transforming the activation dynamics of muscle to muscle force. The first module and the second module compensate a length dependency of the concentration of Ca2+ and the activation dynamics.

公开(公告)号：US20150356267A1

公开(公告)日：2015-12-10

申请号：US14679383

申请日：2015-04-06

Applicant: DAEGU GYEONGBUK INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Ho Jeong Kim ,  Kelvin E. Jones

IPC: G06F19/00 ,  G06F17/10

CPC classification number: G06F17/10 ,  G06F17/5009 ,  G06F2217/16 ,  G16H50/50

Abstract: Disclosed herein is modeling method which is enabled to analyses neurons in order to reduce real neurons physiologically properly using the relationship between asymmetry in signal propagation between a soma and dendrites and dendritic excitability. The modeling method for neurons include determining voltage attenuation factors which represent properties of signal propagation between dendrites and a soma and is represented as functions of distance from the soma; and determining a plurality of passive parameter at a pre-determined path length using system parameters defined from the anatomical model comprising the voltage attenuation factors at the pre-determined path length.

Abstract translation: 这里公开的是建模方法，其能够使用神经元和树突之间的信号传播的不对称性与树突兴奋性之间的关系在生理上适当地减少真实神经元来分析神经元。 神经元的建模方法包括确定电压衰减因子，其代表树突和神经元之间的信号传播的性质，并且被表示为与神经的距离的函数; 以及使用从包括预定路径长度处的电压衰减因子的解剖模型定义的系统参数来确定处于预定路径长度的多个被动参数。

公开(公告)号：US11068561B2

公开(公告)日：2021-07-20

申请号：US14679383

申请日：2015-04-06

Applicant: DAEGU GYEONGBUK INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Ho Jeong Kim ,  Kelvin E. Jones

IPC: G06F17/10 ,  G16H50/50 ,  G06F30/20 ,  G06F111/10

Abstract: Disclosed herein is modeling method which is enabled to analyses neurons in order to reduce real neurons physiologically properly using the relationship between asymmetry in signal propagation between a soma and dendrites and dendritic excitability. The modeling method for neurons include determining voltage attenuation factors which represent properties of signal propagation between dendrites and a soma and is represented as functions of distance from the soma; and determining a plurality of passive parameter at a pre-determined path length using system parameters defined from the anatomical model comprising the voltage attenuation factors at the pre-determined path length.