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Related Concept Videos

Motor Unit Stimulation01:20

Motor Unit Stimulation

When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
Direct Motor Pathways01:11

Direct Motor Pathways

The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and the...
Indirect Motor Pathways01:22

Indirect Motor Pathways

The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
The vestibulospinal tract originates in the vestibular nuclei of the brainstem. The vestibular system detects changes in...
Torque On A Current Loop In A Magnetic Field01:13

Torque On A Current Loop In A Magnetic Field

The most common application of magnetic force on current-carrying wires is in electric motors. These consist of loops of wire, which are placed between the magnets with a magnetic field. When current flows through the loops, the magnetic field applies torque, which causes the shaft to rotate, thus converting electrical energy to mechanical energy.
Consider a rectangular current-carrying loop containing N turns of wire, placed in a uniform magnetic field. The net force on a current-carrying loop...
Motor Units01:13

Motor Units

The motor unit is a fundamental component of the neuromuscular system and plays a crucial role in coordinating muscle contractions. It consists of a somatic motor neuron, which connects and controls multiple skeletal muscle fibers, forming a single functional segment. The axon of the motor neuron branches out and establishes synaptic connections known as neuromuscular junctions with individual muscle fibers within the motor unit.
Motor units come in different sizes, with smaller units...
Motor Units00:46

Motor Units

A motor unit consists of two main components: a single efferent motor neuron (i.e., a neuron that carries impulses away from the central nervous system) and all of the muscle fibers it innervates. The motor neuron may innervate multiple muscle fibers, which are single cells, but only one motor neuron innervates a single muscle fiber.

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Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
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Treadmill motor current value based walk phase estimation.

Eiichi Ohki1, Yasutaka Nakashima, Takeshi Ando

  • 1Graduate School of Advanced Science and Engineering, Japan. e.ohki@asagi.waseda.jp

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary

Researchers developed a novel algorithm to estimate gait phases for hemiplegic patients using treadmill data. This method offers a new quantitative evaluation index for rehabilitation, despite potential limitations in identifying specific gait phases.

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Robotics
  • Gait Analysis

Background:

  • Gait phase estimation is crucial for evaluating hemiplegic patients' recovery during robotic rehabilitation.
  • Conventional methods for gait phase measurement require external systems like foot switches or force plates.
  • Accurate gait phase detection is essential for controlling treadmill-based robotic rehabilitation systems.

Purpose of the Study:

  • To propose an original algorithm for estimating gait phases on a treadmill using only treadmill motor control data.
  • To assess the algorithm's accuracy in healthy subjects and identify potential limitations for hemiplegic patients.
  • To explore the algorithm's utility as a new quantitative index for evaluating body weight loading during gait.

Main Methods:

  • Development of a novel algorithm utilizing DC motor current values to estimate gait phases.
  • Experimental validation of the algorithm with five healthy subjects on a treadmill.
  • Comparison of estimated gait phases with actual gait events to determine error margins.

Main Results:

  • The algorithm successfully estimated gait phases for four out of five healthy subjects with an error of approximately 0.2 seconds.
  • A limitation was identified where periods of low body weight loading on the leg were misclassified as swing phase.
  • This misclassification is particularly relevant for hemiplegic gait, where reduced weight-bearing is common.

Conclusions:

  • The proposed algorithm offers a promising, sensor-free approach to gait phase estimation during treadmill-based rehabilitation.
  • While direct gait phase estimation may be challenging for hemiplegic patients due to altered weight-bearing, the algorithm can quantify body weight loading periods.
  • This capability provides a novel quantitative evaluation index for assessing patient progress in gait rehabilitation.