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Supplemental Data from Shortcomings of human-in-the-loop optimization of an ankle-foot prosthesis emulator: a case series

The Royal Society Figshare2021-04-29 更新2026-04-17 收录

假肢控制优化

康复工程实验

数据链接：

https://rs.figshare.com/articles/dataset/Supplemental_Data_from_Shortcomings_of_human-in-the-loop_optimization_of_an_ankle-foot_prosthesis_emulator_a_case_series/14511495/1 数据链接链接失效反馈

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资源简介：

This file includes all of the data and scripts used for analysis in the manuscript.

应用场景：

创建时间：

2021-04-29

多模态生理信号监测

康复工程实验

This file contains three separate files. Two excel files that display the wheelchair, GSR, heart rate (Dataset A in S1 File), and EEG (Dataset B in S1 File) data for each condition (Wide, Narrow), tri

NIAID Data Ecosystem60

Supplemental Data from Shortcomings of human-in-the-loop optimization of an ankle-foot prosthesis emulator: a case series

假肢控制优化

康复治疗评估

This file includes all of the data and scripts used for analysis in the manuscript.

NIAID Data Ecosystem50

Rankings of input signals found using sequential forward selection (SFS) and sequential backward selection (SBS) when classifiers were trained on the expanded set of input signals from three subjects walking with their clinically prescribed ankle-foot prosthesis when they could see the configuration of the cross-slope and evaluated using data from two different test sets.

假肢控制优化

步态分析

Rankings of input signals found using sequential forward selection (SFS) and sequential backward selection (SBS) when classifiers were trained on the expanded set of input signals from three subjects

NIAID Data Ecosystem10

Rankings of the top ten input signals found using sequential forward selection (SFS) and sequential backward selection (SBS) when in-pylon sensor data was (IPS) and was not (MC) included for classifiers trained on the full set of trial input signals from three subjects walking with their clinically prescribed ankle-foot prosthesis when they could see the configuration of the cross-slope and evaluated using leave-one-out cross-validation (LOOCV).

假肢控制优化

传感器特征选择

NIAID Data Ecosystem50

MeganePro dataset 1 (MDS1)

假肢控制优化

多模态生物信号分析

<h1> General Information </h1> The dataset contains the data of the static and dynamic grasping tasks (Exercise 1) acquired during the <a href='http://ninaweb.hevs.ch/MeganePro'>Myo-

Harvard Dataverse2020-09-21 更新20

Supplemental Data from Shortcomings of human-in-the-loop optimization of an ankle-foot prosthesis emulator: a case series

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