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ZENODO
Dataset . 2024
License: CC BY SA
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY SA
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY SA
Data sources: Datacite
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Magnetic Distance Estimation Data from Gait Experiments with Magnetoelectric Sensors

Authors: Hoffmann, Johannes; Welzel, Julius; Hansen, Clint; Maetzler, Walter; Schmidt, Gerhard;

Magnetic Distance Estimation Data from Gait Experiments with Magnetoelectric Sensors

Abstract

Overview This is the "Magnetic Distance Estimation Data from Gait Experiemtns with Magnetoelectric Sensors" dataset. It represents a pilot study on magnetic motion tracking with novel magnetoelectric sensors during treadmill walking.Therefore, it contains both technical (calibration) data and clinical (gait) data of five healthy participants. Example scripts for loading and processing data are available in the linked respository. The dataset is formatted according to the Brain Imaging Data Structure. See the `dataset_description.json` file for the specific version used. The work was supported by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) through the Collaborative Research Center CRC 1261 Magnetoelectric Sensors: From Composite Materials to Biomagnetic Diagnostics. The data was recorded in the project B9 on "Magnetoelectric Sensors for Movement Detection and Analysis". All measurements were approved by the ethics committee of Kiel University (File number: A122/20) and conducted in accordance with the Declaration of Helsinki. Details about the experiment Magnetic motion tracking enables a relative tracking, in which the distance between each sensor and actuator node can be estimated. The full setup contains two actuator nodes (a0, a1) and four sensor nodes (s0, s1, s2, s3).Each actuator-sensor pair produces nine magnetic signals (x,y,z by x,y,z) as well as three magnetic dipole moment signals that represent the currents through the coils (actuators).Additionally, each node was tracked with an optical motion capture (OMC) system. The resulting position and orientation data of the attached rigid body act as a reference (ground truth) to evaluate the magnetic estimation. Subfolders sub-01 to sub-08 each contain up to three calibration tasks which each contain between 60 and 120s of arbitrary movement of one coil (wand-mounted) around one stationary sensor (base).Subfolders sub-09 to sub-13 each contain two 120s walking tasks (0.5 and 1 m/s) of five subjects in total with the full sensor and actuator setup. Two actuators were mounted to the shanks, two sensors to the thighs and two sensors were placed stationary next to the threadmill. The dataset also contains a folder with derived data, which contains calibration parameters for each actuator-sensor pair. See the provided matlab script for details on how to load, visualize, and compare the results.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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