Data
1DUltrasoundMuscleFatigueDataStudy1Of2

1DUltrasoundMuscleFatigueDataStudy1Of2

active ARFF Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) Visibility: public Uploaded 09-08-2021 by Lukas Brausch
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  • Computer Systems Machine Learning
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This collection includes data sets of one-dimensional ultrasound raw RF data (A-Scans) acquired from the biceps brachii muscles of 21 healthy volunteers. The annotation was performed by labeling the first 10 seconds of each data set as belonging to a relaxed muscle state and the last 10 seconds of each data set as belonging to a fatigue muscle states. Each line of the ARFF file contains an A-Scan consisting of 2048amplitude values, an annotation (whether this A-Scan belongs to a fatigue muscle state (1) or not (0)), a timestamp, the arm the signals were obtained from, the ID of the subject, the ID of the data set, the gender of the subject and the chosen lifted weight (2.5. kg, 5.0 kg or 7.5 kg).

8 features

ascanstring347 unique values
0 missing
annotationnumeric2 unique values
0 missing
timestampnumeric347 unique values
0 missing
armPositionstring1 unique values
0 missing
subjectIDnumeric1 unique values
0 missing
dataSetIDstring1 unique values
0 missing
genderstring1 unique values
0 missing
weightnumeric1 unique values
0 missing

19 properties

347
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
4
Number of numeric attributes.
0
Number of nominal attributes.
0.02
Number of attributes divided by the number of instances.
50
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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