Home > Search Results: keywords:"klasifikace pohybů pacienta"
Search:
Search Tips :: Advanced Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Accelerometer data classification within the patient ECG record
 Kindl, Zdeněk ; Ředina, Richard (referee) ; Bulková, Veronika (advisor)
The subject of the bachelor's thesis is the classification of patient accelerometric data. The aim is to improve the clarification of pathologies in the ECG signal. The classification is performed on data measured by the Bittium Faros 180L device. A custom database of movements was created. Patient data is processed using a recurrent neural network, which classifies the movements into three basic groups: resting activity, moderate activity, and high activity. The output is a file with movement annotations. The thesis includes a description of neural networks, data, data processing, and the creation of the neural network with codes.
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English