Seal Sleep Capstone. In Data Science & Engineering Master of Advanced Study (DSE MAS) Capstone Projects ...

As part of the DSE MAS Data Science program, we constructed a project with the goal of to develop a machine learning framework capable of accurately classifying sleep states in Northern Elephant Seals. The data used included electrophysiological and motion data collected from the seals, comprising E...

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Bibliographic Details
Main Authors: Sorenson, Michael A., Song, Melody Q., Basic, Tarik, Rajput, Yousuf W., Tarif, Tarek R., Kendall-Bar, Jessica, Altintas De Callafon, Ilkay
Format: Dataset
Language:English
Published: UC San Diego Library Digital Collections 2024
Subjects:
Electrophysiology
Marine biology
Task Feature extraction
Task Classification
Capstone projects
Polysomnography
Data Science & Engineering Master of Advanced Study DSE MAS
Biological sciences
FOS Biological sciences
Ecology
Northern elephant seals
Behavioral analysis
Sleep classification
Neurophysiology
Machine learning
Elephant Seals
Online Access:https://dx.doi.org/10.6075/j0r49qz9
https://library.ucsd.edu/dc/object/bb8374340w
Description
Summary:As part of the DSE MAS Data Science program, we constructed a project with the goal of to develop a machine learning framework capable of accurately classifying sleep states in Northern Elephant Seals. The data used included electrophysiological and motion data collected from the seals, comprising EEG (electroencephalogram) and ECG (electrocardiogram) signals, along with motion data from gyroscopes and pressure sensors. These data were gathered using custom non-invasive head caps and waterproof housings and were manually labeled for sleep, behavioral, and respiratory stages by experts. The raw signal data was provided in EDF format, and the labels were in CSV files with corresponding timestamps. This rich dataset enabled the extraction of key features necessary for training and evaluating the machine learning models. ...

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