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

• 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

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. ...