Snoring Datasets
Several datasets are available for research purposes, focusing on snoring sounds and types:
- PhysioNet Sleep Apnea Database:
- Description: Includes polysomnographic recordings of patients with sleep apnea.
- Link: PhysioNet Sleep Apnea Database
- National Sleep Research Resource (NSRR):
- Description: Offers access to a variety of sleep research datasets, including snoring and sleep apnea data.
- Link: NSRR
- SCUT Sleep Snoring Database:
- Description: Contains snoring sounds with annotations for different types of snoring.
- Link: SCUT Sleep Snoring Database
- Snore Sound Database:
- Description: A dataset of snoring sounds for research on snoring detection and classification.
- Link: Kaggle Snore Sound Database
Open Software for Snoring and Sleep Analysis
- SleepyHead:
- Description: An open-source software for analyzing CPAP machine data, helping users track sleep apnea treatment effectiveness.
- Link: SleepyHead
- Audacity:
- Description: An open-source audio editor that can be used to analyze and visualize snoring sounds.
- Link: Audacity
- OpenBCI:
- Description: Provides open-source tools for biosensing and sleep studies, including EEG, which can be used in sleep research.
- Link: OpenBCI
- EEGLAB:
- Description: An open-source MATLAB toolbox for processing and analyzing EEG data, useful in sleep studies.
- Link: EEGLAB
- PyEEG:
- Description: A Python module for EEG feature extraction, applicable in sleep research.
- Link: PyEEG
- mne-python:
- Description: A Python library for processing and analyzing EEG and MEG data, commonly used in sleep research.
- Link: mne-python
- DeepSleepNet:
- Description: An open-source implementation of a deep learning model for sleep stage classification, which can help in analyzing sleep patterns and disturbances.
- Link: DeepSleepNet
These datasets and software tools provide a range of options for analyzing snoring and sleep patterns, facilitating research and development in the field of sleep medicine.