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Snoring Detection and Source Separation Using Emfit Mattress Sensor

Jose Maria Perez-Macias, Mirja Tenhunen, Alpo Värri, Sari-Leena Himanen, and Jari Viik

Published in IEEE Journal of Biomedical and Health Informatics (DOI: 10.1109/JBHI.2017.2757041) & Physiological Measurement (DOI: 10.1088/0967-3334/37/12/2130)

Snoring Detection and Source Separation using Emfit Mattress Sensor

Overview

This project focuses on developing algorithms and methods to detect snoring sounds during sleep. The project is based on the Emfit sensor, which is a contactless sensor that measures heart rate, breathing rate, and movement during sleep. The goal is to use the data collected by the sensor to detect snoring sounds and provide feedback to the user.

Background

Conventional snoring detection relies on microphones; a non-contact mattress sensor approach can improve comfort and reduce setup complexity.

Aim

To accurately identify snoring events from EMFiT signals, enhancing sleep analysis and user feedback.

Methods

Employing spectral analysis, machine learning (SVM, CNN), and source separation (NMF) to isolate and characterize snoring signals from raw sensor data.

Results

Experimental results show effective snoring detection, distinguishing snoring from normal breathing with high accuracy and consistency.

Resources

The project has produced the following peer-reviewed articles:

  1. Detection of snores using source separation on an Emfit signal. JM Perez-Macias, M Tenhunen, A Värri, SL Himanen, J Viik. IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 4, pp. 1060–1068, July 2018. doi: 10.1109/JBHI.2017.2757041.
  2. Spectral analysis of snoring events from an Emfit mattress. JM Perez-Macias, J Viik, A Värri, SL Himanen, M Tenhunen. Physiological Measurement, 37 (12), 2130, 2016. doi: 10.1088/0967-3334/37/12/2130.
  3. Snoring detection with emfit sleep mattress. JM Perez-Macias, SL Himanen, J Viik, M Tenhunen. Journal of Sleep Research, 25, 159-160, 2016.
  4. Assessment of support vector machines and convolutional neural networks to detect snoring using Emfit mattress. JM Perez-Macias, S Adavanne, J Viik, A Värri, SL Himanen, M Tenhunen. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), pp. 2720-2723. doi: 10.1109/EMBC.2017.8037459. (Preprint draft: EMBC PDF)

📄 Download Open-Access Conference Preprint (EMBC PDF)

Cite This Research (4 Publications)

BibTeX citations for all 4 peer-reviewed publications produced by this snoring detection project: 

% 1. IEEE Journal of Biomedical and Health Informatics (2018)
@article{perezmacias2018detection,
  author    = {Perez-Macias, Jose Maria and Tenhunen, Mirja and V{\"a}rri, Alpo and Himanen, Sari-Leena and Viik, Jari},
  title     = {Detection of snores using source separation on an Emfit signal},
  journal   = {IEEE Journal of Biomedical and Health Informatics},
  volume    = {22},
  number    = {4},
  pages     = {1060--1068},
  year      = {2018},
  publisher = {IEEE},
  doi       = {10.1109/JBHI.2017.2757041}
}

% 2. Physiological Measurement (2016)
@article{perezmacias2016spectral,
  author    = {Perez-Macias, Jose Maria and Viik, Jari and V{\"a}rri, Alpo and Himanen, Sari-Leena and Tenhunen, Mirja},
  title     = {Spectral analysis of snoring events from an Emfit mattress},
  journal   = {Physiological Measurement},
  volume    = {37},
  number    = {12},
  pages     = {2130--2142},
  year      = {2016},
  publisher = {IOP Publishing},
  doi       = {10.1088/0967-3334/37/12/2130}
}

% 3. Journal of Sleep Research (2016)
@article{perezmacias2016sleep,
  author    = {Perez-Macias, Jose Maria and Himanen, Sari-Leena and Viik, Jari and Tenhunen, Mirja},
  title     = {Snoring detection with emfit sleep mattress},
  journal   = {Journal of Sleep Research},
  volume    = {25},
  pages     = {159--160},
  year      = {2016},
  publisher = {Wiley}
}

% 4. IEEE EMBC (2017)
@inproceedings{perezmacias2017assessment,
  author    = {Perez-Macias, Jose Maria and Adavanne, Sharath and Viik, Jari and V{\"a}rri, Alpo and Himanen, Sari-Leena and Tenhunen, Mirja},
  title     = {Assessment of support vector machines and convolutional neural networks to detect snoring using Emfit mattress},
  booktitle = {39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  pages     = {2720--2723},
  year      = {2017},
  organization = {IEEE},
  doi       = {10.1109/EMBC.2017.8037459}
}