Snoring Detection using Emfit

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

Aim

Methods

Results

Resources

The project has produced the following articles

1. Spectral analysis of snoring events from an Emfit mattress. JM Perez-Macias, J Viik, A Varri, SL Himanen, M TenhunenPhysiological measurement 37 (12), 2130 3 2016
2. Snoring detection with emfit sleep mattress. JM Perez-Macias, SL Himanen, J Viik, M TenhunenJOURNAL OF SLEEP RESEARCH 25, 159-160 2016
3. Assessment of support vector machines and convolutional neural networks to detect snoring using Emfit mattress
   Jose M. Perez-Macias, Sharath Adavanne, Jari Viik, Alpo Värri, Sari-Leena Himanen, and Mirja Tenhunen, The Engineering in Medicine and Biology Conference (EMBC 2017) (old draft here)
4. 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