Validated Snoring Pause Detection Algorithm Is Adapted for Real-time Detection of Sleep Breathing Disorders
A small start-up of three IT students and a sleep doctor in Finland are working on reliable detection of different type of snoring using a mobile phone app. Snoring pauses due to breathing pauses are detected also in real-time.
The algorithms to detect the breathing pauses were originally developed at Tampere University of Technology, then clinically evaluated at Helsinki Unversity Hospital, published in US Journal of Clinical Sleep Medicine 2016,12(7) in 200 patients with snoring due to sleep apnea. The Android algorithm and app were developedd by Joni Gardemeister, and Sowrov Doha, who study artificial intelligence, machine learning and data science at Aalto University, in collaboration with Dr. Tapani Salmi, a medical doctor, PhD, and specialist in Clinical Neurophysiology and Sleep Medicine. “We really hope to help people with sleep disorders, especially in countries without any or with limited resources of Sleep Medicine”, says Dr. Salmi.
Most common symptom and sign of sleep breathing problems including sleep apnea is the periodic snoring caused by the pauses in the breathing. The most common clinical form of the disorder is position-dependent - the pauses occur only on mainly when sleeping on the back (supine). “We included digital signal analysis and the rule-based pattern recognition algorithms to real-time detect the significant breathing pauses and periodic breathing when sleeping on the back” says Dr. Salmi. “This gives a treatment option as a smart position therapy to many patients and is the first mobile phone based treatment for disorders connected to snoring and periodic snoring”.
The app (SnoreTracker) provides the user the traffic light (green-yellow-red) code of the results, a graphic and quantitative output of snoring and pauses in different sleeping positions and a print-out of the results. These may be used to follow-up the natural course of the disorder or any treatment including e.g. the positional therapy and the weight loss.
The nighttime breathing disorders including sleep apnea are affecting millions, up to ten percent of the population. Most of them (90%) are undiagnosed even in countries with sleep medicine facilities. Due to obesity and aging the epidemics is also increasing in developing countries without diagnostic and treatment resources.
Sleep disorders are is a risk factor to daytime sleepiness (hypersomnia) and accidents but also to several medical disorders like hypertension, diabetes, cardiovascular and cerebrovascular diseases like heart attack and stroke. Current research has shown that poor sleep may be linked to the development of neurological coqnitive disorders, including Alzheimer’s disease.
Currently, the accurate diagnose of sleep disorders is performed using the expensive and laborious butsingle-night polysomnography. There is an obvious need for simple monitoring, screening, or follow-up methods.
SnoreTracker is not a medical device but an app for healthy sleep and well-being but the group aims todevelop it further to achieve some diagnostic features. The accuracy of the measurement is increased by the easy perform of repeated home recordings.
More details about SnoreTracker are found on www.snoretracker.com.
Sleep medicine: Tapani Salmi, MD PhD, firstname.lastname@example.org, tel. +358 400 894790
Dr. Salmi is specialist in Clinical neurophysiology and Sleep Medicine. He is the author of more than 30 scientific papers in sleep medicine.
Technical aspects: info@SnoreTracker.com
Full text and pictures: www.SnoreTracker.com/press.
SnoreTracker in Play Store: https://play.google.com/apps/testing/smartvalley.homesleep