SnoreHelp -A Mobile Application to Analyze, Track and Record Snoring and to Predict Obstructive Sleep Apnea


Thupika  Ganesharajah and Kumudini  Sarathchandra


Snoring, Obstructive Sleep Apnea, Machine Learning

Issue Date:

18th February 2022


Snoring is a common symptom of Obstructive Sleep Apnea, which has become a major public health concern. Key problem here is the unawareness of snoring condition among people and the serious health illnesses it could lead to, if left untreated. Thus, this project aims to identify and analyze issues related to snoring and to design, develop and evaluate a mobile application for a target age group of 40 to 65 Sri Lankans, that would help to detect the snoring sound, provide recordings of each sessions and to predict OSA condition at an early stage in order to alleviate major health related consequences and development conditions of the syndrome.