Work

Detection, recognition and transmission of snoring signals by ESP32

Year: 2024

Type: article

Abstract: This study focuses on the monitoring, transmission, recognition and detection of snoring signals and their relationship with obstructive sleep apnea. To achieve this purpose, the ESP32 microcontroller and a MEMS technology microphone were used to capture and measure characteristic parameters of snoring signals, such as their intensity, frequency and duration. In addition, the WiFi radio interface was used to send the signals to a server where the information was processed, the snoring was detected, linked to a chatbot in Nodred to show the user in a graphical interface his diagnosis of the snoring level. This comprehensive approach allows real-time, wireless monitoring of snoring, leading to a less invasive diagnosis of obstructive sleep apnea.

Source: Measurement Sensors

DOI: 10.1016/j.measen.2024.101397

Authors: Hernan Paz Penagos, Esteban Morales Mahecha, Adriana Melo Camargo, Edison Sanchez Jimenez, Diego Arturo Coy Sarmiento, Sara Valentina Hernández Salazar

Institution: Escuela Colombiana de Ingenieria Julio Garavito

Language: English

Topic: Obstructive Sleep Apnea Research

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,800