通过 ESP32 检测、识别和传输打鼾信号

Q4 Engineering

Measurement Sensors Pub Date : 2024-10-24 DOI:10.1016/j.measen.2024.101397

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

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引用次数: 0

摘要

本研究的重点是监测、传输、识别和检测打鼾信号及其与阻塞性睡眠呼吸暂停的关系。为此，我们使用了 ESP32 微控制器和 MEMS 技术麦克风来捕捉和测量打鼾信号的特征参数，如强度、频率和持续时间。此外，还使用 WiFi 无线接口将信号发送到服务器，在服务器上进行信息处理，检测打鼾情况，并与 Nodred 聊天机器人连接，在图形界面上向用户显示对打鼾程度的诊断结果。这种综合方法可以对打鼾进行实时、无线监测，从而对阻塞性睡眠呼吸暂停进行侵入性较小的诊断。

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Detection, recognition and transmission of snoring signals by ESP32

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.

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来源期刊

Measurement Sensors Engineering-Industrial and Manufacturing Engineering

CiteScore

3.10

自引率

0.00%

发文量

184

审稿时长

56 days