Design and Implementation of a Geopathic Stress Detection System Using Labview

This paper presents a novel hybrid Geopathic Stress (GS) detection system combining LabVIEW and IoT technologies. The system integrates environmental sensors, including HMC5883L magnetometer and BME/BMP280, with physiological sensors such as AD8232 ECG, MAX30100 pulse, GSR, and DS18B20 temperature sensors. It monitors environmental parameters such as magnetic field, atmospheric pressure, humidity, altitude, and temperature, alongside physiological metrics, including heart rate, body temperature, blood pressure, oxygen saturation, skin conductance, and ECG signals, to assess the impact of GS on human health. All sensors are interfaced with an ESP32 microcontroller and integrated into a web-based platform for real-time monitoring and data visualization. Field surveys at pre-identified GS zones revealed significant correlations between environmental disturbances and physiological stress responses. The proposed system offers a scientific, real-time tool for GS detection and comprehensive health environment monitoring.

Environmental Monitoring, Geopathic stress, IoT (Internet of Things), LabVIEW, Sensors

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