Non-Invasive Blood Parameters Detection for Healthcare Applications using IOT

The conventional technique involves taking human blood samples in an intrusive way in order to measure the salt level, hemoglobin, and glucose rate. These methods may be painful and put the patient at risk for infection. These procedures may cause fear in the children. In order to address this issue, we suggest a non-invasive method that combines ISEs, PPG, and infrared (IR) sensors to measure salt, glucose, and hemoglobin levels. By studying the absorption and reflection of infrared light by blood vessels in the subcutaneous tissue, the IR sensor will be used to detect the amount of glucose in the body. PPG operates by measuring the pulsatile blood flow through the arteries, which will reveal information about hemoglobin levels. Lastly, an ISEs sensor will be used to measure sweat pH, which is correlated with sodium concentration, in order to monitor salt levels. Advanced machine learning techniques will be used to interpret the data from these sensors and deliver precise, real-time measures of sodium, hemoglobin, and glucose. To further assess the patient’s breathing condition, we have added a breathe analyzer. The IR sensor yields the breathing analyzer output. By using a thermometer, we may analyze the patient’s breaths per minute using a graphical waveform, with the breaths taken in a minute being represented by the peak value.