Innovative Approaches for Non-Intrusive Hemoglobin Detection: A Comparative Analysis

In order to diagnose, assess, and treat a wide range of disorders, blood Hemoglobin level (Hgb) monitoring is essential. There is a global urge for an economical hemoglobin measuring solution, which is especially important in underdeveloped nations. This research paper refers to describe concise and organized information about different techniques of non-intrusive continuous hemoglobin monitoring (such as Image analysis using CNN (Convolutional Neural Network), Cyanmethemoglobin Method, PPG Theory, Embedded Platforms, Smartphone Method) and also a most effective technique which can be preferred all over. There are currently less commercially viable non-intrusive hemoglobin monitors on the market, despite the efforts of several research organizations to create wearable sensors for continuous Hemoglobin monitoring. Non-intrusive methods of hemoglobin monitoring are easy, effective with 90.9% of accuracy with no infection chances as in invasive (intrusive) method of monitoring because non-invasive method uses finger probe or other sensing element which can be attached to our skin and hence concentration level can be measured irrespective of having fair chances of using infectious needles in case of invasive method. Finger Probe can bring into an operation with the help of hardware system, made with a use of an electronic components such as Arduino Uno (with inbuilt Embedded System), OPT101 (Light Sensing Diode-Photodiode), Multi-Emitter Chip, Liquid Crystal Display (LCD). In future for any disorder diagnosis or treatment which requires time to get a report of our blood test in order to identify hemoglobin concetration level in the body, this device will greatly help so that doctors can treat patient fast in order to avoid any discrepancies with a patient's health and hence treatment will be started sooner.