Coimbatore: Bosch has developed a portable Haemoglobin Monitor Solution (HMS) that uses Artificial Intelligence (AI) which can detect early anemia, without blood tests. The machine learning algorithms help determine haemoglobin levels.
The device gives haemoglobin results in 30 seconds using a non-invasive AI measurement.
Coimbatore: Bosch has developed a portable Haemoglobin Monitor Solution (HMS) that uses Artificial Intelligence (AI) which can detect early anemia, without blood tests. The machine learning algorithms help determine haemoglobin levels.
About Haemoglobin Monitor Solution (HMS)
Bosch's portable Haemoglobin Monitor Solution (HMS) would help detect anemia at early stages especially in regions where routine access to medical care tends to be difficult. This HMS allows a large number of people to be screened for anemia rapidly, safely, using a non-invasive approach. The solution has been named a CES Innovation Award Honoree in the “Health and Wellness” category.
The device gives haemoglobin results in 30 seconds using a non-invasive AI measurement.
How it works?
The intelligent solution by Bosch is designed for use directly at the point-of-care and is completely pain-free with no need for a blood test, as the value is determined by a finger scanner using multi-wavelength spectrophotometer on the surface of the skin.
The system uses an optical sensor to precisely and reliably measure the photoplethysmogram (PPG) signals. Photoplethysmography, or PPG, is an optical technique used to detect volumetric changes in blood in peripheral circulation. The device provides a reliable result within 30 seconds, even for low haemoglobin concentrations. And, this is where machine learning comes in.
The lalgorithm of the device monitors the wavelength of the light and uses 27 different characteristics to determine and classify the haemoglobin value. The algorithm has been trained with more than 10,000 anemia data points. These clinically collected data along with the corresponding ground truth data, are the basis for the machine learning algorithm.
When more validated data sets are put into the continuously learning algorithm, results will be more precise.
Lab-free results without risk of infection
As laboratory analysis is not necessary, there is no risk of infection from contaminated needles. Participants receive their test results quickly at the point of care. The device is battery operated, does not need subsequent calibration, and is extremely easy to use. It is intended for use in outlying and remote regions by healthcare professionals. Location-based reporting ensures easy clinical traceability.
Organizations that operate multiple devices can draw conclusions through heat maps about specific regions. Patient data remains anonymous. Market release in India is expected by mid-2021.
“Bosch has developed the non-invasive Haemoglobin monitor, as an innovative and alternative solution to traditional methods for the early detection of anemia. This should offer people better diagnosis options even in resource constrained conditions. The use of artificial intelligence is revolutionizing anaemia management, specifically in point-of-care setups and closer to the patient”, explains Dattatri Salagame, President and Managing Director of Robert Bosch Engineering and Business Solutions Private Limited (RBEI).
Haemoglobin is a protein found in red blood cells and is responsible for carrying oxygen and carbon dioxide throughout the body. People with a low haemoglobin count may experience symptoms such as general fatigue, weakness, pale skin, and even serious illnesses.
Anemia particularly affects women, even more so when they are pregnant, and also people suffering from malnutrition. In cancer patients undergoing chemotherapy or in palliative care, haemoglobin levels should be checked regularly.
According to estimations by WHO 1.6 billion people suffer from Anemia, a condition resulting from reduced haemoglobin concentration in the blood. This has prompted the WHO to define the fight against anemia, as one of its critical sustainable development goals for 2025.