Recently, the demands of the health system have led to the need to monitor a large number of patients at the same time. This has forced healthcare staff to double their efforts in the face of the large number of patients and the lack of resources to cope with such a high demand.
Independent medical monitoring - without the need for healthcare staff to be present - has become a real necessity for medical facilities. This type of technology would ease the workload of staff and facilitate the monitoring of a large number of patients in unison and through the most relevant parameters today, such as temperature, heart rate and ECG, etc.
At Intelligent Data we already have the technology to be able to carry out projects focused on remote medical monitoring in hospitals. Through our collaboration with the American company Analog Devices Inc. we are working on new advanced technologies for vital signs monitoring not currently available in the market.
The first example of the possibilities of these new technologies can be found in the multimodal front end sensor designed by Analog Devices itself: the ADPD4100. This sensor allows the collection of high quality data with a low energy cost and a reduced size compared to other sensors. Accompanied by other ADI components, such as the AD8233, AD5940, ADP5360 and ADLX362, this device facilitates the measurement of vital signs such as:
- Photoplethysmography (PPG) - Optical pulse measurement
- Electrocardiogram (EKG) - Electrical signals from the heart.
- Bioelectrical Impedance Analysis (BIA)
- Body temperature
- Motion tracking.
The other great example of the technology that Intelligent Data is working on thanks to Analog Devices is the non-contact vital signs monitoring system. Through the very high precision MEMS accelerometer developed by this company, it is possible to collect vital signs such as heart rate, heart rate variability and respiratory rate, without the need to directly touch the aforementioned sensor integrated into a bed. All of this can be done even when the patient is moving or sleeping, thanks to its highly accurate accelerometer.
Through these systems, it is possible to analyze patient data and, through machine learning, detect signs of disease or disorders, as well as begin to obtain information for the creation of databases for Big Data and studies to obtain shorter response times in different scenarios.
In general terms, we are facing a sensor that can be key in hospitals and other health centers, such as nursing homes, thanks to the important information it can provide to health workers without the need to be in the same room as the patient and without invasive systems.
At Intelligent Data we continue to study this technology and we have the necessaryexpertise to undertake new ad-hoc projects for those demanding this type of technology, which is capable of revolutionizing healthcare centres in the near future.