Project M3Infekt: Mobile monitoring of the patients' health condition

Deterioration of the health condition of patients suffering form infectious diseases ist often detected too late. Therefore the necessary measures are not initiated early enough, which increases the risk for the patients. In the project M3Infekt a sensor bracelet will be developed, allowing for monitoring of the biosignals e.g. of Covid-19 patients.

Detecting the deterioration of the course of disease in time

Infectious diseases are among the most common causes for illnesses and even death worldwide. These diseases can be quite malicious, as demonstrated by the current Covid19-pandemic. An initially mild course of illness can suddenly and rapidly deteriorate, leading to severe complications and even death. Detecting such sudden deterioration of the health condition of the patients is the key factor here. If the right therapy can be initiated early enough and adapted to the situation, it can have a positive effect on the further course of illness.

Such close monitoring of patients, including e.g. EKG, blood pressure and pulsoxymetry, is currently only carried out in intensive care stations. In normal hospital wards, care facilities, ambulatory care or even at home, where patients with mild courses of illness are normally staying, such monitoring is not provided today. As a result, the deterioration of the disease is often recognized too late and the necessary action is not initiated in time. This increases the risk for the patients and often prolongs the necessary therapy time.

Ambulatory monitoring of Covid-19 symptoms: Project M3Infekt starts
© Fraunhofer EMFT
Ambulatory monitoring of Covid-19 symptoms: Project M3Infekt starts

Sensor bracelet for continuous monitoring

In the project M3Infekt with ten Fraunhofer institutes and four medical partners, a prototype for a modular and mobile sensor bracelet will be developed, for monitoring the relevant biosignals of e.g. Covid-19 Patients in order to be able to recognize the deterioration of their health condition. Fraunhofer EMFT contributes to the project with its expertise in flexible electronics and system integration. The selected sensors for monitoring the disease parameters are integrated on a thin, flexible carrier foil. An overall concept for power management, energy storage and energy harvesting shall enable the energy-autarkic operation of the system. Integration of an energy-efficient communication interface is essential for the online transmission of the sensor data into a central database for analysis and processing for this special purpose.

AI helps to interpret non-specific symptoms

Deterioration of the health condition is accompanied by several non-specific symptoms, which makes the right diagnosis difficult. Therefore, sensor data fusion as well as data analysis using methods of machine learning and artificial intelligence shall be utilizd in the project. This enables creating a characteristic pattern from several separate non-specific parameters, which makes an exact diagnosis and valid statements concerning the patient status, course of disease and prognosis possible.