Report

Measurement results and the detected event can be included in the patient’s documentation

For this purpose, a report can be generated after the doctor/health care professional has described the examination. The professional user can set parameters to control the detection of the listed events.

For example, for a sleep-disordered breathing (Apnea) study, the system allows automatic identification of the following events: Apnea, Hypopnea (shortness of breath), and desaturation.

Example of report

from the Sleep Disordered Breathing Examination contains the following information:

ODI-oxigene desaturation index number of desaturation events (by hour) determined in each examination in relation to the length of the signal to be analyzed for that hour;
Meab desaturation: Average of desaturation level for desaturation events by hour of examination;
Desaturation coefficient (DC): saturation variation function

Heart rate distribution: the distribution of heart rate values (HRV) for the examination;
T90:The proportion of time in the examination in which the saturation did not fall below 90%;
Saturation distribution: the distribution of SpO2 for the examination;
Activity share: the amount of time the patient spent in a given position.

Machine Learning

Automated Detectors (using AI and ML) help detect medical events

The use of artificial intelligence methods combined with remote observation can help in the initial assessment of a patient’s condition, screening for diseases, and identifying patients who could develop a severe form of disease. With our detectors, the physician/healthcare professional receives pre-described reports and alerts to make clinical decisions.

Aidmed services

Research and Development Programs Services