Decision Support Solutions

We provide medical professionals with web-based tests to improve their accuracy of diagnosis and treatment of recurrently depressed patients.

Depression

According to World Health Organization (WHO), before 2020 depression is forecasted to become the second cause of ill health and disability worldwide (and possibly even the first one before 2030). In the Netherlands in 2015, one million persons were medicated due to some form of depression (women are two times more likely to become ill), and more than 11% of all sick days leave were depression related.

The current clinical practice uses methods like interview and self-report from the patient to establish the diagnosis. At the moment not any form of quantification of a signal from the body of a patient is used to support diagnosis and medication management decisions.

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Our solution

Our state of the art solution for medical professionals who treat patients with recurrent depression is a combination of nonlinear analysis of electroencephalogram (EEG), special preprocessing and post-processing and machine learning. It is a result of many years of research, evidence-based (validated in three different clinical studies), simple, accurate and calculated in real time.

Recently we added detection based on Variability Heart Rate (VHR) measured by certified portable Humeds Cardea3 device which proved to have clinical accuracy of recording of electrocardiogram (ECG).

How does it work?

1. Data recording

data recording illustration

Record patient's EEG or ECG. It is an easy, non-invasive and cost-effective way to acquire data.

2. Data uploading

data uploading illustration

Upload the file containing EEG/ECG data to our Decision Support Service.

3. Analysis

analysis illustration

Our service will perform several analysis relevant for depression detection.

4. Results

results illustration

Once analysis is done, the results will be presented on the screen or sent by an email.

Improvement is possible

  • Noninvasive, low-cost acquisition of a signal, accessible to a wide number of patients
  • Cheap and Easy user-friendly service; results can be obtained in real time
  • Possible improvement of accuracy in therapy management
  • It is possible to conclude whether the patient is suffering from depression (MDD), before prescribing any medication
  • It is possible to differentiate between episode and remission of a depression