Why rapid help matters.
Facts you should know.
200,000 new cases annually
In Germany, around 200,000 people suffer a stroke for the first time each year - many of them completely unexpectedly. A rapid response can save lives and prevent long-term damage.
* Quelle: Stiftung Deutsche Schlaganfall-Hilfe
Detect faster – treat better
Time is brain” — in the event of a stroke, every minute counts: approximately 32,000 neurons die in the brain each second. The earlier it is recognized, the better the chances of recovery.*
* Quelle: PubMed – National Library of Medicine
Help when no one is watching.
Many stroke patients are alone at the critical moment – Stroke Helper helps with detection*, even when no doctor is nearby. Simple. Fast. Digital.
⚠️ Important note: StrokeHelper does not replace no medical diagnosis.
The app can only detect symptoms and indicate possible signs of a stroke.
In case of suspected stroke, always: call emergency services immediately!
App currently available in 7 languages - more coming soon.
Speech-Based Analysis Instead of Translation
Stroke Helper’s speech recognition is not based on translated test sentences –
but on language-specific sound patterns and phonetic structures.
A separate reference is created for each supported language.
This takes into account typical sounds, syllable patterns, and articulation characteristics of the respective language.
This enables language-specific changes – such as those associated with aphasic symptoms – to be detected in a differentiated and reliable manner.
Independent of the user’s language or background.
Good to know
Stroke Helper is already usable as a prototype – but not yet officially available in the App Store.
I’m continuing to develop the app and improve it step by step.
Features at a glance
Onboarding with risk assessment
Right from the initial setup, Stroke Helper analyzes your personal risk factors – anonymously and in compliance with data protection regulations.
Facial analysis
Detect asymmetric facial movements or paralysis using the camera – similar to the FaceID setup.
Speech analysis
Compare current speech with your stored reference – if slurred speech is detected, a warning is issued.
Symptom checklist
With just a few questions, you can check for additional warning signs – easy to use, even in stressful moments.
HealthKit integration
Uses existing data such as age, weight, or medications – for a more accurate risk assessment.
MIRA – First Aid Coach
If the app detects possible stroke symptoms, MIRA guides you step by step through first aid measures - following the well-known ABCDE protocol.
The lab behind the scenes
MIRA AI
MIRA AI is the analytical foundation of Stroke Helper and a proprietary in-house development.
Here, data is validated, models are trained, and new features are continuously developed.
