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- Monitoring Life
Monitoring Life
AI cardiac diagnostics software using real-time ECG, PCG, and PPG signal processing.
accuracy & sensitivity — exceeded legacy PoC performance
to validate the startup’s business hypothesis
The client needed a reliable system to extract key cardiovascular metrics (PEP, LVET, IVCT) from noisy ECG, PCG, and PPG signals gathered by wearable devices.
Healthcare
Industry
Spain
Location
AI, CI/CD automation
Services
$50,000 to $199,999
Budget
The primary challenge was handling unstable input: missing peaks, poor signal quality, and hardware inconsistency.
See what we can do for youSolution
We developed an ML-based application that integrated directly with the client’s sensors. The system performed denoising, fiducial point detection, and signal segmentation. It delivered over 70% accuracy and sensitivity — significantly outperforming their legacy PoC — and included a fully automated pipeline for real-time metric extraction and analysis.
Let’s talk about what’s possible
To enable real-time cardiovascular signal processing and robust ML performance, Blackthorn AI applied:
Project duration
02 Weeks
Review of legacy PoC architecture, requirements gathering from early clinical trials and sensor data analysis & feasibility study
6.5 Weeks
Preprocessing and denoising modules, ECG/PCG/PPG signal peak detection and feature extraction and metric derivation (PEP, LVET)
04 Weeks
Infrastructure & scalable backend design and MVP UI & end-user reporting integration
02 Weeks
Developer-friendly feedback loop and final deployment & delivery
Team Size
Delivering Impact
Beyond the values already highlighted, there’s even more to discover. Our commitment to innovation, client success, and impactful results sets us apart
Book a Meeting70%
Signal processing accuracyDelivered over 70% accuracy on ECG/PCG/PPG data vs. 50–55% from legacy PoC.
4
weeksPrototype validated core clinical assumption within first month.
3x
Faster metric extractionNew pipeline delivers features (PEP, LVET) ~3× faster than previous setup.
100%
Sensor compatibilityFully integrated with client’s existing wearable hardware, no redesign needed.
<5%
Manual intervention neededMajority of processing is now automated, with <5% of cases requiring review.
