Acorai
AI-Powered Heart Monitoring
Transforming cardiac care through non-invasive ECG signal processing. Acorai’s intelligent heart monitoring platform, supported by eNest’s robust data science solutions, is designed to deliver clinical-grade, noise-free ECG insights to improve outcomes for heart failure patients globally.
eNest Development Team
About Acorai
Acorai is a Swedish medtech innovator pioneering the development of non-invasive tools for intracardiac pressure monitoring. Using their proprietary SAVE Sensor System, Acorai’s platform combines multiple sensing modalities—including ECG, seismocardiography, and phonocardiography—to deliver a holistic view of cardiac function. With AI-driven analysis, the platform empowers cardiologists to detect early signs of heart failure, reduce readmissions, and personalize care. By partnering with eNest, Acorai ensures that its ECG signal processing meets the highest accuracy and clinical standards required for real-world deployment in wearable and hospital environments.
Client Profile
Acorai (AI-powered cardiac monitoring platform for non-invasive heart failure detection)
Client Requirement
The client required an advanced and scalable ECG signal denoising system capable of cleaning raw, noisy ECG signals collected via wearable sensors and integrated systems. The platform needed to automatically detect and correct distortions, extract heartbeat features, and assess signal quality in real-time. A modular and intelligent signal processing architecture was developed to support large-scale ECG analysis, ensuring accuracy across different patient populations and clinical use cases.
Business Situation
Acorai’s commitment to revolutionizing heart failure management is built upon:
- Enabling non-invasive estimation of intracardiac pressures using AI and sensor fusion.
- Delivering real-time cardiac insights for clinicians and researchers.
- Using denoised ECG signals to train and validate diagnostic machine learning models.
- Maintaining compliance with international medical standards for patient data and diagnostics.
- Ensuring their platform is scalable for global deployment via wearable technologies and hospital integrations.
Why Acorai?
Acorai is redefining the future of cardiac care with its breakthrough solution for heart failure monitoring. Unlike traditional invasive methods, Acorai provides a non-invasive, AI-powered alternative that captures accurate ECG and pressure data at scale. By integrating clean, denoised ECG signals into their predictive models, Acorai enables earlier intervention, reduced hospital readmissions, and better quality of life for patients.
Their mission aligns with the growing need for intelligent, portable, and continuous heart monitoring solutions. Through advanced signal processing and predictive analytics, Acorai empowers healthcare providers with timely and actionable data. The collaboration with eNest ensures that the data foundation—clean ECG signals—is reliable, interpretable, and clinically validated.
Their mission aligns with the growing need for intelligent, portable, and continuous heart monitoring solutions. Through advanced signal processing and predictive analytics, Acorai empowers healthcare providers with timely and actionable data. The collaboration with eNest ensures that the data foundation—clean ECG signals—is reliable, interpretable, and clinically validated.
Features Offered
This project focuses on delivering intelligent ECG signal enhancement and quality monitoring through the Acorai platform. Users benefit from real-time cardiac signal clarity, precision insights, and AI-supported analytics.
- ECG Noise Reduction: Automated removal of baseline wander, muscle noise, and electrical interference using advanced algorithms.
- Signal Inversion Detection: Identifies and corrects inverted signals to ensure diagnostic accuracy.
- Heartbeat Detection (R-Peaks): Accurately captures heartbeats for further analysis.
- Good vs Bad Classification: Distinguishes high-quality segments from distorted ones using entropy and morphological checks.
- Non-ECG Segment Filtering: Removes artifacts and non-relevant noise to ensure data consistency.
- Statistical Analysis: Provides insights like heart rate, variability, and waveform behavior.
- Multi-language Support: Platform is accessible across global regions, offering multilingual interface options.
Challenges
Legacy System Modernization Acorai’s vision of real-time, clean ECG required transitioning from basic filters to a modern, AI-augmented pipeline. This upgrade had to maintain data integrity, reduce latency, and support massive data volumes from wearable devices.
Multi-language and Global Accessibility To support worldwide clinical teams and patients, the platform was built to accommodate multiple languages and region-specific ECG recording formats.
Secure Workflow and Compliance Integration As a medical-grade system, the ECG processing flow had to meet strict data security and compliance requirements while remaining intuitive and fast for medical professionals.
Ethical AI in healthcare
As part of our collaboration with Acorai, eNest has prioritized the development and deployment of Ethical AI in line with European regulatory frameworks such as the EU AI Act and GDPR. Given Acorai’s mission to deliver non-invasive, AI-powered heart failure monitoring across global healthcare systems, it was essential to ensure that all ECG signal denoising and data processing models were built with transparency, fairness, and accountability at their core. Our team implemented explainable AI techniques, rigorous data anonymization protocols, and continuous validation processes to mitigate bias and support equitable diagnostics. This ethical foundation reinforces Acorai’s commitment to clinically safe, pat
eNest Team
Location: Mohali, Punjab
Partnership Period: November 2023 – Jan 2025
Partnership Period: November 2023 – Jan 2025
Services
AI Model Development, ECG Signal Denoising, Clinical Data Processing, Platform Integration, and Testing
Technologies
- Python, FastAPI, TensorFlow, Docker, Azure Cloud, Bootstrap, WFDB, PostgreSQL, BioSPPy
- Version Control Tools – GitHub, Bitbucket
- Database – SQL Server
Things Learned
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Key Customer Value
eNest’s collaboration with Acorai has empowered a globally scalable, AI-driven ECG signal processing pipeline. By enabling clean, denoised signals as the foundation for predictive diagnostics, eNest supports Acorai’s mission to bring accurate, non-invasive heart failure monitoring to millions. Together, they are setting a new benchmark for precision in digital cardiology.
Tags
Project Team (L to R): Kamal Singh, Param Singh, Jagdeep Chawla
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