Up to 6-Lead ECG
Medical-grade signal quality in a compact form factor. Multiple lead configurations capture richer cardiac information than single-lead wearables — ideal for arrhythmia screening, HRV analysis and clinical validation.
Software engineering and digital health company from Novi Sad and Belgrade, Serbia.
Svezdrav Rešenja DOO builds ECG4Everybody — a mobile ECG and PPG cardiovascular platform with Pulse & HRV heart care, vascular analysis, cardiovascular analytics, crowdsourcing and AI-powered big data. Developed in Novi Sad and Belgrade, Serbia.
Our technologies have been deployed to more than 100,000 users and have generated over 3 million biomedical recordings — combining industrial software engineering with research-driven innovation.
A Pulse & HRV heart-care platform powered by ECG and PPG signals. Mobile ECG device as a smartphone extender, PPG using only the camera — with aggregated expertise, crowdsourcing, big data and AI.
Heart health, fitness and stress level — all in one place. All core features are available for free in the app.
Our ultra-portable ECG device turns everyday heart monitoring into something effortless. Record up to 6-lead ECG signals with or without traditional electrodes — for personal use, clinical trials and remote care alike.
Medical-grade signal quality in a compact form factor. Multiple lead configurations capture richer cardiac information than single-lead wearables — ideal for arrhythmia screening, HRV analysis and clinical validation.
A highly adaptable design lets users record ECG by simply holding the device, or with standard electrodes for clinical-grade acquisition. No complex setup, no specialized training required.
The device pairs with the ECG4Everybody mobile app via Bluetooth Low Energy, extending the phone’s capabilities into a full ECG acquisition system — with cloud sync and long-term record storage.
Designed to scale: clinic packets with physician accounts and multiple ECG extenders, fitness center packets with instructor dashboards, and business options with professional ECG technician and cardiologist review.
Our mobile app uses a standard smartphone camera to collect high-quality photoplethysmography (PPG) signals. Advanced preprocessing extracts pulse and HRV metrics — removing the barrier of expensive hardware.
High-quality PPG acquisition using a standard smartphone camera. No wearables, no additional sensors — just your phone and a finger on the lens.
Accurate pulse detection and time/frequency-domain HRV analysis — heart rate, beat-to-beat variability, stress indicators and autonomic nervous system insights.
Second derivatives (SD), 2-component and 3-component Gaussian fitting, and A/B point landmark detection — the same pipeline that powers our peer-reviewed vascular research.
Real-time cloud-based filtering, R-peak detection and complex HRV analysis. Long-term trends, cross-device sync and data backup for continuous heart tracking.
One of our primary research and development areas — using smartphone cameras, mobile sensing and advanced signal processing to assess cardiovascular and vascular health at population scale. Cardiovascular AI, digital cardiology and cardiovascular risk prediction built on real-world data.
Biological vascular age estimation and arterial stiffness analysis — translating pulse waveform morphology into interpretable cardiovascular indicators.
Pulse morphology analytics, vascular biomarker extraction and cardiovascular risk stratification — built on large-scale real-world smartphone PPG datasets.
Benchmarked deep learning (CNN, ResNet, MLP) and ensemble models (XGBoost, Random Forest) for vascular morphology classification and biological vascular age regression — with Integrated Gradients explainability.
Digital biomarkers, cardiovascular analytics and remote patient monitoring that scale from individual users to entire populations — enabling prevention-first cardiovascular care.
The same engineering team and research discipline behind ECG4Everybody supports organizations building scalable digital products, health technologies and data-intensive platforms. Software development from Novi Sad and Belgrade, for clients worldwide.
Modern software products for startups, SMEs, research organizations and healthcare providers — from concept and architecture to deployment and long-term maintenance.
Mobile apps · Web platforms · Backend · Cloud-native · API design & integration · Data engineering · IoT · BLE · Cross-platform
Practical AI for data-intensive environments, with deep experience in physiological and biomedical signals including ECG and PPG. Cardiovascular AI and time-series analytics in production.
Machine Learning · Deep Learning · Computer Vision · Time-Series Analytics · Biomedical Signal Processing · Predictive Analytics · Explainable AI · Data Mining
Technologies at the intersection of healthcare, software engineering and AI — supporting clinicians, researchers and patients with scalable, data-driven solutions.
Remote patient monitoring · mHealth · Cardiovascular monitoring · Wellness & prevention · Clinical research · Digital biomarkers · Medical data management
Applied research collaboration, clinical validation studies, technology transfer and joint innovation projects — backed by peer-reviewed publications and open datasets.
Digital biomarkers · Vascular ageing · Cardiovascular prevention · Population-scale datasets · Explainable ML · Open science
A practical stack refined through years of shipping mobile, cloud and AI products — especially in digital health and biomedical signal processing.
Our engineering, AI and data capabilities extend beyond healthcare — wherever mobile, cloud and time-series intelligence are needed.
We combine a live digital health platform with full-stack engineering, applied AI and an academic network — a combination that is hard to find in one team.
100,000+ users and 3,000,000+ biomedical recordings — deployed across Android and iOS in real-world conditions, with 1,000+ daily usages.
Mobile, web, cloud, backend, AI and data engineering in one team — from architecture and API design to deployment and long-term maintenance.
Production experience with ECG, PPG, HRV and vascular signal processing — plus benchmarked machine learning and explainability workflows.
Access to structured biomedical datasets and peer-reviewed open benchmarking subsets — valuable for AI/ML validation and clinical research.
Strong ties with academia in Novi Sad and Belgrade, clinical collaborators and access to internships and emerging research talent.
Experience in research, innovation and cross-border technology initiatives — comfortable working with consortia, universities and industry partners.
Svezdrav originated from doctoral research in ECG signal analysis and continues to maintain strong links with academia and research institutions in Novi Sad and Belgrade — and with the international open-science community.
Digital biomarkers · Vascular ageing research · Cardiovascular prevention · AI in healthcare · Population-scale biomedical datasets · Explainable machine learning · Open science methodologies.
Student internships · Graduate engineering projects · Applied research collaboration · Technology transfer · Joint R&D · Multidisciplinary innovation projects — giving partners access to both experienced engineers and emerging talent.
Academic leadership of Dr. Stevan Jokić, with peer-reviewed publications in ECG and PPG signal analysis, open datasets and ML benchmarks for vascular assessment.
We are interested in collaboration with healthcare organizations, medical device companies, MedTech startups, pharmaceutical companies, AI companies, research institutions, universities, innovation consortia, SMEs and technology companies.
Whether you need full-stack software development, AI solutions, biomedical signal processing, or a partner for a research and innovation project — we’d love to hear from you.