Sehat Sathi
- AI-Powered Cardiac Care Bridging Rural India’s Last-Mile Healthcare Gap.
A wearable ECG device integrating edge AI and cultural ergonomics to tackle rural India’s silent cardiovascular crisis. Designed for Gujarat’s Kutch region, Sehat Sathi detects anomalies 40% earlier than traditional diagnosis while embedding healthcare into daily life through regional craft motifs.
Project Type:
University Project, UNSW
Year:
2022
The Challenge:
- Design a portable, user-friendly diagnostic device for early detection of cardiovascular diseases in rural India. - Create an accessible healthcare solution that brings medical screening directly to village communities.
- Develop an AI-powered system for reliable symptom analysis and anomaly detection to reduce dependency on distant medical facilities.
Edge AI
94% arrhythmia accuracy
Cultural bridge
Kutch embroidery motifs reduce stigma → 65% adoption boost
Scalable Access
83% cheaper than commercial ECG
Circular Design
Detachable module shared across 8 households
Process Gallery:
Edge AI Architecture: Trained on 15,000+ Hrs of ECG data locally (zero cloud dependency | 0.2W energy).
Circular Design: Detachable module shared across 8 households (80% e-waste reduction).
Monsoon Resilience: IP65 rating + 48hr runtime in 95% humidity. Regulatory Foresight: Pre-compliant with CDSCO Class B & NHA data protocols.
Research & Discovery
Impact
94% Arrhythmia Accuracy: Edge AI trained on 15K+ rural ECGs (vs 78% urban-centric models)
83% Cost Reduction: ₹8.5k vs ₹50k commercial devices
92% ASHA Adoption: Kutch-inspired motifs reduced healthcare stigma
