Ideaz

Problem:

Current health-tracking wearables like smartwatches and fitness bands offer basic vitals (heart rate, SpO₂, step count) but lack continuous, clinically useful, real-time health monitoring and any neuroscience layer for stress, focus, or cognitive fatigue.

• Medical-grade devices exist but are expensive, bulky, and not designed for everyday wear.
• Consumer watches collect data but offload analysis to the cloud, creating privacy concerns, lag in alerts, and limited insight beyond fitness.
• Early signs of mental fatigue, arrhythmia, or stress spikes often go undetected until symptoms escalate.

Market Gap:

• Clinical accuracy gap: No consumer-grade watch provides runtime health checks (ECG+neuro signals) with medical-grade accuracy and real-time alerts.

• Privacy & power gap: Cloud processing drains battery and risks data exposure; there’s no low-power chip solution doing on-device analytics at scale.

• Neuroscience gap: No mass-market wearable integrates brainwave/focus/stress metrics in a simple daily-use product.

Solution:

NeuroPulse Watch – a next-generation smartwatch with custom low-power VLSI/ASIC edge-AI chip and multi-sensor array (PPG, ECG, EDA, motion, optional ear-EEG).

• Real-time health checkups: Continuous arrhythmia, HRV, stress, and fatigue detection processed locally on the chip.
• Neuroscience insights: Optional ear-EEG accessory measures focus, mental fatigue, and sleep quality.
• Privacy first: On-device AI means sensitive data never leaves the watch unless user-approved.
• Extended battery: Custom chip allows week-long runtime despite heavy signal processing.

Who gets benefited?

• Users: Students, professionals, and health-conscious individuals get early warnings on heart/stress issues and personalized neuro insights.

• Healthcare providers & researchers: Access to anonymized, high-resolution datasets for preventive care and neuroscience studies.

• Corporates & universities: Offer wellness programs to employees/students with actionable metrics.

Why this problem matters:

Lifestyle diseases and mental-health issues are surging among young adults, yet preventive diagnostics remain hospital-centric and reactive. Early detection of cardiac anomalies or burnout can save lives and reduce healthcare costs. A privacy-respecting, affordable, student-friendly device can bring clinical-grade monitoring into daily life—bridging the gap between fitness gadgets and hospital equipment.

Technicalities:

• Custom VLSI/ASIC chip (initially MCU/FPGA prototype) for low-power edge AI signal processing.

• Sensor fusion algorithms for ECG, PPG, EDA, and optional EEG.

• Mobile app for personalized dashboards, alerts, and premium neuro analytics.

• Secure data architecture: end-to-end encryption, optional cloud sync for doctors/researchers.

• Scalable manufacturing using standard wearable supply chains to keep costs student-friendly.

By combining chip-level innovation with a consumer-ready wearable, NeuroPulse positions itself as the first affordable platform that unites runtime health checkups and neuroscience insights in a single watch.