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WiFi-Based Heart Rate Monitoring Achieves Clinical-Grade Accuracy with Low-Cost Hardware

2025-09-05

Researchers at UC Santa Cruz have developed Pulse-Fi, a system using inexpensive WiFi devices and machine learning to accurately measure heart rate. This non-wearable technology achieves clinical-grade accuracy by analyzing subtle variations in WiFi signals caused by heartbeats. Testing with ESP32 chips (costing only $5-10) demonstrated accurate readings even from three meters away and across various body positions. Pulse-Fi promises a cost-effective solution for health monitoring, particularly in low-resource settings.

Programmable Embryo Models Created Using CRISPR

2025-03-23

Scientists at UC Santa Cruz have engineered cellular models of embryos without using actual embryos, mimicking the first few days after fertilization. Using CRISPR-based gene editing, they coaxed mouse stem cells into self-organizing structures called embryoids, replicating key stages of early embryonic development. This allows for the study of gene function in early development and the mechanisms of developmental disorders. Published in Cell Stem Cell, this research offers a new avenue for understanding human infertility and improving fertility treatments.