Health Monitoring with Wireless Sensors and Machine Learning
Talkat Algorithmic Foundations for Emerging Computing Technologies Boot Camp 2025 · 2025-09-08..09-12·
summary
A wall-mounted Emerald device sends low-power microwaves, records reflections, and uploads FFT-processed frames to cloud neural nets; the system uses frequency-modulated continuous-wave radar plus PCA/ICA and transformers to extract position, gait, breathing and even 30‑second sleep stages. Trials report continuous months-long monitoring, detection of medication-on/off effects on gait, reliable breathing vs. apnea, and automated scratch counts; hardware and Wi‑Fi constraints limit heartbeat resolution and require a short calibration period.
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chapters (11)
- 0:00Introduction
- 1:47Wireless sensors for health monitoring
- 8:42Radar sensors for movement and breathing
- 17:05Human pose reconstruction with ML
- 27:06Privacy and regulatory considerations
- 32:30Breathing signals for medical insights
- 38:37Sleep stage detection from breathing
- 47:06Autoimmune disease studies applications
- 55:05Clinical trials and FDA certification
- 1:03:02System engineering challenges
- 1:12:05Future directions and Q&A
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