**📅 Date:** ➤ ⌈ [[2025-09-24-Wed〚Wireless Signals as the “New Force”〛]]⌋ **💭 What:** [A new way to monitor vital signs (that can see through walls) | Dina Katabi](https://www.youtube.com/watch?v=CXy1byguvJY) **👀 Snap:** ➤How far can passive monitoring go before privacy is compromised? - Could this change **doctor-patient relationships**? - Is this the future of **digital medicine**: invisible, ambient, always-on care? ⇩ 🅻🅸🅽🅺🆂 ⇩ **🏷️ Tags**: #HW/Prep **🗂 Menu**: ⌈[[✢ M O C ➣ 09 ⌈S E P - 2 0 2 5⌉ ✢|2025 - S E P - MOC]]⌋ ⌈[[✢ L O G ➢ 09 ⌈A U G - 2 0 2 5⌉ ✢|2025 - S E P - LOG]] ⌋ #👾/Private ➤ ⌈[[🧠 Dina Katabi — AI, Wireless Sensing & the Human Brain]]⌋ --- ## I. Inspiration —Star Wars & The Force - Katabi grew up fascinated by **Star Wars** and its idea of the **Force**: - A universal energy that connects all beings and objects. - Allows one to feel others without seeing them. - Later realised: **wireless signals** (Wi-Fi, cellular) act similarly: - Travel through space. - Penetrate obstacles (walls). - Reflect off bodies (since bodies are mostly water). 👉 If one can **capture minute reflections** of wireless signals, one could “sense people without seeing them.” --- ## II. Building the Device - Device placed **behind a wall**; tracks a student’s movements via signal reflections. - **Red dot** tracks movement with surprising accuracy — **no wearables required**. - Analogy: **radar** — but with two key differences: 1. **Cannot blast high power** → would be harmful (microwave effect). The device must be ultra-sensitive to detect weak signals. 2. **Complex indoor reflections** → unlike open sky with one aeroplane, indoor signals bounce off walls, ceilings, and people. → Messy environment requiring advanced interpretation. --- ## III. Two Enablers 1. **Advances in Radio Technology** → - Sensitive radios can now detect very weak RF signals. 2. **Machine Learning (Deep Learning)** → - Interprets complex reflections, distinguishing movements, breathing, heartbeats. 👉 Radio = **ear**, Machine Learning = **brain**. Together: a “super-sensor.” --- ## IV. What Can Be Measured? ### 1. Sleep Monitoring - Tracks **actigraphy** (motion in bed: turning, rising). - More advanced: can infer **brainwave sleep stages** (Awake → Light → Deep → REM). - **REM disturbances** → linked to depression. - **Deep sleep disturbances** → linked to Alzheimer’s. - Replaces traditional **polysomnography** (hospitals, electrodes on head). ### 2. Breathing - Tracks inhale/exhale patterns. - Detects breath-holding events. ### 3. Heartbeats - Minute signal blips correspond to individual heartbeats. --- ## V. Live Demo - Device detects Zach’s **breathing** → inhale/exhale clearly visible. - On **breath-holding**, signal shows only **heartbeat pulses**. - All done **wirelessly**, without wearables. --- ## VI. Applications in Healthcare - Works **passively**: no wearables, no charging, no behavioral change. - **Chronic diseases**: COPD, heart failure, Alzheimer’s, depression, Parkinson’s. - US healthcare: **2/3 of costs come from chronic diseases**. - Chronic conditions deteriorate **gradually**, not suddenly → early detection is possible. - Monitoring can: - Detect worsening conditions **before emergencies**. - Allow earlier **doctor intervention**. - Reduce **hospitalizations**. --- ## VII. Vision of the Future - A device in **every home with chronic disease patients**. - Continuously monitors: sleep, breathing, mobility, heart signals. - Alerts doctors **before emergencies**. - Transforms healthcare: proactive, preventative, personalized. --- ## VIII. Key Takeaways - Wireless signals + AI = a new **Force for healthcare**. - Potential to: - **Revolutionize patient monitoring**. - **Advance disease research**. - **Save lives + cut costs**. - Balancing act: immense opportunity vs. risks of misuse.