Meltdown Detection: an Automated Approach

• Heart rate and Pulse-Oximetry Monitor from Analog Devices.  From their website: The MAXREFDES117 reference design is a low power, optical heart-rate module complete with integrated red and IR LEDs, and a power supply. This tiny board, perfect for wearable projects, may be placed on a finger or earlobe to accurately detect heart rate. This versatile module works with both Arduino and mbed platforms for quick testing, development and system integration. A basic, open-source heart rate and SpO2 algorithm is included in the example firmware. The board features 8 sewing tap pads for attachment and quick electrical connection to a development platform.

• Wearable EMG sensor from Ultimate Robotics. From their website: uMyo is a single channel wearable EMG sensor with wireless data transmission. Multiple sensors can be connected to one receiver. Main features of uMyo are: - It's wireless! No more mess of wires when working with EMG - Works with any Arduino via nRF24 radio module (you can use our Arduino library) - Works with ESP32 with no extra hardware (we also wrote an Arduino library) - Multiple units (up to 12 in current version) can send data to the same Arduino/ESP32 - Sends out detected muscle activity level, 4-bins spectrum; and raw EMG data (in nRF24 mode) - Can be used with a bracelet and dry electrodes, or with gel electrodes via soldered connector. 

• MLX90640 IR Thermal Camera Breakout - 55 Degree from Adafruit. From their website:  This sensor contains a 24x32 array of IR thermal sensors. When connected to your microcontroller (or Raspberry Pi) it will return an array of 768 individual infrared temperature readings over I2C. This part will measure temperatures ranging from -40°C to 300°C with an accuracy of +- 2°C (in the 0-100°C range). With a maximum frame rate of 16 Hz.

IMU from the Nano 33 BLE Sense Rev2 from Arduino.  From their website: The Arduino Nano 33 BLE Sense Rev2 combines a tiny form factor, different environment sensors and the possibility to run AI using TinyML and TensorFlow™ Lite. The Nano 33 BLE Sense Rev2 not only features the possibility to connect via Bluetooth Low Energy but also comes equipped with sensors to detect color, proximity, motion, temperature, humidity, audio and more.  IMU for Motion Detection. The board provides a 9-axis inertial measurement unit featuring a 3D accelerometer, gyroscope and magnetometer and allows you to detect orientation, motion or vibrations.