IoT Smart Health Lab (Health Care and IoT) • IOT-013

Basic Course Contents
• Bio-signal Theory
• Arduino Development Environment
• GPIO
• L2C Communication
• UART Communication
• Bluetooth Communication
• A/D Converter
• Theory and Measurement of ECG
• Theory and Measurement of EOG
• Theory and Measurement of EMG
• Theory and Measurement of EEG
• Theory and Measurement of Dust
• Theory and Measurement of PCG
• Theory and Measurement of HHI
• Theory and Measurement of NIBP
• Theory and Measurement of BT
• Theory and Measurement of HR
• Theory and Measurement of Respiration
• Theory and Measurement of SpO2
• Theory and Measurement of Bio-Impedance
• Theory and Measurement of GSR
• Sensor Data Collecting with Raspberry Pi
• Web Server Construction with Lighttpd
• Sensor Monitoring with Javascript
• Alarm Setting with IFTTT

Description

Features of IoT Smart Health Lab (Health Care and IoT) • IOT-013

It is possible to learn about implementation and analysis of measurement algorithm based on principle of bio-signal.
Measurement of up to 13 sensors is available including 2 options of GSR and DUST in addition to the basic 11 sensors such as ECG, EEG, EMG+HHI, EOG, PCG, Respiration, NIBP, BT, SpO2, HR and Bio-impedance.
It is convenient to monitor measurement data using 10.1 inch electrostatic touch LCD.
Each sensor module has a rechargeable battery and can be linked with Wi-Fi and Bluetooth.
AVR MCU with Arduino is applied to the sensor module and the receiving module for more various exercises.
In addition to the basic 11 sensor modules, you can select and use additional modules depending on the learning purpose.
Measured sensor values can be monitored on PC and Smart Phone through Hybrid Web.
Provides SMS and e-mail service for specific sensor values by using alarm process and IFTTT.
Supports interface linked with Android and Arduino for comprehensive application practice.
Supports both on-board type and module type at the same time.

Download Datasheet for IoT Smart Health Lab (Health Care and IoT) • IOT-013

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