Abstract
Wearable sensing device is popular in recent years. It's a development of the mHealth system. The mHealth system is based on the mobile communication systems for collecting physiology signals. As a wearable design, it can be portable at anywhere and anytime. Low-energy consumption is a critical issue for such system. In this thesis, a low-energy configurable physiological sensing system for wearable application is proposed. We have also integrated four types of sensors in our system including measuring Electrocardiography (ECG), Electroencephalography (EEG), Electromyography (EMG) and a nine-axis sensor for motion tracking. The system is microcontroller-based (MCU-based) and features Bluetooth Low Energy technology for wireless transmission. The physiological signals are sampled by analog-to-digital converters (ADCs) in a specified sampling rate and accessed by MCU via serial-peripheral-interface (SPI). A Bluetooth stack by BlueKitchen is built in MCU and used to control a Bluetooth controller for sending the sampled data to a smartphone wirelessly. We've developed an application on the smartphone to display and store the data in real-time. The wearable sensory node is only cost 27.69 mW as the power consumption. And the smartphone application uses only 5$\%$ CPU resource when receiving data in the background process.