- 學位論文
運用區間偵測演算法實現無線心電圖 身分辨識系統
Implementation of Wireless Electrocardiogram Identification System Using Interval Detection Algorithm
摘要
由於網路日漸普及，資訊的流動越來越快，資料取得雖然容易，但是在個人帳號的安全性上就需要更加注意，本論文嘗試擷取每個人獨一無二的心電圖，經過一連串演算法擷取出特徵來做為個人的密碼，並結合無線藍芽模組完成無線系統。 本論文主要分為兩個部分，數位無線部分以及心電圖特徵擷取與辨識部分，在數位無線部分採用微控制器PIC24FJ256GB110結合2.4GHz無線藍芽模組HC-05實現無線密碼溝通，使用非同步串列傳輸(Universal Asynchronous Receiver Transmitter， UART)，達到無線溝通。 在心電圖特徵擷取部分經由心電圖放大電路，透過PIC24FJ256GB110微控制器數位類比轉換模組(Analog Digital Converter， ADC)，轉換成16 Bits資料，經由200ms 中值濾波器，600ms 中值濾波器，將量測之心電圖準位歸零，R波偵測演算法，Interval偵測演算法來實現心電圖辨識的目的。
並列摘要
Today, personal information privacy right is more important than before. To face High-Technology, security of the personal account became more important. The study attempts to capture each user’s unique ECG feature. After processing ECG feature extraction algorithms, the personal ECG feature will be extracted. ECG characteristics will be used as identification conditions. System can be divided to two parts, digital wireless part and ECG feature identification. The PIC24FJ256GB110 microcontroller combined 2.4GHz HC-05 Bluetooth Module as communicate interface by using Universal Asynchronous Receiver Transmitter (UART). ECG feature focus on personal identifying Electrocardiogram by ECG front-end circuit. By using PIC24FJ256GB110 analog-to-digital (ADC) function convert the ECG voltage value to 10-Bit digital value. With the process of ECG feature extraction algorithm and matching algorithm. System can perform the purpose of identification to enhance the protect of personal information.