呼吸的過程中，胸腔內空氣的體積會造成胸腔大小和位置的改變，因而造成阻抗的變化，進而對ECG的振幅造成影響。本研究透過分析ECG，找出ECG與呼吸之關聯性，從ECG導出心源性呼吸訊號(ECG-Derived Respiration, EDR)，進而計算呼吸次數，並與自製之呼吸流量器AT01量測的呼吸流量訊號做比對，結果發現在ECG訊號良好的情況下，準確率高達九成。 Nowadays, with the advanced technological development and the higher attention on health issue, many wearable devices are designed to value health care. When you wear the devices which combine with medical equipment, you do not need to go to hospitals to take physical examination in particular if you just want to check your physical conditions initially. Instead ,you can take the physical examination as long as you wear devices with medical equipment.Due to these devices, it is more convenient for modern people. Heart is the most important organ in the human body, and it is like a motor in the body. Life ends when heart stops beating. Thus, nowadays, the wearable devices is often build in heartbeat measurement. Electrocardiography (ECG) is the best method to measure and diagnose hearts. This method is a diagnostic technique that captures and records the electrophysiological activities of hearts through the electrodes on the skin. When one is breathing, the volume of air inside the chest will change the size and location of chests. Also, the changes will cause alteration in impedance which then affect the amplitude of ECG. This study, through analyzing ECG, aims to figure out the relation between ECG and respiration. With ECG-Derived Respiration (EDR) signals, we calculated times of breathing and compared them with breathing signal from self-made breathing flowmeter AT01. It is proved that the accuracy rate is up to 90% when the ECG signals are received well.
