| 摘要: | 心肺同步呼吸訓練(cardiorespiratory synchrony training, CRST)為生理回饋的一種方式，又稱心跳變異生理回饋(heart rate variability biofeedback, HRV-BF)是以緩慢腹式呼吸與定速呼吸(Paced Breathing)，再搭配虛擬實境(Virtual Reality, VR)，讓病患沈浸在虛擬的環境當中作為介入方案。透過緩慢呼吸使心跳及呼吸產生同步(in phase)的現象，亦即吸氣時伴隨心跳速率(heart rate, HR)上升，呼氣時伴隨HR下降，藉由尋找參與者最佳共振頻率作為訓練目標，使自主神經達到平行狀態為主要目的，目前研究已證實，HRV-BF可以改善自主神經的平衡，並改善負向情緒。
該系統基於虛擬現實的技術，結合多種傳感器技術，如腦電EEG、心電ECG、Arduino結合SFM3400的Flow sensor為呼吸器及Eye-Tracking並結合機器學習的技術來模擬真實的放鬆的環境，來開發具臨床心理介入之創新性與使用者的便利性以及提供治療師即時性心跳特徵變異(SDNN、LF、LnLf、HF、LF/HF、Mhr)的視覺化特徵做即時性顯示，個案在訓練過程中，會即時比對VR前5分鐘心率的LnLf基準數值來計算進步或退步，進而讓VR內各個場景隨時發生變化，提供即時互動的VR計算機系統。
最後，我們會在後面展示近期在本系統的腦電、心電以及呼吸器設備結合到CRST的VR系統，未來將會部署在高雄長庚醫院，大量推廣應用，並會持續精進本次專案，達到應用推廣之目的。
;Cardiorespiratory synchronization training (CRST) uses diaphragmatic breathing to increase balance in the autonomic nervous system and reduce negative emotions. Virtual Reality(VR) make the patient immersive in virtual environment for CRST training system. Participants were trained to reduce their breathing rates through slow and deep breathing to achieve their target resonance frequency. We want to find the best resonance frequency when heart rate rises during inhalation, and heart rate decreases during exhalation.
Then, we propose the system based on virtual reality technology, and combined with a variety of sensor technologies, such as Looxid EEG, ECG, and Arduino SFM3400 Respirator, not only embedded on CRST training system, but also machine learning technology to stimulate a real relaxing environment. Develop the innovative features of clinical psychological intervention, user convenience and provide the therapist with real-time display of heart rate features(SDNN, LF, LnLf, HF, LF/HF, Mhr) on the computer moinitor. During the process, computer will calculate LnLf value and change VR scene at any time, we provide an instant interactive VR computer system. |
