基於彩色視訊之即時呼吸訊號偵測

Online Respiratory Signal Detection based on Color Video

許博翔(Po-Hsiang Hsu)

指導教授 ： 洪一平

共同指導教授 ： 李明穗(Ming-Sui Lee)

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2014年)

https://doi.org/10.6342/NTU.2014.00239

摘要

在這個研究中，我們提出了一個使用彩色視訊觀察使用者臉部的連續圖片在心跳時對綠色通道產生的微弱變化的即時且低花費的呼吸訊號偵測方法。因為心跳會隨著使用者的吸氣和呼氣而增加或減慢，所以呼吸訊號便可從經過一些濾波器處理的心跳間距序列獲得。此外，本研究也提出可靠度的估測並用來觀察訊號的穩定性。隨著頭部移動或光線的調整，可靠度將會立即地下降且不論在即時或事後分析都很容易觀察。
在實驗部分，我們在不同條件下測量得到的結果和呼吸感測器的訊號相似度，像是光源、背景、和攝影機的距離以及使用的通道組合。我們也在接下來的小節測量我們能達到的最高相似度而且發現可靠度越高，我們的結果和呼吸感測器訊號的相似度越高。在應用的部分，這個方法可以像一個商業化的儀器-StressEraser一樣用來引導使用者的呼吸，不僅可以消除壓力還能透過每天練習以增加心跳變異率，以及偵測使用者在睡覺時的呼吸訊號以幫助醫師觀察睡眠呼吸中止症。
這個研究的貢獻是提出一個低消費且非接觸式的即時呼吸訊號偵測方法，並且可以引導使用者達到自己的共振呼吸頻率，進而達到放鬆和增加心跳變異率的功能。

關鍵字

即時 ； 非接觸式 ； 彩色網路攝影機 ； 呼吸訊號 ； 相似度 ； 可靠度

並列摘要

In this study, we propose an online low cost, non-contact respiratory signal extraction method using widely used RGB camera by measuring the subtle variations of green channel intensity from users’ face image sequence during heart pulse. Since heart rate may increase or decrease with users’ inhalation or exhalation, the respiratory signal can then be obtained from sequence of heart beats intervals after applying some filters. Besides, the evaluation of tidiness also proposed and used to observe the stability of signal. With head movement or light adjustment, tidiness will immediately decrease and easily to observe no matter in real-time or offline analysis.
In the experiment, we measure the similarity of our result and respiration sensor signal in different conditions such as light source, background, distance from webcam and combination of channels. We also measure the highest similarity we can achieve in following sections and found that our result is more similar to respiration sensor signal for subjects with higher tidiness. In the application, this method can be used to guide users’ breaths like a commercial device-StressEraser to not only relieve stress but also increase heart rate variability through daily practices and detect respiratory signal when users are sleeping, which can help doctors observe the symptom of sleep apnea.
The contribution of this study is a low cost, noncontact online respiratory signal detection method which can be used to guide users to its own resonant respiratory frequency, leading them to relax and increasing heart rate variability.

並列關鍵字

online ； noncontact ； webcam ； respiratory signal ； similarity ； tidiness

參考文獻

[7] 陳昱廷, 三通道血液容積波擷取系統之研製, 碩士論文, 國立台北科技大學自動化科技研究所, 台北, 2007

[2] M.Z. Poh, D.J. McDuff and R.W. Picard,"Non-contact, automated cardiac pulse measurements using video imaging and blind source separation,"Optics Express, vol. 18, no. 10, pp. 10762-10774,2010.

[3] M.Z. Poh, D.J. McDuff, and R.W. Picard, “Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam,” IEEE Transactions on Biomedical Engineering,vol. 58, 1, pp. 7-11, january 2011.

[4] S. Kwon, H. Kim, and K.S. Park, "Validation of heart rate extraction using video imaging on a built-in camera system of a smartphone," Engineering in Medicine and Biology Society(EMBC), 2012 Annual International Conference of the IEEE,pp.2174-2177, 2012.

[6] E. Jonathan and L. Martin, “Investigating a smartphone imaging unit for photoplethysmography,” Physiological Meas., vol. 31, no. 11, p.N79, 2010.