Unursaikhan Batbayar, Tanaka Nobuaki, Sun Guanghao, Watanabe Sadao, Yoshii Masako, Funahashi Kazuki, Sekimoto Fumihiro, Hayashibara Fumiaki, Yoshizawa Yutaka, Choimaa Lodoiravsal, Matsui Takemi
Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan.
Machine Intelligence Laboratory, School of Engineering and Applied Sciences, National University of Mongolia, Ulaanbaatar, Mongolia.
Front Physiol. 2021 May 14;12:642986. doi: 10.3389/fphys.2021.642986. eCollection 2021.
To increase the consultation rate of potential major depressive disorder (MDD) patients, we developed a contact-type fingertip photoplethysmography-based MDD screening system. With the outbreak of SARS-CoV-2, we developed an alternative to contact-type fingertip photoplethysmography: a novel web camera-based contact-free MDD screening system (WCF-MSS) for non-contact measurement of autonomic transient responses induced by a mental task.
The WCF-MSS measures time-series interbeat intervals (IBI) by monitoring color tone changes in the facial region of interest induced by arterial pulsation using a web camera (1920 × 1080 pixels, 30 frames/s). Artifacts caused by body movements and head shakes are reduced. The WCF-MSS evaluates autonomic nervous activation from time-series IBI by calculating LF (0.04-0.15 Hz) components of heart rate variability (HRV) corresponding to sympathetic and parasympathetic nervous activity and HF (0.15-0.4 Hz) components equivalent to parasympathetic activities. The clinical test procedure comprises a pre-rest period (Pre-R; 140 s), mental task period (MT; 100 s), and post-rest period (Post-R; 120 s). The WCF-MSS uses logistic regression analysis to discriminate MDD patients from healthy volunteers via an optimal combination of four explanatory variables determined by a minimum redundancy maximum relevance algorithm: HF during MT (HF ), the percentage change of LF from pre-rest to MT (%ΔLF ), the percentage change of HF from pre-rest to MT (%ΔHF ), and the percentage change of HF from MT to post-rest (%ΔHF ). To clinically test the WCF-MSS, 26 MDD patients (16 males and 10 females, 20-58 years) were recruited from BESLI Clinic in Tokyo, and 27 healthy volunteers (15 males and 12 females, 18-60 years) were recruited from Tokyo Metropolitan University and RICOH Company, Ltd. Electrocardiography was used to calculate HRV variables as references.
The WCF-MSS achieved 73% sensitivity and 85% specificity on 5-fold cross-validation. IBI correlated significantly with IBI from reference electrocardiography ( = 0.97, < 0.0001). Logit scores and subjective self-rating depression scale scores correlated significantly ( = 0.43, < 0.05).
The WCF-MSS seems a promising contact-free MDD screening apparatus. This method enables web camera built-in smartphones to be used as MDD screening systems.
为了提高潜在重度抑郁症(MDD)患者的咨询率,我们开发了一种基于接触式指尖光电容积脉搏波描记法的MDD筛查系统。随着严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的爆发,我们开发了一种接触式指尖光电容积脉搏波描记法的替代方法:一种新型的基于网络摄像头的非接触式MDD筛查系统(WCF-MSS),用于非接触式测量由心理任务诱发的自主神经瞬态反应。
WCF-MSS通过使用网络摄像头(1920×1080像素,30帧/秒)监测感兴趣面部区域由动脉搏动引起的色调变化来测量时间序列的心动周期间期(IBI)。减少了身体运动和头部晃动引起的伪影。WCF-MSS通过计算与交感神经和副交感神经活动相对应的心率变异性(HRV)的低频(0.04-0.15赫兹)成分以及与副交感神经活动等效的高频(0.15-0.4赫兹)成分来从时间序列IBI评估自主神经激活。临床测试程序包括休息前期(Pre-R;140秒)、心理任务期(MT;100秒)和休息后期(Post-R;120秒)。WCF-MSS使用逻辑回归分析,通过由最小冗余最大相关性算法确定的四个解释变量的最佳组合来区分MDD患者和健康志愿者:MT期间的HF(HF )、从休息前到MT的LF百分比变化(%ΔLF )、从休息前到MT的HF百分比变化(%ΔHF )以及从MT到休息后的HF百分比变化(%ΔHF )。为了对WCF-MSS进行临床测试,从东京的贝斯利诊所招募了26名MDD患者(16名男性和10名女性,20-58岁),并从东京都市大学和理光公司招募了27名健康志愿者(15名男性和12名女性,18-60岁)。使用心电图计算HRV变量作为参考。
WCF-MSS在5折交叉验证中达到了73%的灵敏度和85%的特异性。IBI与参考心电图的IBI显著相关( = 0.97, < 0.0001)。逻辑评分与主观自评抑郁量表评分显著相关( = 0.43, < 0.05)。
WCF-MSS似乎是一种很有前景的非接触式MDD筛查设备。这种方法使内置网络摄像头的智能手机能够用作MDD筛查系统。