Current telemedicine and remote healthcare applications foresee different interactions between the doctor and the patient relying on the use of commercial and medical wearable sensors and internet-based video conferencing platforms. Nevertheless, the existing applications necessarily require a contact between the patient and sensors for an objective evaluation of the patient’s state. The proposed study explored an innovative video-based solution for monitoring neurophysiological parameters of potential patients and assessing their mental state. In particular, we investigated the possibility to estimate the heart rate (HR) and eye blinks rate (EBR) of participants while performing laboratory tasks by mean of facial—video analysis. The objectives of the study were focused on: (i) assessing the effectiveness of the proposed technique in estimating the HR and EBR by comparing them with laboratory sensor-based measures and (ii) assessing the capability of the video—based technique in discriminating between the participant’s resting state (Nominal condition) and their active state (Non-nominal condition). The results demonstrated that the HR and EBR estimated through the facial—video technique or the laboratory equipment did not statistically differ (p > 0.1), and that these neurophysiological parameters allowed to discriminate between the Nominal and Non-nominal states (p < 0.02).

中文翻译：

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远程监控和远程医疗的潜在解决方案

当前的远程医疗和远程医疗应用程序依赖于商业和医疗可穿戴传感器以及基于互联网的视频会议平台的使用，可以预见医生与患者之间的不同交互。然而，现有的应用必须要求患者和传感器之间的接触以客观地评估患者的状态。拟议的研究探索了一种创新的基于视频的解决方案，用于监视潜在患者的神经生理参数并评估他们的精神状态。尤其是，我们研究了通过面部视频分析来估计执行实验室任务时参与者的心率（HR）和眨眼率（EBR）的可能性。该研究的目标集中在：标称条件）及其活动状态（非标称条件）。结果表明，通过面部视频技术或实验室设备估算的HR和EBR没有统计学差异（p > 0.1），并且这些神经生理学参数可以区分名义状态和非名义状态（p <0.02）。 。