Added ECG-PPG paper

Author: rsameni

Resources/Papers/ECG_PPG_Depression_Prescreening.pdf

@@ -97,9 +97,11 @@ Using advanced multichannel signal processing techniques, we have been able to e
 - Razavipour, F., & Sameni, R. (2013). [A general framework for extracting fetal magnetoencephalogram and audio-evoked responses](https://doi.org/10.1016/j.jneumeth.2012.10.021). Journal of neuroscience methods, 212(2), 283-296.
 
 ### Multimodal physiological signal monitoring <a name="prescribe"></a>
-Understanding implicit beliefs and intentions has long been a focus in psychology, neuroscience, and artificial intelligence. Traditional methods, such as self-report questionnaires, depend on participants' conscious reflection, which can introduce biases and inaccuracies. Recent advancements in neurophysiological sensing technologies provide an opportunity to explore beliefs and intentions at a preconscious level, offering more accurate and objective assessments. The PRESCRIBE study employs a multimodal approach to capture physiological and cognitive data, specifically designed to study individualized belief evaluation. The study integrates various modalities, including electroencephalogram (EEG), electrocardiogram (ECG), seismocardiogram (SCG), respiration, blood pressure, photoplethysmogram (PPG), electrodermal activity (EDA), pupillometry, and eye-tracking data. The data collection process is synchronized across multiple systems: PsychoPy software for experiment control, BioSemi ActiveTwo for EEG data, Biopac for additional physiological signals, and EyeLink 1000 Plus for pupillometry and eye-tracking.
+Understanding implicit beliefs and intentions has long been a focus in psychology, neuroscience, and artificial intelligence. Traditional methods, such as self-report questionnaires, depend on participants' conscious reflection, which can introduce biases and inaccuracies. Recent advancements in neurophysiological sensing technologies provide an opportunity to explore beliefs and intentions at a preconscious level, offering more accurate and objective assessments. The PRESCRIBE study employs a multimodal approach to capture physiological and cognitive data, specifically designed to study individualized belief evaluation. The study integrates various modalities, including electroencephalogram (EEG), electrocardiogram (ECG), seismocardiogram (SCG), respiration, blood pressure, photoplethysmogram (PPG), electrodermal activity (EDA), pupillometry, and eye-tracking data. The data collection process is synchronized across multiple systems: PsychoPy software for experiment control, BioSemi ActiveTwo for EEG data, Biopac for additional physiological signals, and EyeLink 1000 Plus for pupillometry and eye-tracking. Read more:
 
-Preliminary results of this ongoaing research are available [here](https://alphanumerics.bmi.emory.edu/multimodal-physio-data-analysis/)
+* [Prescreening Depression Using Wearable Electrocardiogram and Photoplethysmogram Data from a Psycholinguistic Experiment](./Resources/Papers/ECG_PPG_Depression_Prescreening.pdf)
+
+* [A dashboard for multimodal physiological data feature visualization](https://alphanumerics.bmi.emory.edu/multimodal-physio-data-analysis/)
 
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 ## Public health <a name="public_health"></a>