Depression is a common mental health disorder.With current depression detection methods,specialized physicians often engage in conversations and physiological examinations based on standardized scales as auxiliary mea...Depression is a common mental health disorder.With current depression detection methods,specialized physicians often engage in conversations and physiological examinations based on standardized scales as auxiliary measures for depression assessment.Non-biological markers-typically classified as verbal or non-verbal and deemed crucial evaluation criteria for depression-have not been effectively utilized.Specialized physicians usually require extensive training and experience to capture changes in these features.Advancements in deep learning technology have provided technical support for capturing non-biological markers.Several researchers have proposed automatic depression estimation(ADE)systems based on sounds and videos to assist physicians in capturing these features and conducting depression screening.This article summarizes commonly used public datasets and recent research on audio-and video-based ADE based on three perspectives:Datasets,deficiencies in existing research,and future development directions.展开更多
A nanocomposite of polyaniline/reduced graphene oxide（PANI-r GO） was synthesized using a hydrothermal method. The product was characterized by FT-IR, Raman spectra, XRD, SEM and TEM.Then the hybrid material of PANI-...A nanocomposite of polyaniline/reduced graphene oxide（PANI-r GO） was synthesized using a hydrothermal method. The product was characterized by FT-IR, Raman spectra, XRD, SEM and TEM.Then the hybrid material of PANI-r GO and Nafion（PANI-rGO-NF） was prepared and used to modify glassy carbon electrode for the trace determination of dopamine（DA） employing differential pulse voltammetry（DPV）. It was found that the hybrid material showed good catalytic activity toward the oxidation of DA, and no response to ascorbic acid（AA） and uric acid（UA） was observed, suggesting a high selectivity of the sensor toward DA. The peak currents were linearly correlated with the concentration of DA in the range from 0.05 mmol/L to 60.0 mmol/L（R = 0.996） and 60.0 mmol/L to 180.0 mmol/L（R = 0.996） with a detection limit of 0.024 mmol/L（S/N = 3）. The modified electrode also exhibited excellent repeatability and stability.展开更多
基金Supported by Shandong Province Key R and D Program,No.2021SFGC0504Shandong Provincial Natural Science Foundation,No.ZR2021MF079Science and Technology Development Plan of Jinan(Clinical Medicine Science and Technology Innovation Plan),No.202225054.
文摘Depression is a common mental health disorder.With current depression detection methods,specialized physicians often engage in conversations and physiological examinations based on standardized scales as auxiliary measures for depression assessment.Non-biological markers-typically classified as verbal or non-verbal and deemed crucial evaluation criteria for depression-have not been effectively utilized.Specialized physicians usually require extensive training and experience to capture changes in these features.Advancements in deep learning technology have provided technical support for capturing non-biological markers.Several researchers have proposed automatic depression estimation(ADE)systems based on sounds and videos to assist physicians in capturing these features and conducting depression screening.This article summarizes commonly used public datasets and recent research on audio-and video-based ADE based on three perspectives:Datasets,deficiencies in existing research,and future development directions.
基金financially supported by the National Natural Science Foundation of China (Nos. 21275127 and 21301143)Natural Science Foundation of Fujian Province (No. 2011J01059)Key Provincial University Project of Fujian (No. JK2011032)
文摘A nanocomposite of polyaniline/reduced graphene oxide（PANI-r GO） was synthesized using a hydrothermal method. The product was characterized by FT-IR, Raman spectra, XRD, SEM and TEM.Then the hybrid material of PANI-r GO and Nafion（PANI-rGO-NF） was prepared and used to modify glassy carbon electrode for the trace determination of dopamine（DA） employing differential pulse voltammetry（DPV）. It was found that the hybrid material showed good catalytic activity toward the oxidation of DA, and no response to ascorbic acid（AA） and uric acid（UA） was observed, suggesting a high selectivity of the sensor toward DA. The peak currents were linearly correlated with the concentration of DA in the range from 0.05 mmol/L to 60.0 mmol/L（R = 0.996） and 60.0 mmol/L to 180.0 mmol/L（R = 0.996） with a detection limit of 0.024 mmol/L（S/N = 3）. The modified electrode also exhibited excellent repeatability and stability.
