1.Clinical Observation on Local Application of Honey on Wounds and Burn.Wounds.
Quan LIANG ; Tunmao CHEN ; Chunzhi CHEN ; Jinfeng WANG ; Xingran GAO ; Na ZHANG
Journal of Traditional Chinese Medicine 1992;0(08):-
1363 cases of wounds and burn wounds wastreate withtopical application of bee honey with an average thera-peutic course of 14.5 days.the total effective rate be-ing 97.5%.When comparison made with 635 casestreated by antibiotics,the results were significantlydifferent.Observations revealed that bee honey pos-sesses the actions of nourishing the wounds,antiin-flammation,antimicrobe,absorption and decrease ofexudation,improvement of healing.
2.Applications and challenges of wearable electroencephalogram signals in depression recognition and personalized music intervention.
Xingran CUI ; Zeguang QIN ; Zhilin GAO ; Wang WAN ; Zhongze GU
Journal of Biomedical Engineering 2023;40(6):1093-1101
Rapid and accurate identification and effective non-drug intervention are the worldwide challenges in the field of depression. Electroencephalogram (EEG) signals contain rich quantitative markers of depression, but whole-brain EEG signals acquisition process is too complicated to be applied on a large-scale population. Based on the wearable frontal lobe EEG monitoring device developed by the authors' laboratory, this study discussed the application of wearable EEG signal in depression recognition and intervention. The technical principle of wearable EEG signals monitoring device and the commonly used wearable EEG devices were introduced. Key technologies for wearable EEG signals-based depression recognition and the existing technical limitations were reviewed and discussed. Finally, a closed-loop brain-computer music interface system for personalized depression intervention was proposed, and the technical challenges were further discussed. This review paper may contribute to the transformation of relevant theories and technologies from basic research to application, and further advance the process of depression screening and personalized intervention.
Humans
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Algorithms
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Depression/therapy*
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Music
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Music Therapy
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Electroencephalography
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Wearable Electronic Devices