Abstract: This application provides a method and apparatus of analyzing the ECG frequency parameters with applications for the diagnosis of ST-segment elevation myocardial infarction (STEMI) diseases, which relates to the interdisciplinary field of biomedical and science engineering. The method includes obtaining ECG signals from subjects through the designed electrodes; calculating ECG frequency domain parameters of the subjects based on the proposed power spectrum model and getting the analytical validation results after studying and verifying the parameters; generating indicators based on the analytical validation results, which could be potentially used as alternative indicators for STEMI diagnosis; and alerting when the indicators meet preset abnormal conditions. The present embodiment is a powerful tool to diagnose STEMI diseases faster and more effectively and helps patients receive timely assistance and treatment.

Abstract: The present disclosure generally provides uses of certain mixed hydroxy- and methoxy-substituted flavones (HMFs) to reduce bitterness, astringency, or sourness, or to enhance sweetness of a ingestible composition, such as a flavored food or beverage product. In some embodiments, the disclosure provides uses of the HMFs disclosed herein to reduce the unpleasant taste of limonin, nomelin, or naringin, which can be present at elevated levels in certain citrus products.

Abstract: The present disclosure generally provides uses of certain mixed hydroxy- and methoxy-substituted flavanones (HMFs) to reduce bitterness, astringency, or sourness, or to enhance sweetness of a ingestible composition, such as a flavored food or beverage product. In some embodiments, the disclosure provides uses of the HMFs disclosed herein to reduce the unpleasant taste of limonin, nomelin, or naringin, which can be present at elevated levels in certain citrus products.

Abstract: The present invention relates to a wireless multi-modal tonoarteriogram (TAG) monitoring apparatus and system based on nail sensing. The invention relates to the field of blood pressure monitoring technology. The nail sensing based, wireless multi-modal tonoarteriogram monitoring apparatus comprises a nail patch, a plurality of sensors and a processing module, at least one first sensor of the plurality of sensors is arranged on the nail patch, the plurality of sensors are used for obtaining a biological signal at a fingernail; the processing module is used for obtaining a target physiological parameter according to the biological signal at fingernail, with the target physiological parameter comprising a central tonoarteriogram signal.

Abstract: A device includes: a complementary transistor including: a first transistor having a first source/drain region and a second source/drain region; and a second transistor stacked on the first transistor, and having a third source/drain region and a fourth source/drain region, the third source/drain region overlapping the first source/drain region, the fourth source/drain region overlapping the second source/drain region. The device further includes: a first source/drain contact electrically coupled to the third source/drain region; a second source/drain contact electrically coupled to the second source/drain region; a gate isolation structure adjacent the first and second transistors; and an interconnect structure electrically coupled to the first source/drain contact and the second source/drain contact.

Abstract: The present invention provides a deep learning-based wearable electro-tonoarteriography method and apparatus for the estimation of continuous arterial blood pressure, which relates to the technical fields of medical detection and artificial intelligence, and is applicable to, such as, tonoarteriogram (TAG, which is continuous arterial blood pressure) signal estimation and cardiac diseases detection. The method comprises: acquiring at least one lead ECG signal collected from a clothing and/or a wearable device worn by a subject of detection; processing the ECG signal based on a deep learning network, determining a signal processing result related to a tonoarteriogram information and/or related to a cardiac disease information. The present invention is advantageous in realizing the acquisition of continuous arterial blood pressure signal and/or the automatic diagnosis of cardiac disease on the basis of ensuring accuracy.

Abstract: The present invention relates to an AI-enhanced wearable photo-electro-tonoarteriography (PETAG) method and apparatus. The invention relates to the technical fields of medical detection and artificial intelligence, and is applicable to, such as, tonoarteriogram (TAG) signal estimation, which is continuous blood pressure and cardiac diseases detection. The method comprises: acquiring at least one lead electrocardiogram (ECG) signal and multi-wavelength photoplethysmogram signals (MWPPG signals); processing the ECG signal and the MWPPG signals by a multimodal model-based multi-task learning network, determining a signal processing result related to a TAG information and/or related to a cardiac disease information. The present invention is advantageous in reducing computational cost involved in signal processing on the basis of ensuring accuracy.

Abstract: The present invention provides a method and a device for calibrating a blood pressure estimation model for determining tonoarteriogram (TAG) signals, which relates to a cross field between biomedicine and scientific engineering.

Abstract: The present invention relates to a multi-modal sensor module, comprising an electrode base, an insulating film sheet, a functional layer and a protective film; the protective film is used for isolating external environment with a side away from the functional layer for use in contacting surface of biological tissues; the functional layer comprises a substrate and at least one sensor module provided in isolation in the substrate; a side of the electrode base away from the insulating film sheet is used for contacting surface of the biological tissues; the multi-modal sensor module is in a state of collecting electrocardiogram (ECG) signal, a side of the protective film away from the functional layer and a side of the electrode base away from the insulating film sheet are both for contacting surface of the biological tissues, so that the protective film, the biological tissues and the electrode base form an ECG signal collection path.

Abstract: The present invention provides a method, a device, an electronic apparatus, and a storage medium for processing multi-modal physiological signals, which relates to the field of health engineering. The method comprises: acquiring continuous target multi-modal physiological signals, the target multi-modal physiological signals comprise at least three target physiological signals of a target temperature signal, a target impedance plethysmogram (IPG) signal, a target electrocardiogram (ECG) signal, a target photoplethysmogram (PPG) signal and a target ultrasound signal; determining a continuous physiological information of a target subject, especially a continuous blood pressure information, according to the continuous target multi-modal physiological signals.

Abstract: The present relates to a yeast strain and use thereof and a preparation method of ergothioneine. The present invention relates to the field of biotechnology. The yeast strain is obtained through traditional mutagenesis and screening, and its deposit number is CCTCC M 20211505. The present invention provides a preparation method of ergothioneine. The preparation method of ergothioneine comprises: mixing the aforementioned yeast strain with a fermentation medium and an optional substrate, fermenting, and then homogenizing cells and separating to obtain ergothioneine. The aforementioned yeast strain can be used for the preparation of ergothioneine, and the ergothioneine prepared by the yeast strain has the advantages of high yield, low cost and fast preparation speed. The preparation method has the advantages of low cost, environmental protection, high product quality, high yield, less impurities, less drug residues, short fermentation period and the like.

Abstract: This application provides a method and apparatus of analyzing the ECG frequency parameters with applications for the diagnosis of ST-segment elevation myocardial infarction (STEMI) diseases, which relates to the interdisciplinary field of biomedical and science engineering. The method includes obtaining ECG signals from subjects through the designed electrodes; calculating ECG frequency domain parameters of the subjects based on the proposed power spectrum model and getting the analytical validation results after studying and verifying the parameters; generating indicators based on the analytical validation results, which could be potentially used as alternative indicators for STEMI diagnosis; and alerting when the indicators meet preset abnormal conditions. The present embodiment is a powerful tool to diagnose STEMI diseases faster and more effectively and helps patients receive timely assistance and treatment.

Abstract: The present invention provides a method and an apparatus for obtaining relevant characteristic parameters and indexes of tonoarteriogram (TAG) signals, relating to the technical field of blood pressure monitoring.