Abstract: A method for transmitting compressed brainwave physiological signals is provided and including detecting a plurality of brainwave physiological signals of a subject, and generating an electroencephalography based on a time sequence of the plurality of brainwave physiological signals; splitting the electroencephalography into a plurality of sub-images based on the time sequence; using a plurality of static feature tags and a plurality of dynamic displacement tags stored in a brainwave database to identify at least one static feature tag and a plurality of associated dynamic displacement tags based on the time sequence according to the plurality of sub-images; generating at least one superimposed group tag, the superposed group tag is used to integrate the identified static feature tag and the associated dynamic displacement tag according to the time sequence; and transmitting the identified static feature tag, the associated dynamic displacement tag, and the superimposed group tag to a remote cloud system acco

Abstract: An automatic evolution method used for a brainwave database which collects physiological information of brainwaves about healthy and clinical groups, the automatic evolution method includes: classifying the physiological information of brainwaves collected by the brainwave database according to data characteristics; establishing a feedback algorithm model based on a neural network architecture according to the physiological information of brainwaves classified by the parameters; using the feedback algorithm model to input a subject's physiological information of brainwaves; measuring an accuracy of the subsequent performance data calculated by the feedback algorithm model; and incorporating the physiological information of brainwaves of the subject into the brainwave database, establishing an updated feedback algorithm model based on an updated neural network architecture, and feeding a comparison result generated by the updated feedback algorithm model back to the subject.

Abstract: Provided is a method for long-distance transmission of physiological signals in a closed loop system, including generating a signal at a user terminal of the closed loop system, compressing the signal to generate a compressed signal, transmitting the compressed signal from the user terminal to a computing terminal of the closed loop system, receiving and comparing the compressed signal with a database at the computing terminal to generate a comparison result and a feedback signal, and transmitting the feedback signal from the computing terminal to the user terminal. A time interval between generating the signal and receiving the feedback signal at the user terminal is less than a threshold.

Abstract: A local wearable brain wave cap device for detection is provided to simultaneously detect brainwave and heart rate variability data of a subject and includes a brain wave detection cap, at least one ear electrode and a transmission unit. The brain wave detection cap includes a wearable device and a plurality of electrode units. The wearable device is suitable for arranging the plurality of electrode units on brain wave positions corresponding to head of a subject. Each of the plurality of electrode units includes an accelerator, a storage unit, an input/output unit and a primary amplifier for detecting a brain wave.

Abstract: A system for providing real-time biological feedback training through remote transmission is provided and includes a local brain wave collection device, a docking device, and a dongle. The local brain wave collection device is used to detect a brain wave and a heart rate variability data of a subject. The docking device communicates with the local brain wave collection device remotely to connect a remote cloud system to compare the brain wave and the heart rate variability data with a brain wave database to generate a comparison result, and according to the comparison result, the system provides the subject a feedback training interface.

Abstract: The present invention relates to a system for predicting an incidence of disease from genetic polymorphism and uses the prediction result to form a personal nutrition complex. The system collects at least one personal information and single nucleotide polymorphism (SNP) information then exchanges the above information with databases including a personal database, a genetic risk database, an allelic frequency database, and a prevalence database. Finally, the system will output a prediction report and indicates a risk of specific disease and a plurality of abnormal genes. According to the prediction results, the system also can provide a plurality of nutritional supplement ingredients to form a personal nutrition complex. Users can receive a comprehensive and an effective nutritional supplement countermeasure about abnormal genes for prevention of the specific disease.

Abstract: A DNA collection kit comprises a foldable collection rod, a collection bottle, and a buffer comprising ethylenediamine tetraacetic acid (EDTA) at a concentration from 20 mM to 60 mM. A method for using a DNA kit comprises the following steps: collecting DNA from a collection portion of the foldable collection rod of the DNA collection kit; breaking the foldable collection rod from the groove of the rod body to obtain a DNA-comprising collection portion; and putting the DNA-comprising collection portion into the collection bottle comprising the buffer to prolong the preservation time of the DNA, wherein the buffer comprises ethylenediamine tetraacetic acid (EDTA) at a concentration from 20 mM to 60 mM.