Abstract: A biological signal detection method includes obtaining a bioelectric signal and recording the signal strengths of a plurality of points in the bioelectric signal as a sequence S1=(Xn)n?N ; converting the sequence S1 into a sequence S 2 = ( Y 1 , Y 2 , Y 3 , … ? , Y j ) , ? { Y j = a , X i + 1 > X i Y j = b , X i + 1 < X i , 1 ? i ? n , 1 ? j ? ( n - 1 ) ; obtaining a group of sub-sequence Dk=(Yk)j?k?j+m from the sequence S2 with at least one arranging length (m+1), wherein 1?k?(n?1?m); counting the number of occurrences of every arrangement in the group of sub-sequence Dk and deciding a characteristic arrangement in the arrangements of the group of sub-sequence Dk; and comparing the sum of the numbers of occurrences of the characteristic arrangements in the group of sub-sequence Dk with a standard threshold, so as to identify a physiological information behind the bioelectric signal.

Abstract: The present invention relates to a composition for treating tumor comprising an effective amount of leaf juice of Plectranthus amboinicus. The present invention also provides a method for producing the composition.

Abstract: A system and method for analyzing a biochip are provided. Wherein, a first modulator circuit outputs a first modulated signal with a first frequency. A first light source module output a first light beam based on the first modulated signal. A first optical signal is generated after the first light beam being emitted onto the biochip. An optical sensing module sense the first optical signal and outputting a first sensing signal. A first filter circuit filters the first sensing signal and outputting a first portion sensing signal. A first demodulator circuit demodulates the first portion sensing signal and outputting a first demodulated signal. An analog to digital converter convert the first demodulated signal to a first digital signal. A signal display module receives and display the first digital signal.

Abstract: An automatic diagnosing method for the autonomic nervous system and a device thereof are described. The device comprises a sensor, a computing device and an output device. An electrode of the sensor is adhered to the skin surface of a subject to detect and output the heart beat signal of the subject. The computing device collects the heart beat signal from the electrodes through the signal collection leads. The computing device further amplifies, filters, digitizes and transforms the heart beat signals into a plurality of heart rate variability parameters. Further, calculations, validation and analysis are performed on these parameters. After selecting a corresponding diagnosis description statement from a lookup table in a database, an examination report, which incorporates the diagnosis description statement and the heart rate variability parameters is output.

Abstract: A mycobacterial disease microarray detection chip includes a plurality of probes immobilized on a matrix, wherein each of the probe is selected from the group of deoxyribonucleotide sequences depicted in the SEQ ID NOs. 1 to 66. Since these probes are formed with deoxyribonucleotide sequences specific to mycobacterial disease, they can be used to detect whether the patient has contracted mycobacterial disease and the mycobacterial disease pathogen infected the patient has drug resistance.

Abstract: A sepsis microarray detection chip includes a plurality of probes immobilized on a matrix, wherein each probe is selected from the group of deoxyribonucleotide sequences depicted in the SEQ ID NOs. 1 to 66. Since these probes are formed with deoxyribonucleotide sequences specific to sepsis, they can be used to detect sepsis.

Abstract: A meningitis microarray detection chip includes a plurality of probes immobilized on a matrix, wherein each probe is selected from the group of deoxyribonucleotide sequences assigned to the SEQ ID NOs. 1 to 61. Since these probes are formed with deoxyribonucleotide sequences specific to meningitis, they can be used to detect meningitis.

Abstract: An audio/video IP camera having a digital video unit, a digital audio unit, a system control user interface and a digital audio/video processor. The digital video unit generates digital video data and the digital audio unit generates digital audio data. The system control user interface controls the camera. The digital audio/video processor connects with the digital video unit, the digital audio unit and the system control user interface for processing audio/video data synchronously and transmitting the data to a monitoring terminal in real time via a network. The monitoring terminal registers the audio/video data using a digital camera or broadcasts the synchronous audio/video data through a web browser.

Abstract: An authentication system is disclosed. The authentication system comprises an artificial intelligent device is connected to a network server via either wired or wireless communication network system. The authentication system comprises a processor for analyzing said fingerprint digitized data, a comparator matches the fingerprint data to historical fingerprint data maintained in a database to verify and to establish the authenticity of the fingerprint and an access mechanism for allowing or denying an authorized user to access the secured site.

Abstract: A wireless message informing system is provided for use in a portable communication device and an announcing device. The wireless message informing system includes a local transmitting device and a remote receiving device. The local transmitting device and the remote receiving device are coupled together electromagnetically. The local transmitting device is configured in the portable communication device while the remote receiving device is coupled to the announcing device. When the local transmitting device receives a wireless signal, it outputs a triggering signal. After the remote receiving device receives the triggering signal, it feeds a driving signal into the announcing device so that the announcing device outputs an informing signal for notifying a user.