Abstract: A method and an apparatus for impact position detection of impact sport equipment are provided. The method includes following steps: retrieving a vibration signal generated by a vibration sensor detecting vibration caused by impact of impact sport equipment and a ball; performing a spectrum analysis on the vibration signal to obtain eigenfrequencies of the vibration signal in a frequency domain; and calculating at least one piece of characteristic information by using an amplitude of each eigenfrequency and inputting the same into a prediction model established in advance by using machine learning, so as to estimate an impact position of the ball on the impact sport equipment, in which the prediction model is trained by using characteristic information of multiple vibration signals and corresponding impact positions.

Abstract: A method and an apparatus for impact position detection of impact sport equipment are provided. The method includes following steps: retrieving a vibration signal generated by a vibration sensor detecting vibration caused by impact of impact sport equipment and a ball; performing a spectrum analysis on the vibration signal to obtain eigenfrequencies of the vibration signal in a frequency domain; and calculating at least one piece of characteristic information by using an amplitude of each eigenfrequency and inputting the same into a prediction model established in advance by using machine learning, so as to estimate an impact position of the ball on the impact sport equipment, in which the prediction model is trained by using characteristic information of multiple vibration signals and corresponding impact positions.

Abstract: A self-driven microfluidic chip for rapid influenza A detection is provided. The chip includes: a substrate, a hydrophobic layer, a hydrophilic film layer, and a channel structure layer laminated sequentially. The structure of the channel structure layer includes a plurality of channels, a plurality of valves and reaction chambers in the channels, and a plurality of openings, wherein the hydrophilic film layer includes a pattern corresponding to the structure of the channel structure layer, and forms a disconnected area corresponding to the location of the valves to make the valves hydrophobic; the channel structure layer is formed of a flexible material, and heights of the valves are higher than those of the channels in a thickness direction of the channel structure layer in order to control liquid flow by pressing the valves.

Abstract: A tele-care management system for peritoneal dialysis (PD) includes at least a container, a holder, a removable detection device and a mobile device. The container is for placing effluent fluid of peritoneal dialysis. The holder is for placing the container. The removable detection device includes a detection unit, a processor and a communication interface, wherein the processor detects the turbidity and the chrominance of the effluent fluid and performs a quantitative analysis on the effluent fluid, and generates a turbidity prediction value based on the detection result of the detection unit. The processor respectively calculates first and second turbidity values, which correspond to first and second turbidity respectively, for the effluent fluid according to first and second algorithms and selects one from the first and second turbidity values to generate the turbidity prediction value based on a predetermined threshold value sent to a mobile device for further processing.

Abstract: A tele-care management system for peritoneal dialysis (PD) includes at least a container, a holder, a removable detection device and a mobile device. The container is for placing effluent fluid of peritoneal dialysis. The holder is for placing the container. The removable detection device includes a detection unit, a processor and a communication interface, wherein the processor detects the turbidity and the chrominance of the effluent fluid and performs a quantitative analysis on the effluent fluid, and generates a turbidity prediction value based on the detection result of the detection unit. The processor respectively calculates first and second turbidity values, which correspond to first and second turbidity respectively, for the effluent fluid according to first and second algorithms and selects one from the first and second turbidity values to generate the turbidity prediction value based on a predetermined threshold value sent to a mobile device for further processing.

Abstract: The present invention proposes a relaxation state evaluation system and method and a computer program product thereof. The method comprises steps: measuring ECG data of a user; analyzing the ECG data to generate a first, second, third and fourth parameters, wherein the first parameter is the short-scale entropy slope of the user before cardiovascular disease treatment (CVDT); the second parameter is the difference of the post-CVDT and pre-CVDT mean RR intervals; the third parameter is the logarithm of the variance of the pre-CVDT high frequency NN intervals; the fourth parameter is the logarithm of the ratio of the variances of the pre-CVDT low frequency and high frequency NN intervals; working out an evaluation index, which is a function of the abovementioned parameters; and evaluating the relaxation state of the user, wherein the user is determined to be in a relaxation state if the evaluation index is over a threshold.

Abstract: An image analysis method and an apparatus thereof for assessment of PD (peritoneal dialysis) complications in peritoneal dialysis are provided. An analysis procedure is executed on an image under test of a dialysis bag, so as to obtain a color location in a color space corresponding to the image under test. A prompt signal is sent when the color locations obtained in a time period gradually become close to a disease warning range after executing the analysis procedure on a plurality of images under test.

Abstract: An image analysis method and an apparatus thereof for assessment of PD (peritoneal dialysis) complications in peritoneal dialysis are provided. An analysis procedure is executed on an image under test of a dialysis bag, so as to obtain a color location in a color space corresponding to the image under test. A prompt signal is sent when the color locations obtained in a time period gradually become close to a disease warning range after executing the analysis procedure on a plurality of images under test.

Abstract: A closed-loop brain stimulation apparatus and a method for generating a stimulation voltage thereof are provided. The closed-loop brain stimulation apparatus includes a brain signal receiving apparatus, a controller and a stimulation voltage generator. The brain signal receiving apparatus receives a plurality of brain signals. The controller performs phase correlation operations on the brain signals during a plurality continuous time periods respectively for obtaining a plurality of phase operation values, and generates a stimulation enable signal according to the phase operation values. The stimulation voltage generator generates a stimulation voltage according to the stimulation enable signal, and transports the stimulation voltage to an electrode pair.

Abstract: The present invention proposes a relaxation state evaluation system and method and a computer program product thereof. The method comprises steps: measuring ECG data of a user; analyzing the ECG data to generate a first, second, third and fourth parameters, wherein the first parameter is the short-scale entropy slope of the user before cardiovascular disease treatment (CVDT); the second parameter is the difference of the post-CVDT and pre-CVDT mean RR intervals; the third parameter is the logarithm of the variance of the pre-CVDT high frequency NN intervals; the fourth parameter is the logarithm of the ratio of the variances of the pre-CVDT low frequency and high frequency NN intervals; working out an evaluation index, which is a function of the abovementioned parameters; and evaluating the relaxation state of the user, wherein the user is determined to be in a relaxation state if the evaluation index is over a threshold.

Abstract: A scalable Multiple-Input Multiple-Output (MIMO) detector, comprises an ordering block, a group interference suppression block, a core detector and a residual detector. The ordering block determines an order of the columns of a channel matrix including received streams based on the power thereof. The group interference suppression block coupled to the ordering block groups received streams into a core part and a residual part, the core part including a first received stream and a second received stream corresponding to the first two columns of the channel matrix in the order, the first received stream and the second received stream forming a received signal vector, and the residual part including the rest of the received streams. The core detector detects the core part based on a 2×2 Simplified Maximum Likelihood (SML) detection. The residual detector detects the residual part by Vertical Bell Laboratories Layered Space Time (VBLAST) detection.

Abstract: A method and apparatus for transmitting data in a MIMO communication system, the method including encoding at least one data symbol by implementing a first precoding scheme, the first preceding scheme including a precoder derived from a first channel state information (CSI). The method further includes selecting at least one antenna that maximizes the first CSI, the at least one antenna being selected by implementing a first selection scheme, and transmitting the at least one data symbol via the at least one antenna.

Abstract: A scalable Multiple-Input Multiple-Output (MIMO) detector, comprises an ordering block, a group interference suppression block, a core detector and a residual detector. The ordering block determines an order of the columns of a channel matrix including received streams based on the power thereof. The group interference suppression block coupled to the ordering block groups received streams into a core part and a residual part, the core part including a first received stream and a second received stream corresponding to the first two columns of the channel matrix in the order, the first received stream and the second received stream forming a received signal vector, and the residual part including the rest of the received streams. The core detector detects the core part based on a 2×2 Simplified Maximum Likelihood (SML) detection. The residual detector detects the residual part by Vertical Bell Laboratories Layered Space Time (VBLAST) detection.