Abstract: A medication concentration detecting device includes a medicine container, a three-way pipe, a light emitting member, a first light receiver and a processor. The medicine container has a chamber configured for accommodating nebulized medicine. The three-way pipe has a passageway connected to the chamber for the nebulized medicine to flow along the passageway. The light emitting member is disposed on the three-way pipe and configured for emitting a light beam toward the passageway. The first light receiver is disposed on the three-way pipe and configured for receiving the light beam and outputting a luminous flux signal. The processor is connected to the first light receiver and configured for calculating a luminous flux reference value according to the luminous flux signal. The luminous flux reference value is used for determining whether outputs a low nebulized medicine concentration warning.

Abstract: An intraocular pressure detecting device includes a pressure generation unit, a light source, an image sensing unit and a processing unit. The pressure generation unit applies pressure to a target surface of an eyeball along a first operation axis direction, such that a deformation is generated on the target surface. The light source emits light that irradiates the target surface along a second operation axis direction, so as to generate a speckle pattern on the target surface. The image sensing unit observes and records an image variation of the speckle pattern along a third operation axis direction. The processing unit is signally connected with the image sensing unit to receive an image of the speckle pattern. The processing unit identifies and analyzes a feature size of the image of the speckle pattern for obtaining an intraocular pressure value of the eyeball. An intraocular pressure detecting method is also described.

Abstract: An intraocular pressure detecting device includes a pressure generation unit, a light source, an image sensing unit and a processing unit. The pressure generation unit applies pressure to a target surface of an eyeball along a first operation axis direction, such that a deformation is generated on the target surface. The light source emits light that irradiates the target surface along a second operation axis direction, so as to generate a speckle pattern on the target surface. The image sensing unit observes and records an image variation of the speckle pattern along a third operation axis direction. The processing unit is signally connected with the image sensing unit to receive an image of the speckle pattern. The processing unit identifies and analyzes a feature size of the image of the speckle pattern for obtaining an intraocular pressure value of the eyeball. An intraocular pressure detecting method is also described.

Abstract: A medication concentration detecting device includes a medicine container, a three-way pipe, a light emitting member, a first light receiver and a processor. The medicine container has a chamber configured for accommodating nebulized medicine. The three-way pipe has a passageway connected to the chamber for the nebulized medicine to flow along the passageway. The light emitting member is disposed on the three-way pipe and configured for emitting a light beam toward the passageway. The first light receiver is disposed on the three-way pipe and configured for receiving the light beam and outputting a luminous flux signal. The processor is connected to the first light receiver and configured for calculating a luminous flux reference value according to the luminous flux signal. The luminous flux reference value is used for determining whether outputs a low nebulized medicine concentration warning.

Abstract: An apparatus and a method for processing signal are provided. The signal processing apparatus comprises an input interface and a processing unit. The input interface receives smoothing parameters and a to-be-separated signal. The processing unit establishes an upper extreme envelope and a lower extreme envelope of the to-be-separated signal, and calculates a mean envelope between the upper extreme envelope and the lower extreme envelope. The processing unit performs smoothing according to the smoothing parameters and the mean envelope to generate a smoothed mean envelope, and determines a trend component or a non-trend component according to the smoothed mean envelope.

Abstract: An interactive rehabilitation method for movement of upper and lower extremities is disclosed. An identification label of an extracted image is detected to provide an operating position of an image of an extremity. A movement mode for a target image is determined according to the identification label and the target image is displayed in a scene. It is determined whether identification labels corresponding to movement of an extremity of the target image are being continuously obtained, and, if so, the performance of the movement of the extremity is led based on operational guidance. A feedback operation is provided according to the movement of the extremity, preset movement paths and velocities, and targeted positions of the target image. It is determined whether the target image has been moved to the preset targeted positions, and, if so, the performance of the movement of the extremity is graded.

Abstract: A time domain signal analysis method is provided. The signal analysis method includes the following steps. A signal to be analyzed is received. The signal to be analyzed is iteratively sifted by using Empirical Mode Decomposition (EMD) to extract at least one intrinsic function (IMF). A normalized Hilbert transform is performed on the IMF. The transformed IMF includes phase information. The transformed IMF is processed by means of phase processing to obtain the processed IMF including angular frequency information. The foregoing signal analysis method could be utilized in an ultrasound imaging system to identify image information of ultrasound images.

Abstract: A method for evaluation of renal perfusion with power Doppler ultrasonography is disclosed in the present invention. Serial renal vascular images at different vascular areas including the whole vascular tree, interlobar, arcuate, and interlobular vessels were captured. Imaging processing software was designed to analyze the changes of power Doppler intensity of colored pixels within regions of interest (ROI). Power Doppler Vascularity index (PDVI) has been defined as the percentage of vascular perfusion within a region of interest (ROI). The renal vascular perfusion index (RVPI) is defined as the maximal power Doppler vascular index divided by minimal power Doppler vascular index (PDVImax/PDVImin) among the serial images. The mean of weighted power Doppler vascular index (WPDVImean) is defined as the average of the intensity of color pixels among the ROI within the serial images.

Abstract: An aortic artery measuring probe, device and a method of measuring the diameter of the aortic artery are provided. The aortic artery measuring device includes the aortic artery measuring probe and a signal processing module electrically connected to the aortic artery measuring probe. The aortic artery measuring probe includes a flexible substrate and a sensor array disposed thereon, wherein the sensor array includes M×N ultra-wideband sensors. The ultra-wideband sensors is positioned on a subject and the flexible substrate is deformed to a profile conforming to the profile of the subject. The ultra-wideband sensors transmit a radio wave into the subject and then the radio wave is reflected by a tissue interface of the artery wall of the aortic artery to form a reflected signal. The ultra-wideband sensors receive the reflected signal and the signal processing module analyzes the reflected signal to define the diameter of the aortic artery.

Abstract: An image processing method is provided. The image processing method includes the following steps. A plurality of raw signal is received by a signal transceiving module of the ultrasound imaging system. It is determined whether each of the raw signals satisfies any condition in a condition group, and the raw signal satisfying any condition in the condition group is mapped to one of a plurality of preset constants to generate a plurality of first data. The raw signals not satisfying any condition in the condition group are processed according to a calculation formula to generate a plurality of second data. A beamforming procedure is simultaneously performed on the first and second data to obtain a beamformed image. The beamformed image is transformed to obtain an image of a region to be detected. Furthermore, an imaging system using the foregoing image processing method is also provided.

Abstract: Systems and methods for measuring flow velocities, including ultrasound systems, are provided. A Doppler angle between a direction of ultrasound signals and an axis of a flow may be estimated to improve the accuracy of the flow velocity estimation that is based on Doppler effects. A sensor may be mounted on or in an ultrasound probe to obtain a reference orientation of the ultrasound probe and an orientation of the ultrasound probe relative to the reference orientation when the ultrasound probe is moved to other positions. The Doppler angle may be estimated based on the orientation of the ultrasound probe.

Abstract: A blood parameter measuring device and a method for measuring a blood parameter are provided. The blood parameter measuring device includes an emitted source, a receiver module, and an actuator. The emitted source is disposed at a side of a tissue to be analyzed and provides at least two different wavelengths of radiation. The receiver module is disposed at another side of the tissue to be analyzed to receive the attenuated radiation produced by the emitted source. The actuator is connected to at least one of the emitted source and the receiver module. The actuator generates a driving force to make the emitted source and the receiver module contacts the tissue to be analyzed, thereby imposing a normal stress on a surface of the tissue to be analyzed to change a wave path between the emitted source and the receiver module.

Abstract: An image processing method is provided. The image processing method includes the following steps. A plurality of raw signal is received by a signal transceiving module of the ultrasound imaging system. It is determined whether each of the raw signals satisfies any condition in a condition group, and the raw signal satisfying any condition in the condition group is mapped to one of a plurality of preset constants to generate a plurality of first data. The raw signals not satisfying any condition in the condition group are processed according to a calculation formula to generate a plurality of second data. A beamforming procedure is simultaneously performed on the first and second data to obtain a beamformed image. The beamformed image is transformed to obtain an image of a region to be detected. Furthermore, an imaging system using the foregoing image processing method is also provided.

Abstract: A time domain signal analysis method is provided. The signal analysis method includes the following steps. A signal to be analyzed is received. The signal to be analyzed is iteratively sifted by using Empirical Mode Decomposition (EMD) to extract at least one intrinsic function (IMF). A normalized Hilbert transform is performed on the IMF. The transformed IMF includes phase information. The transformed IMF is processed by means of phase processing to obtain the processed IMF including angular frequency information. The foregoing signal analysis method could be utilized in an ultrasound imaging system to identify image information of ultrasound images.

Abstract: A multi-dimensional empirical mode decomposition method is provided. The method can be applied in image texture analysis, such as medical image analysis. The method can adaptively decompose a three-dimensional image into a number of characteristic image layers and extract characteristic images showing more noticeable textures from the layers. The method uses the physical concept of field to perform the data mode decomposition to obtain envelope and tendency estimation of multi-dimensional data. The method can also be applied in time and frequency analysis of two-dimensional data or multi-channel data.

Abstract: A force sensing device and a force sensing system are provided. The force sensing device comprises at least one magnetic material layer and a force sensing layer which can move with respect to each other. The force sensing layer comprises two sensing elements. The first sensing element, disposed along a first axis of the magnetic material layer, generates a sensing signal varying with a first lateral force applied on the force sensing device. The first lateral force enables the first sensing element to move relatively with respect to the magnetic material layer along the first axis. The second sensing element, disposed along a second axis of the magnetic material layer, generates a sensing signal varying with a second lateral force applied on the force sensing device. The second lateral force enables the second sensing element to move relatively with respect to the magnetic material layer along the second axis.

Abstract: An apparatus and a method for processing signal are provided. The signal processing apparatus comprises an input interface and a processing unit. The input interface receives smoothing parameters and a to-be-separated signal. The processing unit establishes an upper extreme envelope and a lower extreme envelope of the to-be-separated signal, and calculates a mean envelope between the upper extreme envelope and the lower extreme envelope. The processing unit performs smoothing according to the smoothing parameters and the mean envelope to generate a smoothed mean envelope, and determines a trend component or a non-trend component according to the smoothed mean envelope.

Abstract: A method for discriminating heart sound is provided. The method comprises the following steps. A heart-sound signal is provided. A specific function calculation is performed on the heart-sound signal to generate a first calculation signal and suppress the noise of the heart-sound signal. The filtering signal is transformed to generate data for an image plots. The image plot corresponding to the data generated in the previous step is generated and compared with data of heart-sound plots and the comparison result is used for discriminating the heart sound.

Abstract: An apparatus and a method for adaptive adaptive time-frequency analysis are suitable for nonlinear and nonstationary signal analyses. The method includes the following steps. A plurality of positions of local extrema of a signal is determined. Average frequencies between the local extrema and mean energy distribution corresponding thereto are estimated according to the positions of the local extrema of the signal. The estimated instantaneous energy distribution of the signal is determined by way of optimization according to each of the mean energy distribution between the local extrema. Finally, an instantaneous frequency of the signal is estimated according to the estimated instantaneous energy distribution of the signal.

Abstract: Disclosed is a method for detecting the degree of malignancy in tumors noninvasively, which comprises the steps of: using a Power Doppler ultrasound unit to scan a tumor and capture sequential color imagines in a complete heartbeat cycle, and choosing an area of interest (AREA_ROI) from the images; labeling pixels reflecting signals of bloodflow in the imagines during one heartbeat cycle to contour an area of tumor blood vessels (AREA_vessel); calculating a difference of PDVI between maximal systolic pressure and diastolic pressure during the heartbeat cycle to obtain tumor differential vascularity index (TDVI), in which PDVI is the ratio obtained by dividing pixels of AREA_vessel by a total area in the section of AREA_ROI; and determining the degree of malignancy by the TDVI. The method of the present invention can be applied to monitor the response of tumor to clinical treatment.