Abstract: A portable nebulizer provided by the invention is particularly suitable for using with a liquid contained in a capsule or in a container made of a disposable material that can be easily damaged, the portable nebulizer comprises a driving unit for driving an atomizing unit, and a containing unit for containing the container, the containing unit has a breaking part for breaking the container to facilitate outflow of the liquid, after the liquid flows into an inner space of a main body of the containing unit because the container is damaged by the breaking part, the liquid can be atomized by the atomizing unit to produce a mist capable of escaping to the outside of the main body for a user to use the liquid mist conveniently.

Abstract: An atomizing apparatus for development of biological trace evidence comprises a container which has an opening and a housing space communicating with the opening, a trace evidence developing solution held in the housing space to develop a biological trace evidence and an atomizer located in the opening. The atomizer includes a piezoelectric vibration element in contact with the trace evidence developing solution. The piezoelectric vibration element can shake the trace evidence developing solution via high frequency vibration to form a plurality of small liquid particles to be discharged outside the container. The small liquid particles of the trace evidence developing solution pass through the opening and spray directly on the biological trace evidence to generate an oxidized reduction reaction therewith to produce colored substance to reveal the biological trace evidence in a visible fashion.

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: 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: 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 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: 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.