Abstract: A wound multiple sensing method, including: calculating the similarity between the current data sequence and each of the case-data sequences in each of the reference cases; selecting the case-data sequence which has the greatest similarity with the current data sequence, from the case-data sequences in each of the reference cases, to be a similar case-data sequence in each of the reference cases, wherein each similar case-data sequence corresponds to a similar case treatment; performing a multiple regression analysis using the similar case-data sequences and the similar case treatments to calculate a fitness function, wherein the dependent variable of the fitness function is a wound change; performing a parameter optimization algorithm using the current data sequence and the fitness function to calculate an optimal treatment which maximizes the wound change, and to calculate an expected wound change value that corresponds to the optimal treatment.

Abstract: A portable medical device includes a portable medical bag, a plurality of connectors and a processor. These connectors respectively connect the portable medical bag and every medical device contained inside the portable medical bag. The portable medical bag obtains the device management information of each the medical device through these connectors. The device management information includes the remaining power of medical device. The processor calculates the charge strategy information of the corresponding medical device according to the medical device information, address information and device management information. In addition, a management method for portable medical device is also provided.

Abstract: A wound multiple sensing method, including: calculating the similarity between the current data sequence and each of the case-data sequences in each of the reference cases; selecting the case-data sequence which has the greatest similarity with the current data sequence, from the case-data sequences in each of the reference cases, to be a similar case-data sequence in each of the reference cases, wherein each similar case-data sequence corresponds to a similar case treatment; performing a multiple regression analysis using the similar case-data sequences and the similar case treatments to calculate a fitness function, wherein the dependent variable of the fitness function is a wound change; performing a parameter optimization algorithm using the current data sequence and the fitness function to calculate an optimal treatment which maximizes the wound change, and to calculate an expected wound change value that corresponds to the optimal treatment.

Abstract: A positioning guidance method for tooth brackets is provided. The positioning guidance method includes: obtaining, via an image capturing unit, an oral image; obtaining, via a processor, a position of a candidate tooth according to the contour of a plurality of teeth in the oral image; obtaining, via the processor, a bracket setting position corresponding to the candidate tooth by accessing dental model information from a storage device according to the position of the candidate tooth; obtaining, via the processor, a bracket image corresponding to a bracket from the oral image; and displaying, via the processor, guidance indication on a display unit according to a bracket position corresponding to the bracket image and the bracket setting position.

Abstract: A wound treatment recommendation method includes: storing a database; receiving a wound characterization record; generating a current data sequence according to the wound observation data in the wound characterization record; calculating similarity parameters of the current data sequence to each of case data sequences; regarding one of the similarity parameters with a highest restoration parameters and under a similarity threshold as the best case; selecting the questions used in the best case, excluding a plurality of existed questions in a questionnaire record, so as to establish a suggested questionnaire, and obtaining a plurality of answers of the suggested questionnaire; including all multiple reference cases within a specific range of values in each of the answers; and selecting multiple treatment cases including a nice recovery record from a plurality of treatment groups as at least one recommended treatment.

Abstract: A positioning guidance method for tooth brackets is provided. The positioning guidance method includes: obtaining, via an image capturing unit, an oral image; obtaining, via a processor, a position of a candidate tooth according to the contour of a plurality of teeth in the oral image; obtaining, via the processor, a bracket setting position corresponding to the candidate tooth by accessing dental model information from a storage device according to the position of the candidate tooth; obtaining, via the processor, a bracket image corresponding to a bracket from the oral image; and displaying, via the processor, guidance indication on a display unit according to a bracket position corresponding to the bracket image and the bracket setting position.

Abstract: A medical image comparison method is firstly to obtain plural images of the same body at different time points. Then, obtain a first feature point group by detecting feature points in the first image captured at a first time point, and a second feature point group by identifying feature points in the second image captured at a second time point. An overlapping image information is generated by aligning the second image with the first image according to the first and second feature point groups. Then, window areas corresponding to a first matching image and a second matching image of the overlapping image information are extracted one by one by sliding a window mask, and an image difference ratio for each of the window areas is calculated. In addition, a medical image comparison system is also provided.

Abstract: A medical image comparison method is firstly to obtain plural images of the same body at different time points. Then, obtain a first feature point group by detecting feature points in the first image captured at a first time point, and a second feature point group by identifying feature points in the second image captured at a second time point. An overlapping image information is generated by aligning the second image with the first image according to the first and second feature point groups. Then, window areas corresponding to a first matching image and a second matching image of the overlapping image information are extracted one by one by sliding a window mask, and an image difference ratio for each of the window areas is calculated. In addition, a medical image comparison system is also provided.

Abstract: A system for analyzing wound status is provided. The system includes an image obtaining device and an image analyzing device. The image obtaining device is configured to obtain a plurality of infrared (IR) images which are photographed from a wound of a user's body portion, wherein the plurality of IR images are photographed at different time. The image analyzing device is configured to align the plurality of IR images based on features of non-wound regions from the plurality of IR images, and then analyze wound image regions from the plurality of IR images for finding out variations of the wound.

Abstract: A system for analyzing wound status is provided. The system includes an image obtaining device and an image analyzing device. The image obtaining device is configured to obtain a plurality of infrared (IR) images which are photographed from a wound of a user's body portion, wherein the plurality of IR images are photographed at different time. The image analyzing device is configured to align the plurality of IR images based on features of non-wound regions from the plurality of IR images, and then analyze wound image regions from the plurality of IR images for finding out variations of the wound.

Abstract: A system for object recognition includes an image/spectrum sensing device, to fetch an object image from a real object and sense spectra at sensing regions of the real object. A fetching module obtains a real-object image feature pattern for each ROI of the object image. An analyzing module for object image feature searches for a first candidate object from data bank and analyzes a correlation between the real object and candidate object. A fetching module for object spectrum feature obtains a real-object spectrum pattern for each ROI of the object image. An analyzing module for object spectrum feature is to search for a second candidate object from data bank and to further analyze a match level between the real-object and the second candidate object. A fusion module further analyzes information of image feature and spectrum feature find whether or not having a matched object as an identify object.

Abstract: A diet ingestion analyzing method is provided. The diet ingestion analyzing method includes the following steps. A plurality of nutrition amounts of a plurality of diet records are calculated according to a food nutrition database. A plurality of specific diet records corresponding a specific time are obtained from the diet records. A nutrition ingestion ratio of a total of a plurality of nutrition amounts of the specific diet records to a total of the nutrition amounts of the diet records is generated. A nutrition recommendation is generated according to a nutrition recommended range and the nutrition ingestion ratio. A plurality of selected records is selected from the specific diet records. Whether each of a plurality of nutrition amounts of the selected records is abnormal or not is determined according to the nutrition recommendation. A diet model is constructed and an abnormal food is marked according to the selected records.

Abstract: A system for object recognition includes an image/spectrum sensing device, to fetch an object image from a real object and sense spectra at sensing regions of the real object. A fetching module obtains a real-object image feature pattern for each ROI of the object image. An analyzing module for object image feature searches for a first candidate object from data bank and analyzes a correlation between the real object and candidate object. A fetching module for object spectrum feature obtains a real-object spectrum pattern for each ROI of the object image. An analyzing module for object spectrum feature is to search for a second candidate object from data bank and to further analyze a match level between the real-object and the second candidate object. A fusion module further analyzes information of image feature and spectrum feature find whether or not having a matched object as an identify object.

Abstract: A health check evaluation indicator building method includes the following steps. A visualization process is performed to produce source graphic data on a plurality of features and attributes according to a time series, wherein each of the source graphic data includes a group number. Then, a similarity comparison is performed between the source graphic data and a plurality of target graphic data with the same group number to produce a plurality of similarity scores, where the minimum thereof corresponds to role model graphic data. Based on the role model graphic data, one of a best proposal and an alternative proposal is selected and a result thereof is fed back after execution. A health check evaluation indicator building system and a computer readable medium to embody the above method are also disclosed.

Abstract: A method for matching social network participants includes receiving activity data pertaining to a plurality of participants in a social network. The activity data is parsed to generate activity pattern summaries for each of the participants. The participants are clustered into a plurality of groups according to the activity pattern summaries. At least one participant of influence is determined within at least one group according to the activity data. A social connection is established within the social network between the determined participant of influence and at least one other participant clustered into the same group.

Abstract: A health check path evaluation indicator building system and a method thereof, a device therewith and a computer program product thereof are provided. The health check evaluation indicator building method includes the following steps. A visualization process is performed to produce source graphic data on a plurality of features and attributes according to a time series, wherein each of the source graphic data includes a group number. Then, a similarity comparison is performed between the source graphic data and a plurality of target graphic data with the same group number to produce a plurality of similarity scores, where the minimum thereof corresponds to role model graphic data. Based on the role model graphic data, one of a best proposal and an alternative proposal is selected and a result thereof is fed back after execution. The disclosure also includes the health check evaluation indicator building system to embody the above method.

Abstract: An object detection method and an object detection system, suitable for detecting moving object information of a video stream having a plurality of images, are provided. The method performs a moving object foreground detection on each of the images, so as to obtain a first foreground detection image comprising a plurality of moving objects. The method also performs a texture object foreground detection on each of the images, so as to obtain a second foreground detection image comprising a plurality of texture objects. The moving objects in the first foreground detection image and the texture objects in the second foreground detection image are selected and filtered, and then the remaining moving objects or texture objects after the filtering are output as real moving object information.

Abstract: A moving object detection method and a moving object detection apparatus based on a compressed domain are disclosed. In the method, compressed video data and pixel video data are received. Moving object information in the first compressed video data is detected and integrated into the pixel video data. The pixel video data containing the moving object information is output.

Abstract: Methods and systems are disclosed for processing compressed video images. A processor detects a candidate object region from the compressed video images. The candidate object region includes a moving object and a shadow associated with the moving object. For each data block in the candidate object region, the processor calculates an amount of encoding data used to encode temporal changes in the respective data block. The processor then identifies the shadow in the candidate object region composed of data blocks each having the amount of encoding data below a threshold value.

Abstract: An object detection method and an object detection system, suitable for detecting moving object information of a video stream having a plurality of images, are provided. The method performs a moving object foreground detection on each of the images, so as to obtain a first foreground detection image comprising a plurality of moving objects. The method also performs a texture object foreground detection on each of the images, so as to obtain a second foreground detection image comprising a plurality of texture objects. The moving objects in the first foreground detection image and the texture objects in the second foreground detection image are selected and filtered, and then the remaining moving objects or texture objects after the filtering are output as real moving object information.