Abstract: The present disclosure relates to a therapeutic endoscope. The therapeutic endoscope includes a main body, an image sensor unit connected to the main body, and a cover attached to the main body. The cover includes a first opening adjacent to the image sensor unit, a second opening opposite to the first opening, and a sidewall extending between the first opening and the second opening. The sidewall of the cover includes a third opening connecting the first opening and the second opening. When the therapeutic endoscope is used by a user, the third opening is configured to be disposed on a right hand side or a left hand side of the user. The present disclosure also relates to a cover for a therapeutic endoscope.

Abstract: The present disclosure provides a system for predicting diabetic retinopathy progression. The system includes an image-capturing module and a processing unit. The image-capturing module is configured to capture a first fundus image of a user at a first time and a second fundus image of the user at a second time different from the first time. The processing unit is configured to receive the first fundus image and the second fundus image, compare the first fundus image and the second fundus image and indicate a difference between the first fundus image and the second fundus image. The processing unit is also configured to provide a prediction in a diabetic retinopathy progression of the user based on the difference. A method for predicting diabetic retinopathy progression is also provided in the present disclosure.

Abstract: The present disclosure relates to a therapeutic endoscope. The therapeutic endoscope includes a main body, an image sensor unit connected to the main body, and a cover attached to the main body. The cover includes a first opening adjacent to the image sensor unit, a second opening opposite to the first opening, and a sidewall extending between the first opening and the second opening. The sidewall of the cover includes a third opening connecting the first opening and the second opening. The present disclosure also relates to a cover for a therapeutic endoscope.

Abstract: The present disclosure provides a system for predicting diabetic retinopathy progression. The system includes an image-capturing module and a processing unit. The image-capturing module is configured to capture a first fundus image of a user at a first time and a second fundus image of the user at a second time different from the first time. The processing unit is configured to receive the first fundus image and the second fundus image, compare the first fundus image and the second fundus image and indicate a difference between the first fundus image and the second fundus image. The processing unit is also configured to provide a prediction in a diabetic retinopathy progression of the user based on the difference. A method for predicting diabetic retinopathy progression is also provided in the present disclosure.

Abstract: The present disclosure relates to a therapeutic endoscope. The therapeutic endoscope includes a main body, an image sensor unit connected to the main body, and a cover attached to the main body. The cover includes a first opening adjacent to the image sensor unit, a second opening opposite to the first opening, and a sidewall extending between the first opening and the second opening. The sidewall of the cover includes a third opening connecting the first opening and the second opening. The present disclosure also relates to a cover for a therapeutic endoscope.

Abstract: A method and system of obstructed area determination for sleep apnea syndrome are disclosed. The method comprising obtaining a snoring signal from an individual; obtaining a spectrogram of the snoring signal based on short-time Fourier Transform; obtaining a snoring signal feature based on a harmonic wave of the spectrogram; and obtaining a collapse index by comparing the snoring signal feature against a snoring signal feature-collapse index correlation database. The present invention enables the diagnosis of sleep apnea syndrome and determination the obstructed area for the sleep apnea syndrome with only the snoring signal of an individual during sleep.

Abstract: A hearing diagnosis device and a hearing diagnosis method are provided. The device includes a storage unit, an otoacoustic emission detecting module, and a hearing diagnosis management module. The storage unit stores a hearing diagnosis image sample database and a hearing information sample database. The otoacoustic emission detecting module is configured to perform an otoacoustic emission detecting operation by playing a test audio to an ear of a user to obtain a first hearing diagnosis image corresponding to the ear. The hearing diagnosis management module is configured to perform a hearing diagnosis operation according to the first hearing diagnosis image, a plurality of hearing diagnosis image samples of the hearing diagnosis image sample database, and a plurality of hearing information samples, respectively corresponding to the hearing diagnosis image samples, of the hearing information sample database, so as to determine first hearing information of the ear.

Abstract: The present invention provides a bed set for inhibition of obstructive sleep apnea, which includes: a sound receiving module, is used to receive a respiratory sound signal obtained from a user during a time period; a sound analyzing processor, which is connected with the sound receiving module, is used to obtain a snoring sound characteristic from the spectrum of respiratory sound signal; a database, which has a plurality of snoring image characteristics corresponding to a plurality of basic snoring sound characteristics for different respiratory actions; a control processor, which is connected with the sound analyzing processor and the database, is used to compare the snoring sound characteristic with the basic snoring sound characteristics to select one of the snoring image characteristics in the same waveform, and provides the first angle control order and the second angle control order corresponding to the selecting snoring image characteristic; a first pillow, which is connected to the control processor,

Abstract: This invention provides a method for obtaining ear drum standard image and the design of related otoscope and software, which includes the following steps: First, moving an otoscope with a circle sight to a target position in ear canal, and capturing an ear drum image; Then, choosing an ear drum region from the ear drum image, and calculating an area overlapping between the circle sight and the ear drum region. If the area does not satisfy a standard value, moving the otoscope to another target position, and repeating above steps; otherwise, choosing the ear drum image to be an ear drum standard image.

Abstract: This invention provides a method for obtaining ear drum standard image and the design of related otoscope and software, which includes the following steps: First, moving an otoscope with a circle sight to a target position in ear canal, and capturing an ear drum image; Then, choosing an ear drum region from the ear drum image, and calculating an area overlapping between the circle sight and the ear drum region. If the area does not satisfy a standard value, moving the otoscope to another target position, and repeating above steps; otherwise, choosing the ear drum image to be an ear drum standard image.

Abstract: A hearing diagnosis device and a hearing diagnosis method are provided. The device includes a storage unit, an otoacoustic emission detecting module, and a hearing diagnosis management module. The storage unit stores a hearing diagnosis image sample database and a hearing information sample database. The otoacoustic emission detecting module is configured to perform an otoacoustic emission detecting operation by playing a test audio to an ear of a user to obtain a first hearing diagnosis image corresponding to the ear. The hearing diagnosis management module is configured to perform a hearing diagnosis operation according to the first hearing diagnosis image, a plurality of hearing diagnosis image samples of the hearing diagnosis image sample database, and a plurality of hearing information samples, respectively corresponding to the hearing diagnosis image samples, of the hearing information sample database, so as to determine first hearing information of the ear.

Abstract: The invention provides a system and a method for an otitis media database constructing. The steps of method comprise: First, receiving a plurality of tympanic membrane images, wherein the tympanic membrane images are ear infection in different types. Second, choosing one of the tympanic membrane images, then classifying into a plurality of anatomic regions based on a plurality of tissue types. Coding each of anatomic regions with a numerical number to describe its morbid condition, and obtaining an eigenvalue through collecting the numerical number of each anatomic region. Furthermore, repeatedly choosing other one of tympanic membrane images until each tympanic membrane image obtaining the eigenvalue. And obtaining a matrix through collecting the eigenvalue of each tympanic membrane image, then generating an otitis media database.

Abstract: The present invention provides a bed set for inhibition of obstructive sleep apnea, which includes: a sound receiving module, is used to receive a respiratory sound signal obtained from a user during a time period; a sound analyzing processor, which is connected with the sound receiving module, is used to obtain a snoring sound characteristic from the spectrum of respiratory sound signal; a database, which has a plurality of snoring image characteristics corresponding to a plurality of basic snoring sound characteristics for different respiratory actions; a control processor, which is connected with the sound analyzing processor and the database, is used to compare the snoring sound characteristic with the basic snoring sound characteristics to select one of the snoring image characteristics in the same waveform, and provides the first angle control order and the second angle control order corresponding to the selecting snoring image characteristic; a first pillow, which is connected to the control processor,

Abstract: The invention provides a system and a method for an otitis media database constructing. The steps of method comprise: First, receiving a plurality of tympanic membrane images, wherein the tympanic membrane images are ear infection in different types. Second, choosing one of the tympanic membrane images, then classifying into a plurality of anatomic regions based on a plurality of tissue types. Coding each of anatomic regions with a numerical number to describe its morbid condition, and obtaining an eigenvalue through collecting the numerical number of each anatomic region. Furthermore, repeatedly choosing other one of tympanic membrane images until each tympanic membrane image obtaining the eigenvalue. And obtaining a matrix through collecting the eigenvalue of each tympanic membrane image, then generating an otitis media database.

Abstract: A method and system of obstructed area determination for sleep apnea syndrome are disclosed. The method comprising obtaining a snoring signal from an individual; obtaining a spectrogram of the snoring signal based on short-time Fourier Transform; obtaining a snoring signal feature based on a harmonic wave of the spectrogram; and obtaining a collapse index by comparing the snoring signal feature against a snoring signal feature-collapse index correlation database. The present invention enables the diagnosis of sleep apnea syndrome and determination the obstructed area for the sleep apnea syndrome with only the snoring signal of an individual during sleep.

Abstract: A two tier model for screening patients with sleep-disordered breathing includes collecting clinical information of a number of patients are collected, including gender, age, and body mass index, and performing form surveys including the Epworth Sleepiness Scale and the Snore Outcomes Survey to obtain a respiratory disturbance index (RDI). Receiver operating characteristics (ROC) are calculated with an initial strategy to maximize prediction sensitivity for patients with obstructive sleep apnea syndrome(OSAS). The associations between pulse oximeter data (desaturation index of 3%, DI3) against RDI was the second strategy to maximize prediction specificity.