Abstract: The present invention is directed to a device which includes the following features: a light source illuminates a target to generate an optical inspection signal; a probe head provides an optical path for the optical inspection signal; a probe tube arranged at a front end of the probe head; at least one switched filter module arranged in the optical path, allowing the optical inspection signal to pass therethrough to generate a corresponding spectral signal; and an image sensor arranged behind the switched filter module, receiving the spectral signal and generating a spectral image. The spectral image can be transmitted to an external device, wherefrom the user can use the spectral image to examine the target in further detail. The present invention features a rotary-type or movable-type switched filter module, which facilitates the user to switch filters easily during optical inspection.

Abstract: The present invention discloses a method for measuring a biological stimulus signal, which replaces the conventional wired synchronized signal transmission technology with a wireless synchronized signal transmission technology to increase convenience in usage, and which compensates the delay time of wireless transmission in a calibration way to achieve a synchronization effect, whereby the stimulus signal can be corresponding to the response signal correctly, and whereby the synchronized integrated data of the subject can be correctly generated.

Abstract: The present invention discloses a portable noninvasive inspection device, which comprises a light source illuminates a target to generate an optical inspection signal; a probe head provides an optical path for light source to receive optical inspection signal; a probe tube arranged at a front end of probe head; at least one switched filter module arranged in the optical path, allowing the optical inspection signal to pass there through to generate a corresponding spectral signal; and an image sensor arranged behind the switched filter module, receiving the spectral signal and generating a spectral image. The spectral image can be transmitted to an external device, wherefrom the user can use the spectral image to examine the target in further detail. The present invention features a rotary-type or movable-type switched filter module, which facilitates the user to switch filters easily during optical inspection.

Abstract: An image guiding device for a brain surgery is provided. A computation processing unit receives a non-invasive basic brain image obtained prior to a surgery and plans brain surgical route data. An operating tube enters a brain according to the brain surgical route data. An image capturing module in the operating tube feeds back actual conditions of the brain in real-time. The computation processing unit performs real-time route correction to allow an operating probe to perform operations when the operating tube arrives at a target site. Thus, using the non-real-time non-invasive basic brain image collaborating with a real-time image capturing module, the computation processing unit performs route correction, thereby significantly reducing surgery risks and equipment costs.

Abstract: The present invention discloses a portable noninvasive inspection device, which comprises a light source illuminates a target to generate an optical inspection signal; a probe head provides an optical path for said light source to receive said optical inspection signal; at least one switched filter module arranged in the optical path, allowing the optical inspection signal to pass there through to generate a corresponding spectral signal; and an image sensor arranged behind the switched filter module, receiving the spectral signal and generating a spectral image. The spectral image can be transmitted to an external device, wherefrom the user can use the spectral image to examine the target in further detail. The present invention features a rotary-type or movable-type switched filter module, which facilitates the user to switch filters easily during optical inspection and expands the application of the present invention.

Abstract: The present invention discloses a portable noninvasive inspection device, which comprises a light source illuminates an target to generate an optical inspection signal; a probe head provides an optical path for said light source to receive said optical inspection signal; at least one switched filter module arranged in the optical path, allowing the optical inspection signal to pass therethrough to generate a corresponding spectral signal; and an image sensor arranged behind the switched filter module, receiving the spectral signal and generating a spectral image. The spectral image can be transmitted to an external device, wherefrom the user can use the spectral image to examine the target in further detail. The present invention features a rotary-type or movable-type switched filter module, which facilitates the user to switch filters easily during optical inspection and expands the application of the present invention.

Abstract: A method and system are used to analyze the components of a tissue sample by using hyperspectral imaging. The system comprises an image capture module and a hyperspectral image analysis module. The image capture module generates an excitation light beam to illuminate the tissue sample, receives a spectral image induced by the excitation light beam, and converts the spectral image into hyperspectral image data containing continuous spectrum waveforms. The hyperspectral image analysis module performs a linear transformation on the hyperspectral image data to obtain a plurality of linearly-independent continuous spectrum curves and compares the linearly-independent continuous spectrum curves with continuous spectrum data of known components in a database to identify the components in the tissue sample and obtain the types, proportions, and spatial distributions thereof, whereby the physician can diagnose the lesion more accurately.

Abstract: A fall-down alarm system includes a contact detection unit, a non-contact detection unit and a fall-down evaluation unit connecting respectively to the contact detection unit and non-contact detection unit. The contact detection unit and non-contact detection unit respectively detect an abnormal detected shape of an object and abnormal life symptoms of the object, and then the fall-down evaluation unit determines a fall-down condition and sends a trigger signal to request assistance. Through the contact detection unit and non-contact detection unit respectively detecting the shape and life symptoms of the object, the erroneous fall-down judgment can be reduced.

Abstract: A measuring method for synchronizing bio-signals with stimulations is capable of enhancing utility by using wireless synchronization signal transmission instead of conventional wired synchronization signal transmission and by using a signal processing approach to compensate a delay time in the wireless transmission to obtain a synchronous result. Thereby a stimulus signal corresponds to a biological response signal precisely in order to correctly generate integrated synchronization data of a stimulus organism.

Abstract: An image guided surgery apparatus and system are provided. The image guided surgery system includes an image capturing system, an image scanner, a navigator, a surgical catheter and a surgical probe. The image capturing system has an elongated and flexible working tube for capturing a surface image, a structure image or a dynamic structure image of a tissue during the surgical catheter moving forward to the surgical part, thus determining the type and the structure of the tissue in the front-end of the surgical catheter. Therefore, whether a moving path of the surgical catheter is to at the correct position can be confirmed for reaching a correct surgical site. The surgical catheter assists the surgical probe directly reaching the optimal surgical site for performing a precise positioning surgery.

Abstract: A fall-down alarm system includes a contact detection unit, a non-contact detection unit and a fall-down evaluation unit connecting respectively to the contact detection unit and non-contact detection unit. The contact detection unit and non-contact detection unit respectively detect an abnormal detected shape of an object and abnormal life symptoms of the object, and then the fall-down evaluation unit determines a fall-down condition and sends a trigger signal to request assistance. Through the contact detection unit and non-contact detection unit respectively detecting the shape and life symptoms of the object, the erroneous fall-down judgment can be reduced.

Abstract: Electrocardiogram (ECG) recorded signals are processed by a computer-implemented method to substantially remove extraneous signals to produce intermediary signals, and to separate the intermediary signals using a non-orthogonal transformation method such as independent component analysis to produce independent components of signals. The separated signals are displayed to help physicians to analyze medical conditions and to identify locations of abnormal heart conditions.

Abstract: EKG sensors ((150) are placed on a patient (140) to receive electrocardiogram (EKG) recording signals, which are typically combinations of original signals from different sources, such as pacemaker signals, QRS complex signals, and irregular oscillatory signals that suggest an arrhythmia condition. A computing module (120) uses independent component analysis to separate the recorded EKG signals. The separated signals are displayed to help physicians to analyze heart conditions and to identify probably locations of abnormal heart conditions. At least a portion of the separated signals can be further displayed in a chaos phase space portrait to help detect abnormality in heart conditions.

Abstract: A method and system decomposes a cardiac signal, such as an electrocardiogram (ECG) signal, into components. The components are then usable to assist in the detection of an abnormal heart condition. More particularly, a single lead sensor is used to generate a single lead cardiac signal. The cardiac signal is segmented into a set of cycle segments according to detected heart waveforms. The cycle segments are aligned and used to generate a set of cross-sectional signals. The cross-sectional signals are aligned and presented as inputs to a signal separation process, which separates the cardiac signal into a set of components. The components may be grouped according to predefined criteria. The components or groups may be analyzed or displayed to assist in the detection of an abnormal cardiac signal, which may be indicative of an abnormal heart condition. In one example, the signal separation process is a non-orthogonal transformation method such as independent component analysis (ICA).

Abstract: Electrocardiogram (ECG) recorded signals are processed by a computer-implemented method to substantially remove extraneous signals to produce intermediary signals, and to separate the intermediary signals using a non-orthogonal transformation method such as independent component analysis to produce independent components of signals. The separated signals are displayed to help physicians to analyze medical conditions and to identify locations of abnormal heart conditions.

Abstract: A method and system decomposes a cardiac signal, such as an electrocardiogram (ECG) signal, into components. The components are then usable to assist in the detection of an abnormal heart condition. More particularly, a single lead sensor is used to generate a single lead cardiac signal. The cardiac signal is segmented into a set of cycle segments according to detected heart waveforms. The cycle segments are aligned and used to generate a set of cross-sectional signals. The cross-sectional signals are aligned and presented as inputs to a signal separation process, which separates the cardiac signal into a set of components. The components may be grouped according to predefined criteria. The components or groups may be analyzed or displayed to assist in the detection of an abnormal cardiac signal, which may be indicative of an abnormal heart condition. In one example, the signal separation process is a non-orthogonal transformation method such as independent component analysis (ICA).

Abstract: EKG sensors ((150) are placed on a patient (140) to receive electrocardiogram (EKG) recording signals, which are typically combinations of original signals from different sources, such as pacemaker signals, QRS complex signals, and irregular oscillatory signals that suggest an arrhythmia condition. A computing module (120) uses independent component analysis to separate the recorded EKG signals. The separated signals are displayed to help physicians to analyze heart conditions and to identify probably locations of abnormal heart conditions. At least a portion of the separated signals can be further displayed in a chaos phase space portrait to help detect abnormality in heart conditions.