Abstract:
A muscle imaging system that uses an ultrasound probe to image one or more muscles of a subject. A processing unit controls a driving mechanism to set a position of the ultrasound probe with respect to the subject. A position of the ultrasound probe, during an imaging process, is at least partly based upon a shape of the subject detected by a shape sensor.
Abstract:
An input mechanism for generating an input for a search engine, which is of particular use in searching medical databases comprising electrocardiogram (ECG) results. The input for the search engine is constructed in iterative stages, by initializing the input with a placeholder symbol, and iteratively replacing (responsive to a user input) placeholder symbols with input sections. An input section may comprise a variable to be searched, one or more additional placeholder symbols or a function.
Abstract:
A movement rehabilitation system provides a representation of a target movement to a user, together with a permitted range of deviation from the target movement. An image is displayed showing the performance of the user of the system in attempting to perform the target movement. A score is generated in respect of the ability of the user of the system to perform the target movement, and this score is worsened (e.g. reduced) in real time in response to deviations beyond the permitted range of deviation.
Abstract:
A tracking system is used for visual tracking of the position of the arm of a user of the system during a shoulder flexion exercise. Shoulder, elbow and hand markers are captured in an image and image processing is used to determine the arm position and movement from the markers. An elbow marker position is determined, when the elbow marker is occluded, by extrapolation of the elbow marker position before occlusion and taking into account the hand marker velocity by assuming a fixed relationship between the hand and elbow marker velocities. This provides a simple way to model the elbow movement during occlusion.
Abstract:
A system and method is provided for monitoring the fetal position and/or orientation of the fetus of an expectant mother. An acoustic sensor array is positioned over the belly. The pattern of acoustic sensor signals is processed to determine a fetal orientation and/or to determine movement over time of the fetus.
Abstract:
The present invention provides a respiratory device (1) for treating snoring comprising a main body portion (3) configured to enclose at least one external orifice of a patient's upper airway to form an enclosed space communicating with the patient's upper airway; a check valve (7) disposed at the main body portion to allow a flow of inhaled gas to flow into the enclosed space and block a flow of exhaled gas from discharging out of the enclosed space; an adjustable flow resistor (9) disposed at the main body portion to resist variably the flow of exhaled gas depending on an amplitude of the patient's snoring; a sensor unit (11) disposed at the main body portion; and a control unit (13) disposed at the main body portion, the control unit being in electrical communication with the adjustable flow resistor and the sensor unit; wherein the sensor unit is configured to detect a real-time pressure within the enclosed space, the control unit determines if the real-time pressure exceeds a preset pressure threshold and controls the adjustable flow resistor to reduce the flow resistance to the flow of exhaled gas if the real-time pressure exceeds the preset pressure threshold. The respiratory device according to the present invention may prevent an excess pressure from being accumulated in the respiratory device.
Abstract:
The invention provides a method for generating a training set of data for training a classifier relating to a physiological condition. The method begins by obtaining a first set of data relating to a first plurality of subjects and a second set of data relating to a second plurality of subjects, wherein each of the first set of data and the second set of data are grouped into a plurality of subsets of data, wherein the plurality of subsets of data is associated with a plurality of features. Descriptive statistics are calculated for each of the plurality of subsets of data within the first set of data and one or more features within the plurality of features is selected based on the calculated descriptive statistics to generate a search criterion. A supplementary set of data is identified from the second set of data by applying the search criterion to the second set of data. The training data set is then compiled based on the first set of data and the supplementary set of data.p
Abstract:
The invention provides a method for searching a database of ECG data. The method includes, obtaining a reference set of ECG data, wherein the reference set of ECG data comprises ECG data for a plurality of subjects comprising, for each of said subjects, data values for a plurality of characteristic ECG features, and grouping the reference set of ECG data into a plurality of subsets of ECG data, wherein each of the plurality of subsets of ECG data is associated with one of a plurality of characteristic ECG features. A search feature extraction algorithm is applied to the reference set of ECG data to extract at least one characteristic ECG feature as a search feature wherein a search feature is a characteristic ECG feature which enables ECG data of interest to be identified within the database of ECG data and a search criterion is generated based on the search feature. The database is then searched using the search criterion to obtain ECG data of interest.
Abstract:
A rehabilitation device (100) for a rehabilitation exercise is described. The device comprises a database interface (110) arranged to access a database (50) comprising a plurality of patient profiles. The patient profiles comprise motion information of patients in a rehabilitation exercise and characteristics of the rehabilitation exercise. The device (100) comprises a processor (120) arranged to receive competitor measures comprising characteristics of a rehabilitation exercise arranged for a user. The processor (120) retrieves one or more patient profiles as identified competitor's profiles from the database based on the similarity between the competitor measures in the patient profiles and the competitor measures received, and extracts motion information from each of the competitor's profiles for display during the rehabilitation exercise arranged for the user. By showing what other users are able to achieve during the same exercise, the user is encouraged to perform better. In this way, the user will stay motivated and will recover faster from the injury as compared to the use of prior art devices.
Abstract:
The invention relates to a system (200) for hand rehabilitation. The system (200) comprises an device (1OO) and a detection subsystem (210). The device (1OO) comprises a plurality of finger sleeve markers (101), each of the plurality of finger sleeve markers (101) being intended to surround one of a plurality of fingertips of fingers of a hand of a user and being detectable on the basis of a camera image. The detection subsystem (210) comprises a camera (201) configured to acquire a sequence of images of the device (1OO). The detection subsystem (210) also comprises a processor (202) configured to receive the sequence of images acquired from the camera (201) and derive position information of the plurality of finger sleeve markers (101) on the basis of the information of the plurality of finger sleeve markers (101) contained in the sequence of images. The invention also relates to an device for use in the system (200) and a corresponding method of hand rehabilitation.