Abstract: A pulmonary neuromuscular metrics device that allows the measurement of pulmonary neuromuscular metrics, that is, breathing power, force, and work (that is, energy expended), in patients with neuromuscular conditions. The device may be used in the medical office or remotely at a patient's house, thereby allowing the patient to be followed medically without the need for more frequent and repeated office visits.

Abstract: A system and method based on the use of a mobile application running on a handheld mobile device that can be manipulated by a user/patient with the result that the data gathered by the application is communicated via a secure link to a computer service in order for evaluation of the user/patient's neurological and physical functioning for purposes of detecting changes in the progression of certain functions to aid in the diagnosis of certain diseases, such as multiple sclerosis and related neurological diseases.

Abstract: A system and method based on the use of a mobile application running on a handheld mobile device that can be manipulated by a user/patient with the result that the data gathered by the application is communicated via a secure link to a computer service in order for evaluation of the user/patient's neurological and physical functioning for purposes of detecting changes in the progression of certain functions to aid in the diagnosis of certain diseases, such as multiple sclerosis and related neurological diseases.

Abstract: The present invention relates to a technique in the form of an exemplary computer vision system for detecting the orientation of text or features on an object of manufacture. In the present system, an image of the features or text is used to extract lines using horizontal bitmap sums, and then individual symbols using vertical bitmap sums, using thresholds with each of the sums. The separated symbols are then appropriately trimmed and sealed to provide individual normalized symbols. A Decision Module comprising a Feed-Forward Neural network and a sequential decision arrangement determines the "up", "down" or "indeterminate" orientation of the text after a variable number of symbols have been processed. The system can then compare the determined orientation with a database to further determine if the object is in the "right-side up" "upside down" or "indeterminate" orientation.