Method and apparatus for quantitative assessment of neuromotor disorders
First Claim
1. A system for assessing neuromotor disorders in a body, comprising:
- a hand-held device containing a plurality of pressure sensors for measuring pressure applied by the individual fingers of a hand of a person holding the device;
a med node connected to the plurality of pressure sensors for generating data corresponding to signals generated by the pressure sensors;
a screen display of a target force pattern for observation by the person holding the device for the purpose of the person holding the device tracking the displayed target force pattern with the individual fingers of the hand holding the device, while the target force pattern is being displayed; and
an analysis unit connected to the med node for analyzing the data generated by the med node to determine the existence of a neuromotor disorder in the body;
wherein the analysis unit is configured to analyze the data generated by the med node using time-domain cross-correlation to measure the similarity between the force pattern generated by the individual fingers of the hand and the target force pattern.
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Abstract
The present invention relates to methods and apparatus for quantitative assessment of neuromotor disorders using sensors and analyzing the data collected from the sensors to determine if a patient suffers any neuromotor disorders. In one embodiment, the present invention is a system for assessing neuromotor disorders in a body including a plurality of pressure sensors adapted for attachment to the body and measuring pressure, a med node connected to the plurality of pressure sensors for generating data corresponding to the plurality of pressure sensors, and an analysis unit connected to the med node for analyzing the data generated by the med node to determine the existence of a neuromotor disorder in the body.
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Citations
14 Claims
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1. A system for assessing neuromotor disorders in a body, comprising:
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a hand-held device containing a plurality of pressure sensors for measuring pressure applied by the individual fingers of a hand of a person holding the device; a med node connected to the plurality of pressure sensors for generating data corresponding to signals generated by the pressure sensors; a screen display of a target force pattern for observation by the person holding the device for the purpose of the person holding the device tracking the displayed target force pattern with the individual fingers of the hand holding the device, while the target force pattern is being displayed; and an analysis unit connected to the med node for analyzing the data generated by the med node to determine the existence of a neuromotor disorder in the body; wherein the analysis unit is configured to analyze the data generated by the med node using time-domain cross-correlation to measure the similarity between the force pattern generated by the individual fingers of the hand and the target force pattern. - View Dependent Claims (2, 3, 4, 5, 10)
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6. A method for determining abnormal pressure patterns applied by fingers on a hand of a person holding a sensor device containing sensors for each of the fingers, the method comprising:
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receiving signals corresponding to a force pattern applied by the fingers to the sensor; and analyzing the signals produced by the sensors, to determine the existence of a neuromotor disorder; wherein analyzing the signals from the sensors includes using time-domain cross-correlation to measure the similarity between the force pattern generated by the individual fingers and the target force pattern. - View Dependent Claims (7, 8, 9, 11)
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12. A method, comprising:
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presenting on a display screen a pattern of a target force representing a target sequence of force to be applied to a plurality of pressure sensors of a handgrip; receiving data from the plurality of pressure sensors indicating at least one actual sequence of force applied to the plurality of pressure sensors in response to the presenting the pattern of the target force on the display screen; and cross-correlating the target sequence and the actual sequence in the time domain, thereby identifying a time lag between the sequences. - View Dependent Claims (13, 14)
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Specification