Systems and methods for sensorimotor rehabilitation
AssigneeBiosensics, L.L.C.
InventorJoseph T. Gwin
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Abstract
A sensorimotor rehabilitation system can analyze body movement kinematics of a person, and in particular analyze the use of limbs (e.g., upper limbs) to provide feedback for sensorimotor rehabilitation. Parameters of body movement (e.g., quantity and type of body movement) can be assessed based on data recorded from an inertial sensor affixed or connected to, for example, an upper limb of a person or outer clothing such as a sleeve. Automated feedback can be provided to the user to improve sensorimotor rehabilitation.
Claims25
A method for sensorimotor rehabilitation, the method comprising:
- receiving one or more signals generated by at least one body-worn inertial sensor supported by an affected upper limb of a person to automatically detect movement of the affected limb during activities of daily living;
- with processing electronics comprising digital logic circuitry, processing sensor data derived from the one or more signals to identify a characteristic associated with at least one of a quantity of upper limb movement of the person during the activities of daily living or a type of upper limb movement of the person during the activities of daily living;
- and
- based at least in part on the identified characteristic, electronically generating information usable to present feedback usable in sensorimotor rehabilitation of the affected upper limb.
A sensorimotor rehabilitation system, the system comprising:
- at least one body-worn inertial sensor configured to generate one or more signals;
- and
- processing electronics in communication with the at least one body-worn inertial sensor and comprising digital logic circuitry, the processing electronics configured to:
- process sensor data derived from the one or more signals according to a sensorimotor analysis algorithm, wherein the sensor data is collected while the body-worn inertial sensor is supported by a finger of a person, a hand of the person, a wrist of the person, a forearm of the person, or an upper arm of the person;
- based at least in part on results of the processing of the sensor data, identify a characteristic associated with at least one of a quantity of limb movement of the person during activities of daily living or a type of limb movement of the person during the activities of daily living;
- and
- based at least in part on the identified characteristic, generate information usable to present feedback.
Non-transitory computer storage that stores executable code that directs computer hardware to at least:
- process sensor data derived from one or more signals generated by at least one body-worn inertial sensor according to a sensorimotor analysis algorithm, the sensor data obtained when the body-worn inertial sensor is supported by a finger of a person, a hand of the person, a wrist of the person, a forearm of the person, or an upper arm of the person;
- based at least in part on results of the processing of the sensor data, identify a characteristic associated with at least one of a quantity of limb movement of the person during activities of daily living or a type of limb movement of the person during the activities of daily living;
- and
- based on the identified characteristic, generating information usable to present feedback.
Dependencies are inferred from the claim text.