Distributed system architecture for gait monitoring and methods of use
The present disclosure relates to system and techniques for receiving data from one or more sensors associated with a person and controlling the use and redistribution of that data so it is used in an intended manner. In particular, the data is related to a gait and/or mobility of the person.
1. A method of monitoring a gait of a person, said method comprising:
placing a gait-altering device on at least one foot of a person;
attaching a transferable housing to the gait-altering device, wherein the transferable housing contains all of a plurality of wireless sensors that monitor a gait of the person;
obtaining, using the plurality of wireless sensors of the transferable housing that monitor a gait of the person, first sensor data while the person is wearing the gait-altering device;
transforming the first sensor data obtained from the plurality of wireless sensors into one or more of first gait parameters wherein the one or more of first gait parameters includes one or more of gait cycle duration, gait cadence, stride length, stride velocity, turning angle, stance, swing, loading, foot flat, pushing, double support, peak angular velocity, swing speed, strike angle, lift-off angle, swing width, 3D path length, maximum heel clearance, maximum toe clearance (foot with toes angled downward), minimum toe clearance, and second maximum toe clearance (foot with toes angled downward) while the person is wearing the gait-altering device;
removing the gait-altering device from the at least one foot of the person;
removing the transferable housing from the gait-altering device and attaching the transferable housing to the at least one foot of the person;
obtaining, using the plurality of wireless sensors of the transferable housing that monitor the gait of the person, second sensor data while the person is not wearing the gait-altering device and has the transferable housing attached to the at least one foot;
transforming the second sensor data obtained from the plurality of wireless sensors into one or more of second gait parameters wherein the one or more of second gait parameters includes one or more of gait cycle duration, gait cadence, stride length, stride velocity, turning angle, stance, swing, loading, foot flat, pushing, double support, peak angular velocity, swing speed, strike angle, lift-off angle, swing width, 3D path length, maximum heel clearance, maximum toe clearance (foot with toes angled downward), minimum toe clearance, and second maximum toe clearance (foot with toes angled downward) while the person is not wearing the gait-altering device;
analyzing, by one or more processors, at least a portion of the first gait parameters and the second gait parameters, wherein the analyzing at least comprises comparing at least a portion of the first gait parameters and the second gait parameters; and
determining, by the one or more processors, based on the analysis, a treatment plan and/or a modification of an existing treatment plan for the person involving use of the gait-altering device,
wherein the gait-altering device comprises a gait-altering shoe comprising a frame adapted to support the at least one foot of the person; and at least one wheel that supports the frame above a walking surface, the wheel having a radius that varies as a function of angular position of the wheel such that the wheel automatically rotates when weight is applied to the shoe.
2. The method of claim 1 , wherein the one or more processors comprise at least a portion of a cloud network, wherein the cloud network includes cloud storage, and at least a portion of the first sensor data and/or the first gait parameters related to the gait of the person while wearing the gait-altering device and at least a portion of the second sensor data and/or the second gait parameters related to the gait of the person while not wearing the gait-altering device is stored in the cloud storage.
3. The method of claim 1 , wherein the plurality of wireless sensors comprise at least of an accelerometer, a gyroscope, a barometer, and a GPS detection device.
4. The method of claim 1 , wherein analyzing, by the one or more processors, at least the portion of the first gait parameters and the second gait parameters, further comprises comparing at least a portion of the first gait parameters obtained at a first time to at least a portion of the first gait parameters obtained at a second time and/or comparing at least a portion of the second gait parameters obtained at a first time to at least a portion of the second gait parameters obtained at a second time, wherein the first time and the second time are not the same.
5. The method of claim 1 , further comprising modifying an aspect of the gait-altering shoe based on at least a portion of the analyzed first gait parameters and/or second gait parameters, wherein modifying the aspect of the gait-altering shoe based on at least a portion of the analyzed first gait parameters and/or second gait parameters comprises providing a new wheel with a design based at least in part on the portion of the analyzed first gait parameters and/or second gait parameters.
6. The method of claim 1 , further comprising providing, by the one or more processors, access to at least a portion of the analyzed first gait parameters and/or second gait parameters to one or more devices, wherein the one or more devices comprise one or more devices controlled by authorized persons authorized by the person.
7. A system comprising:
a gait-altering device, wherein the gait-altering device comprises a gait-altering shoe comprising a frame adapted to support at least one foot of a person; and at least one wheel that supports the frame above a walking surface, the wheel having a radius that varies as a function of angular position of the wheel such that the wheel automatically rotates when weight is applied to the shoe;
a plurality of wireless sensors configured to monitor a gait of the person's gait, wherein the plurality of wireless sensors are all contained within a transferable housing; and
one or more processors, wherein the one or more processors:
receive from the plurality of wireless sensors, first sensor data comprising data obtained from the plurality of wireless sensors while the person is wearing the gait-altering device, wherein the transferable housing is attached to the gait-altering device;
transforming the first sensor data obtained from the plurality of wireless sensors into one or more of first gait parameters, wherein the one or more of first gait parameters includes one or more of gait cycle duration, gait cadence, stride length, stride velocity, turning angle, stance, swing, loading, foot flat, pushing, double support, peak angular velocity, swing speed, strike angle, lift-off angle, swing width, 3D path length, maximum heel clearance, maximum toe clearance (foot with toes angled downward), minimum toe clearance, and second maximum toe clearance (foot with toes angled downward) while the person is wearing the gait-altering device;
receive from the plurality of wireless sensors, second sensor data comprising data obtained from the one or more sensors while the person is not wearing the gait-altering device, wherein the transferable housing is removed from the gait-altering device and attached to the at least one foot of the person;
transforming the second sensor data obtained from the plurality of wireless sensors into one or more of second gait parameters, wherein the one or more of second gait parameters includes one or more of gait cycle duration, gait cadence, stride length, stride velocity, turning angle, stance, swing, loading, foot flat, pushing, double support, peak angular velocity, swing speed, strike angle, lift-off angle, swing width, 3D path length, maximum heel clearance, maximum toe clearance (foot with toes angled downward), minimum toe clearance, and second maximum toe clearance (foot with toes angled downward) while the person is not wearing the gait-altering device;
analyze at least a portion of the first gait parameters and at least a portion of the second gait parameters wherein the analyzing at least comprises comparing at least a portion of the first gait parameters and the second gait parameters; and
determining, based on the analysis, a treatment plan and/or a modification of an existing treatment plan for the person involving use of the gait-altering device.
8. The system of claim 7 , wherein the one or more processors comprise at least a portion of a cloud network.
9. The system of claim 7 , wherein the plurality of wireless sensors comprise of at least an accelerometer, a gyroscope, a barometer, and a GPS detection device.
10. The system of claim 7 , further comprising modifying an aspect of the gait-altering shoe based on at least a portion of the analyzed first gait parameters and/or second gait parameters, wherein modifying the aspect of the gait-altering shoe based on at least a portion of the analyzed first gait parameters and/or second gait parameters comprises providing a new wheel with a design based at least in part on the portion of the analyzed first gait parameters and/or second gait parameters.