Management of wireless transmission rate of control signals for power assistive devices
A system and method for transmission of a signal for a powered assistive device has a sensor node with a wireless transmitter adapted for digitally transmitting a transmitted signal, the sensor node adapted for receiving and monitoring a sensor signal from a sensor attached to a user, and a master node with a controller and a wireless receiver for receiving the transmitted signal from the wireless transmitter. The master node processes the transmitted signal and communicates a control signal to the powered assistive device. The wireless transmitter transmits the transmitted signal at a first rate when the wireless transmitter adapted to transmit the transmitted signal at a first rate when the sensor signal is indicative of the rest state and to transmit the transmitted signal at a second rate when the sensor signal is indicative of the active state, the second rate being greater than the first rate.
1. A method of power saving for a powered assistive device controlled by a sensor attached to a user communicating wirelessly with the powered assistive device, the method comprising the steps of:
receiving a sensor signal via the sensor attached to the user, the sensor signal indicative of a state of the user including at least a rest state and an active state;
determining the state of user based on the sensor signal; and
wirelessly transmitting a communication signal at a transmission rate for controlling the powered assistive device;
wherein the transmission rate is at a first rate when the state of the user is the rest state and at a second rate when the state of the user is the active state, the second rate being greater than the first rate.
2. The method claim 1 , further comprising:
converting the communication signal into a control signal; and
controlling the powered assistive device using the control signal.
3. The method of claim 1 , wherein:
the sensor signal indicative of the rest state of the user comprises a signal at or below a threshold value and the sensor signal indicative of the active state of the user comprises a signal above the threshold value; or
the sensor signal indicative of the rest state of the user comprises a rate of change that is at or below a threshold value and the sensor signal indicative of the active state of the user comprises a rate of change that is above the threshold value.
4. The method of claim 1 , further comprising varying the second rate dynamically when the sensor signal is indicative of the active state and/or varying the second rate proportionally with respect to a strength of the sensor signal.
5. The method of claim 1 , wherein:
the second rate has a transmission interval that is lower than a transmission interval at the first rate; and/or
the second rate has a transmission interval that varies in a range of 1 ms to 10,000 ms, 1 ms to 1000 ms, or 10 ms to 100 ms.
6. The method of claim 1 , wherein the powered assistive device is selected from a group consisting of a powered prosthetic, a powered orthotic, a wrist rotator, elbow, multi-articulating hand, 1-DoF hand, knee, ankle, a powered upper and lower limb orthotic, split hook, gripper and an exoskeleton.
7. The method of claim 1 , wherein the second rate of the communication signal has a packet size that is larger than a packet size of the communication signal at the first rate; and/or
the packet size at the second rate dynamically varies from 1 byte to 244 bytes.
8. The method of claim 1 , wherein the sensor signal comprises a biological or movement signal for body activity of the user and the sensor is selected from the group consisting of an electromyographic (EMG) sensor, an inertial measurement unit (IMU) sensor, a force sensitive resistor, a liner transducer, a switch, a pressure transducer, an accelerometer, a gravitometer, a magnetometer, a inclinometer, a temperature sensor and a button.
9. The method of claim 1 , further comprising signal conditioning the sensor signal, the signal conditioning comprising analog to digital conversion, gaining, thresholding, applying pattern recognition/machine learning techniques and/or filtering of the analog sensor signal.
10. The method of claim 1 , further comprising signal conditioning the communication signal, the signal conditioning including digital to analog conversion, thresholding, applying pattern recognition/machine learning techniques, and/or filtering of the transmitted signal.
11. The method of claim 1 , further comprising communicating to and from an external device, the external device being selected from the group consisting of a base station, smart phone, wearable computer, personal digital assistant and a tablet.