Quadriceps Symmetry - after injury:
After an upper-leg injury on his left side, Phil has to focus on balance during workouts. This video shows how a pair of muscle sensors (M40 Muscle Sense, which can be seen on his quadriceps) can be used to optimize proper symmetry. As he begins the squats, he is favoring his right leg, but the feedback helps him to correct his symmetry without overcompensating.
Robot Arm - muscle control:
This video shows how the ANR M40 Muscle Sense can be used with the ANR R24 Receiver to control a robot. The motors are driven by an Arduino Board programmed using the Arduino Servo library. (This is an inexpensive robot arm, built with cheap hobby servos, so the motion is a bit rough).
In the video: The left forearm has one M40. This signal controls the robot arm bend (position control). The right forearm has two M40s, inner (away from camera) and outer (seen in video). This demonstrates velocity control – as if the user had a hand on a backhoe lever (curl in for clockwise rotation, out for counterclockwise). And a fourth M40 on the ankle (off camera) is controlling the jaw.
Pull up - ensure proper technique and avoid injury:
This video shows a muscle sensor being used on the lower back during pull ups to ensure form. Proper back engagement during pull ups is very important for avoiding shoulder injury.
Bicep Curl - grip forearm analysis:
This demonstration shows muscle sensors being used during bicep curls to see the effect that wrist orientation (grip) has on forearm muscle development.
- Surface EMG variability while running on grass, concrete and treadmill.
- EMG diagnoses muscle weakness in the arms, legs, hands, and feet for Charcot-Marie-Tooth (CMT) disease.
- Feedback from a pair of wireless muscle sensors used to ensure symmetrical workouts and optimize injury rehab.
- Forearm electromyographic activity during the deadlift exercise is affected by grip type and sex.
- EMG drone controller