AI in Prosthetics and Bionic Limbs Quiz

Answers and explanations appear as you take the quiz.

1. What signal do most bionic arms read to decide how to move?
   • Brain waves recorded from the scalp
   • Electrical signals from residual limb muscles (EMG)
   • Heart rate
   • Voice commands
2. How does pattern recognition differ from older direct control?
   • It uses only one electrode
   • It requires the user to press a button for every grip
   • It learns the combined pattern across several electrodes for each motion
   • It removes the need for any muscle activity
3. What does targeted muscle reinnervation do?
   • Reroutes nerves that served the missing limb into remaining muscles
   • Replaces the socket with a bone anchor
   • Adds motors to a prosthetic knee
   • Implants a chip in the brain
4. What does a microprocessor knee such as the C-Leg adjust as the user walks?
   • The colour of the cover
   • The length of the leg
   • The user's heart rate
   • Resistance at the knee based on angle and load
5. Why might a bionic hand that worked in the clinic misread grips at home?
   • EMG signals change with sweat, fatigue, electrode shift and arm position
   • Home Wi-Fi interferes with all prostheses
   • The hand forgets its training overnight
   • Clinics use a different type of electricity
6. Which classifier is commonly used in myoelectric pattern recognition?
   • Large language model
   • Linear discriminant analysis
   • Generative adversarial network
   • Decision by random guess
7. What did the 2024 MIT study led by Hugh Herr report?
   • A prosthetic arm with full natural touch
   • A brain implant that controls a wheelchair
   • Faster, more natural walking with a neurally controlled bionic ankle after a specific surgery
   • That microprocessor knees are no longer needed
8. Which statement is a common misconception about bionic limbs?
   • They are often expensive
   • Many users abandon upper-limb prostheses
   • Most give little sense of touch
   • Most read thoughts directly from the brain