Brain machine interfaces allow direct communication between the human brain and external devices by detecting brain signals through electrodes on the scalp or implanted in the brain. BMIs aim to restore functions like sight, hearing, and movement for people with disabilities. Electrodes detect brain signals which are processed to extract features that can be classified to control external devices like prosthetics. While BMIs show promise for helping people, challenges remain around safety, the complexity of the brain, and predicting future thoughts and intentions. Future applications could include thought communication between people and super intelligent cyborgs.

1. BRAIN MACHINE INTERFACEANUP WADHEKAR

2. OBJECTIVES WHAT IS BRAIN MACHINE INTERFACE

3. NEED OF BRAIN MACHINE INTERFACE

4. MAIN PRINCIPLE AND WORKING

5. CHALLENGES

6. FUTURE EXPANSION

7. CONCLUSION INTRODUCTION

8. UNDERSTANDING BMIBrain machine interfac e sometimes called a direct neural interface or brain–computer interface, is a direct communication link between a functioning human brain and the outside world.

9. BMI uses brain activity to command, control, actuate and communicate with the world directly through brain integration with peripheral devices and systems.WHY BMI The field of BMI has emerged mostly toward neuroprosthetics applications that aim at restoring damaged hearing, sight and movement.

10. bmi platform

11. MAIN PRINCIPLE Main principle behind this interface is the bioelectrical activity of nerves and muscles. Brain is composed of millions of neurons. When the neuron fires, or activates, there is a voltage change across the cell which generates signals on the surface of the brain. By monitoring and analyzing these signals we can understand the working of brain.

12. Brain-Controlled VehicleSignal Processing Algorithms/Command ExtractionNeural InterfaceNeural SignalsDirectional controlControl CommandVehicle State SignalEnvironmental FeedbackSensors

13. components of bmiIMPLANT DEVICE

14. SIGNAL PROCESSING SECTION

15. EXTERNAL DEVICE

16. FEEDBACK SECTION

17. Multichannel Acquisition Systems

18. Spike Detection

19. Signal Analysisblock diagram