๐Ÿฆพ Prosthetic Control Simulator

Interactive myoelectric prosthetic control testing environment

EMG Signal Data Format

Live EMG Channels

Channel 1 (Flexor) โ—
0 ฮผV
Channel 2 (Extensor) โ—
0 ฮผV
Channel 3 (Pronator) โ—
0 ฮผV
Channel 4 (Supinator) โ—
0 ฮผV

JSON Data Structure

{
  "version": "1.0.0",
  "timestamp": 1735142400000,
  "device": {
    "id": "PROS-2024-001",
    "type": "myoelectric",
    "channels": 8
  },
  "emg": {
    "channels": [
      { "id": 1, "muscle": "flexor", "value": 245.6, "unit": "ฮผV" },
      { "id": 2, "muscle": "extensor", "value": 189.3, "unit": "ฮผV" },
      { "id": 3, "muscle": "pronator", "value": 312.8, "unit": "ฮผV" },
      { "id": 4, "muscle": "supinator", "value": 156.2, "unit": "ฮผV" }
    ],
    "sampleRate": 1000,
    "resolution": 16
  },
  "control": {
    "mode": "proportional",
    "threshold": 150,
    "gain": 1.2
  }
}

Control Algorithms

Algorithm Selection

๐Ÿฆพ
Grip Force
0 N
Position
0ยฐ
Response
0 ms
Accuracy
0%

Threshold Control

  • Simple on/off activation
  • Low computational cost
  • Fast response time (<50ms)
  • Best for binary grips

Proportional Control

  • Continuous force modulation
  • Natural user experience
  • Response time ~100ms
  • Requires calibration

Pattern Recognition

  • Multi-DOF control
  • Machine learning based
  • High accuracy (95%+)
  • Adaptive to user

Communication Protocol

Protocol Configuration

Protocol Testing

Protocol Specification

Command Opcode Payload Size Response Time
GET_STATUS 0x01 4 bytes <10ms
SET_CONTROL 0x02 16 bytes <5ms
CALIBRATE 0x03 32 bytes <50ms
GET_FEEDBACK 0x04 8 bytes <15ms
UPDATE_CONFIG 0x05 64 bytes <30ms

System Integration

Integration Components

๐Ÿง  Neural Interface

  • Targeted muscle reinnervation (TMR)
  • Peripheral nerve interface (PNI)
  • Direct cortical interface
  • 8-16 channel EMG array

๐Ÿค– Prosthetic Device

  • Multi-DOF hand/arm
  • 22 degrees of freedom
  • Individual finger control
  • Wrist rotation/flexion

๐Ÿ‘† Sensory Feedback

  • Haptic vibration motors
  • Transcutaneous electrical stimulation
  • Force and pressure sensing
  • Temperature feedback

SDK Integration Example

import { ProstheticControl } from '@wia/prosthetic-control';

// Initialize prosthetic controller
const controller = new ProstheticControl({
  deviceId: 'PROS-2024-001',
  channels: 8,
  sampleRate: 1000
});

// Connect to device
await controller.connect();

// Start EMG monitoring
controller.on('emg', (data) => {
  console.log('EMG Signal:', data.channels);

  // Process signals with pattern recognition
  const gesture = controller.recognizePattern(data);

  // Send control command
  controller.setPosition(gesture.position);
  controller.setForce(gesture.force);
});

// Enable sensory feedback
controller.enableFeedback({
  haptic: true,
  temperature: true,
  pressure: true
});

// Calibrate system
await controller.calibrate({
  duration: 30000, // 30 seconds
  gestures: ['rest', 'fist', 'open', 'pinch']
});

Real-Time Testing

Control Panel

Thumb
0%
Index Finger
0%
Middle Finger
0%
Wrist Rotation
0ยฐ

Preset Gestures

๐Ÿ–๏ธ
Active DOF
0/22
Power
0 W
Battery
100%
Latency
0 ms

Performance Metrics

Metric Current Target Status
Response Time 0 ms <100 ms โณ
Accuracy 0% >95% โณ
Success Rate 0% >90% โณ
Power Efficiency 0 W/hr <5 W/hr โณ