EMG-MUSCLE-V3.0
PACKAGE INCLUDES:
- 1 × EMG Muscle Sensor V3.0 Module
- 3 × Electrode Pads
- 1 × Connecting Cable

EMG-MUSCLE-V3.0
Description
MINIMUM TECH FEATURES:
- Electrode Pad Diameter: 52 mm
- Cable Length: 2 feet
- Module Weight: 30 g
- Frequency Response: 10 Hz to 1 kHz
- Sampling Rate: ≥ 1000 samples/second
- Operating Voltage: ±3.5 V (typical)
DESCRIPTION:
- The EMG-MUSCLE-V3.0 module detects and records electrical activity generated by muscles during contraction using high-sensitivity surface electrodes.
- It amplifies and filters raw EMG signals to extract meaningful data such as muscle activation levels, contraction timing, and fatigue indicators.
- Provides real-time feedback on muscle activity, beneficial for rehabilitation, sports training, and biofeedback applications.
- Capable of recording multi-channel EMG data for comprehensive muscle group analysis.
- Offers visualization tools like time-domain and frequency-domain plots for detailed interpretation of muscle activity.
- Configurable parameters (sampling rate, filtering, and gain) allow adaptation for diverse clinical and research needs.
- Compatible with Arduino, Raspberry Pi, and other microcontrollers, enabling seamless integration in biomedical and robotics projects.
- Designed with an intuitive interface, making it suitable for both beginners and professional researchers.
- Used in clinical diagnostics, prosthetics, motion studies, and neuromuscular control experiments.
TECHNICAL SPECIFICATIONS:
| Parameter | Specification |
| Operating Voltage | ±5 V |
| Connector Type | 3.5 mm Audio Jack |
| Cable Length | 1 m |
| Module Dimensions | 33.5 mm × 26 mm × 12 mm |
| Module Weight | 40 g |
| Shipping Weight | 0.043 kg |
| Shipping Dimensions | 11 × 8 × 1 cm |
APPLICATIONS:
- Biomechanics Research
- Rehabilitation and Physical Therapy
- Sports Performance Monitoring
- Prosthetics and Robotics
- Neuroscience Research
- Human–Computer Interaction (HCI)
- Occupational Ergonomics
- Biofeedback Systems
- Educational Demonstrations
- Clinical Diagnostics
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