Advance Technologies EMG Muscle Sensor V3.0 Kit with Cable and Electrodes
Bridge the gap between human physiology and digital electronics with the Advance Technologies EMG Muscle Sensor V3.0 Kit. Engineered for high-fidelity biomechanical data collection, this electromyography (EMG) sensor captures and filters the tiny electrical signals generated by muscle contractions. Featuring an updated V3.0 analog processing core, it scales fluctuating micro-volt signals into a smooth, readable voltage format that connects directly to your microcontroller's ADC. Complete with a shielded medical cable harness and disposable surface electrodes, it is the premier choice for bionic prosthetics, rehabilitation tracking, and human-machine interface (HMI) robotics.
₹ 1,050
₹ 1,599
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Detailed Description
The Advance Technologies EMG Muscle Sensor V3.0 Kit is an advanced medical-electronics development interface designed to capture and process biological signals. When the human brain commands a muscle to contract, a wave of electrical activity travels through the muscle tissue, generating tiny micro-volt signals. This surface electromyography (sEMG) sensor acts as a specialized amplifier. It detects these weak electrical impulses directly through the skin, filtering out ambient electrical noise to deliver clean, actionable data.
The V3.0 version features a complete redesign of the analog filtering stage, optimizing its gain characteristics to handle complex muscle movements. It utilizes a multi-stage operational amplifier configuration that combines a high-common-mode-rejection instrumentation amplifier with a rectified, smoothed envelope tracking layout. This onboard processing converts raw, chaotic AC muscle signals into a smooth, proportional analog DC voltage rail ($0 ext{V}$ to $V_{CC}$). This output can be read directly by an Arduino, STM32, or Raspberry Pi ADC pin, translating physical muscle effort into precise software control commands.
Key Features and Benefits
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High-Gain Instrumentation Amplification: Captures microscopic electrical signals directly from skin surface contacts, lifting weak bio-potentials out of background electrical noise.
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Onboard Signal Rectification & Smoothing: Transforms noisy AC muscle waves into a clean, smooth DC envelope signal, simplifying data analysis on standard microcontrollers.
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Shielded Medical Cable Harness: Shipped with a flexible, high-density shielded 3-lead snap cable that prevents external electromagnetic interference (EMI) from distorting sensor telemetry.
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Adjustable Gain Sensitivity: Populated with an onboard single-turn trimmer potentiometer, allowing you to fine-tune the amplification factor to match both fine motor movements and large muscle groups.
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Disposable Electrode Compatibility: Designed to interface with standard medical-grade, pre-gelled Ag/AgCl snap buttons, ensuring low-impedance contact resistance.
Technical Specifications
| Feature Component | Specification Details |
| Sensor Processing Type | Surface Electromyography (sEMG) Analog Envelope Core |
| Operating Power Rail Window | Dual Supply (±3.3V to ±5.0V) OR Single Supply with Virtual Ground |
| Output Signal Profile | Analog DC Voltage Envelope (0 V to Logic VCC) |
| Differential Input Impedance | ≥ 10^{12} Ω (Minimizes signal loading on human skin) |
| Common Mode Rejection (CMRR) | > 96 dB for robust external noise isolation |
| Cable Interface Type | 3.5mm Shielded Audio Jack to Triple Medical Snap Buttons |
| Electrode Patch Medium | Pre-Gelled Silver/Silver Chloride (Ag/AgCl) Surfaces |
How to Configure & Wear
⚠️ ELECTRICAL SAFETY & POWERING WARNING: For user safety, never power this module from a desktop computer or laptop that is plugged directly into a 220V AC wall outlet. Always run the module and its host microcontroller using an isolated battery source (such as a 9V battery or a portable USB power bank). This completely eliminates the risk of an electrical fault passing dangerous mains voltage through the electrodes to your skin.
Electrode Placement and Mapping Strategy:
To get clean data, you need to use three electrode pads: two Measuring Electrodes placed along the length of the target muscle, and one Reference Electrode placed on an inactive bony area nearby.
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Thoroughly clean the skin surface over the target muscle with isopropyl alcohol to remove skin oils and lower contact resistance.
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Peel and apply two disposable electrode patches directly along the midline of the muscle belly (e.g., the widest part of the biceps), spacing them roughly 2 to 3 cm apart.
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Apply the third reference patch to a nearby bony area with minimal muscle activity, such as the elbow or wrist joint.
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Snap the Cable Leads:
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Attach the Red Lead to the primary muscle pad.
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Attach the Green Lead to the secondary muscle pad.
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Attach the Yellow Black/Reference Lead to the bony reference patch.
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Plug the 3.5mm connector into the EMG sensor module board, connect the analog output pin to your microcontroller's ADC, and power up your isolated battery grid.
Applications
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Bionic Prosthetics & Orthotics: Acts as the primary control interface for custom 3D-printed robotic hands, translating forearm muscle contractions into motorized finger movements.
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Human-Machine Interfaces (HMI): Powers hands-free control systems, allowing users to guide automated wheelchairs or industrial machinery using simple muscle gestures.
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Physical Rehabilitation Equipment: Tracks and records muscle activity metrics during physical therapy, giving clinicians clear data on user recovery progress.
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Interactive Gaming Controllers: Creates custom, muscle-activated game controllers that let users trigger in-game actions like jumping or punching by flexing their real-world muscles.
Package Includes
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1 x Advance Technologies EMG Muscle Sensor V3.0 Main Processing Board
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1 x 60cm Shielded 3-Lead Medical Snap Button Interface Cable
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3 x Pre-Gelled Disposable Ag/AgCl Surface Electrode Patches
Shipping & Delivery
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Free shipping on orders above ₹999 across India
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Dispatched within 1-3 business days
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Expected delivery: 3-7 business days depending on location
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Secure packaging to ensure safe transit of electronic components
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