Ultium EMG
Wireless EMG with Internal IMU
The Ultium EMG sensor system is a multi-modal device that delivers high-fidelity data and flexible measurement options. Ultium EMG sensors sample up to 4,000 times per second, synchronize in real-time, and demonstrate low baseline noise (<1 μV RMS) with minimal native artifacts. The implementation of IMU enables you to record both EMG and movement data.
The system features a variety of SmartLeads, which transform the EMG device into a versatile sensor for virtually any type of kinesiological data, and supports complete data recovery with Lossless technology. Each Ultium sensor includes lifetime battery replacement.
EMG Sampling rate | Up to 4,000 Hz |
EMG Internal Sampling Resolution | 24-bit |
EMG Baseline noise | <1μV |
EMG CMRR | < -100dB |
EMG Input Impedance | > 1,000 MΩ |
EMG Resolution (0 to 5,000uV) | 0.3uV |
EMG Resolution (5,000 to 24,000uV) | 1.1uV |
EMG High Pass Filters | Software selectable (5/10/20Hz) |
EMG Low Pass Filters | Software selectable (500/1000/1500Hz) |
Electrode Impedance Test | Integrated into sensors |
Internal Memory | >8 hours of data storage |
Analog Output | Up to 32 channels available |
Accelerometer Sample Rate | Up to 500Hz |
Full IMU Sample Rate | Up to 400Hz |
Biomechanical Sensors | 8+ Smart Lead sensors available |

High Signal Quality

Multi-Device Integration Compatible

Lifetime Battery Replacement*
*up to 10 years
Available SmartLeads
SmartLeads may be connected to any Ultium EMG sensor to convert it to any of these biomechanical sensor types:
EMG Applications

Symmetry & Coordination Tests

Average Activation Patterns

EMG Amplitude Analysis

Pelvic Floor Testing

Biofeedback Training

Gait Analysis

Fatigue Analysis

Isokinetic Testing
“The new generation of scientists are trying to move away from traditional lab based science. Life happens outside of the lab, and Noraxon’s reliable wireless EMG allows me to collect this historically difficult to acquire data.”
Harsimran S Baweja P.T. Ph.D.
SDSU Center for Clinical and Cognitive Neuroscience