EMG Sensor
Surface electromyography (EMG) enables non-invasive measurement of muscle activity and is attracting growing interest over a wide range of applications, including health monitoring, activity tracking, and gesture-based user interfaces. In particular, wearable devices such as smartwatches and AI glasses are driving increased demand for EMG sensing technologies to enhance user interaction and health-related monitoring capabilities.
The AK05611, an analog front end (AFE) for EMG measurement from Asahi Kasei Microdevices (AKM), achieves both ease of system development and discrete-class low-noise performance, enabling stable EMG measurements even during motions and facilitating integration into wearable devices.
Recently, practical applications of high-performance EMG sensing systems have been progressing rapidly. However, their reliance on discrete implementations consisting of multiple ICs and external components created challenges in component selection, analog circuit design, and noise mitigation. In wearable applications, signal acquisition can also become unstable during movement due to Motion Artifacts*.
The AK05611 integrates the AFE functions that are required for both EMG and bioimpedance (BioZ) measurements into a single chip. While simplifying system architecture, it achieves an input-referred noise level of 1.23 μVrms, comparable to that of discrete instrumentation amplifier implementations. This enables detection of subtle muscle movements, including signals generated by small muscles in a little finger. As a result, high-performance EMG sensing that previously required complex discrete architectures can now be achieved with a much simpler design.
In addition, the device incorporates a Motion Artifact Cancellation (MAC) function that utilizes BioZ information to reduce the impact of motion artifacts, enabling stable EMG measurements even during physical activity.
The device supports both I²C and SPI interfaces, allowing flexible channel expansion depending on application requirements. Up to 32 channels can be supported via SPI, making it suitable for multi-point measurement systems.
* Motion Artifact (MA) : Noise generated by body movement. In EMG sensing, it is primarily caused by changes in the contact condition between electrodes and the skin. It is also referred to as a motion noise .
By combining the AK05611 with lightweight AI algorithms developed by U.S.-based startup Aizip, four gesture types—“Single Tap,” “Double Tap,” “Holding,” and “Open Hand”—can be recognized using only two EMG channels.
This video demonstrates how EMG signals are captured from real-world gestures, providing an example of how EMG sensing can be applied in next-generation wearable user interfaces.
| Part Number | AK05611 | |
|---|---|---|
| EMG Input Referred Noise | [μVrms] | 1.23 |
| BioZ Input Referred Noise | [μVrms] | 0.45 |
| Sampling Frequency | [kHz] | 0.25 to 4 |
| Control I/F | SPI / I2C-bus | |
| Device Package | CSP | |
| Number of Pins | 24 | |
AK05611 Product Brief
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