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MYOblue v1.2 WiFi Bridge Extension
€
86
The MYOblue v1.2 WiFi Bridge Extension is an optional dual‑module wireless system designed to increase the effective operating range of MYOblue sensors up to 100 meters.
It serves as an auxiliary communication layer for scenarios where the standard BLE receiver is insufficient due to distance or interference.
The system is fully compatible with MYOblue_GUI, the official software for EMG signal visualization, analysis, and processing.
Worldwide shipping from Israel:
5 –12 business days by airpost
✪ 1 year warranty
preorder
It serves as an auxiliary communication layer for scenarios where the standard BLE receiver is insufficient due to distance or interference.
The system is fully compatible with MYOblue_GUI, the official software for EMG signal visualization, analysis, and processing.
Worldwide shipping from Israel:
5 –12 business days by airpost
✪ 1 year warranty
preorder
The MYOblue v1.2 WiFi Bridge Extension is an optional dual‑module wireless communication system designed to extend the effective operating range of MYOblue EMG/ECG sensors up to 100 meters. Built on the XIAO ESP32 platform, both modules are fully programmable, support open‑source firmware, and provide a reliable BLE‑to‑WiFi bridging solution for long‑distance biosignal acquisition.
The system automatically connects to MYOblue sensors, collects surface EMG and ECG data, and retransmits it via WiFi to the host device, ensuring stable performance even in environments with interference or physical obstacles.
Features:
Technical performance:
Module 1 — Sensor Collection Unit
Included in set:
The system automatically connects to MYOblue sensors, collects surface EMG and ECG data, and retransmits it via WiFi to the host device, ensuring stable performance even in environments with interference or physical obstacles.
Features:
- Dual‑module architecture for long‑range EMG/ECG data transmission
- BLE‑to‑WiFi bridge for extended communication distance
- Up to 100 m wireless range in open environments
- Automatic sensor discovery and pairing
- Based on XIAO ESP32 — compact, efficient, and fully programmable
- Open‑source firmware for customization and research applications
- USB Type‑C power input for convenience and compatibility
- Supports up to 8 MYOblue sensors simultaneously
- Lightweight, portable, and easy to integrate into biomechanics, sports science, and rehabilitation setups
Technical performance:
Module 1 — Sensor Collection Unit
- BLE receiver for up to 8 MYOblue EMG/ECG sensors
- Real‑time biosignal aggregation
- WiFi transmission to Module 2
- Dimensions: 26.8х33.6х11.5 mm
- Dedicated WiFi link for long‑range communication
- Receives data from Module 1 and forwards it to a PC
- Stable operation at distances up to 100 meters (line‑of‑sight)
- Dimensions: 26.8х33.6х7.9 mm
- MCU: XIAO ESP32
- Wireless protocols: BLE + WiFi 2.4 GHz
- Power: USB Type‑C, 5V
- Firmware: Open‑source, user‑programmable
- Latency: optimized for real‑time EMG/ECG streaming
- Operating mode: automatic pairing and reconnection
Included in set:
- Module 1 — BLE Sensor Collection Unit
- Module 2 — WiFi Receiver Unit
- 2× Type‑C Male to USB‑A Male adapter
MYOblue GUI is a free, open‑source, Python‑based graphical interface designed for exploring and analyzing EMG signals recorded with MYOblue wireless sensors.
The software supports real‑time, multi‑channel visualization of raw, rectified, smoothed, RMS, and FFT signals, and includes built‑in tools for filtering, recording, playback, and basic signal processing. MYOblue GUI works with up to 8 MYOblue wireless EMG sensors simultaneously and runs on Windows, Linux, and macOS under the MIT license.
For a detailed overview and installation instructions, read the article EMG Analysis Software MYOblue GUI
The software supports real‑time, multi‑channel visualization of raw, rectified, smoothed, RMS, and FFT signals, and includes built‑in tools for filtering, recording, playback, and basic signal processing. MYOblue GUI works with up to 8 MYOblue wireless EMG sensors simultaneously and runs on Windows, Linux, and macOS under the MIT license.
For a detailed overview and installation instructions, read the article EMG Analysis Software MYOblue GUI
These resources guide you through the setup, software tools, and key features of the MYOblue v1.2 EMG system, helping you learn how to work with the sensors and showing you real examples of the EMG signals they capture during use:
The MYOblue v1.2 WiFi Bridge Extension is an optional dual‑module wireless communication system designed to extend the effective operating range of MYOblue EMG/ECG sensors up to 100 meters. Built on the XIAO ESP32 platform, both modules are fully programmable, support open‑source firmware, and provide a reliable BLE‑to‑WiFi bridging solution for long‑distance biosignal acquisition.
The system automatically connects to MYOblue sensors, collects surface EMG and ECG data, and retransmits it via WiFi to the host device, ensuring stable performance even in environments with interference or physical obstacles.
Features:
Technical performance:
Module 1 — Sensor Collection Unit
Included in set:
The system automatically connects to MYOblue sensors, collects surface EMG and ECG data, and retransmits it via WiFi to the host device, ensuring stable performance even in environments with interference or physical obstacles.
Features:
- Dual‑module architecture for long‑range EMG/ECG data transmission
- BLE‑to‑WiFi bridge for extended communication distance
- Up to 100 m wireless range in open environments
- Automatic sensor discovery and pairing
- Based on XIAO ESP32 — compact, efficient, and fully programmable
- Open‑source firmware for customization and research applications
- USB Type‑C power input for convenience and compatibility
- Supports up to 8 MYOblue sensors simultaneously
- Lightweight, portable, and easy to integrate into biomechanics, sports science, and rehabilitation setups
Technical performance:
Module 1 — Sensor Collection Unit
- BLE receiver for up to 8 MYOblue EMG/ECG sensors
- Real‑time biosignal aggregation
- WiFi transmission to Module 2
- Dimensions: 26.8х33.6х11.5 mm
- Dedicated WiFi link for long‑range communication
- Receives data from Module 1 and forwards it to a PC
- Stable operation at distances up to 100 meters (line‑of‑sight)
- Dimensions: 26.8х33.6х7.9 mm
- MCU: XIAO ESP32
- Wireless protocols: BLE + WiFi 2.4 GHz
- Power: USB Type‑C, 5V
- Firmware: Open‑source, user‑programmable
- Latency: optimized for real‑time EMG/ECG streaming
- Operating mode: automatic pairing and reconnection
Included in set:
- Module 1 — BLE Sensor Collection Unit
- Module 2 — WiFi Relay Unit
- 2× Type‑C Male to USB‑A Male adapter
MYOblue GUI is a free, open‑source, Python‑based graphical interface that helps you explore EMG signals using MYOblue wireless sensors.
It supports real‑time multi‑channel visualization of raw, rectified, smoothed, RMS and FFT signals, and includes tools for filtering, recording and playback. The software works with up to 8 MYOblue wireless sensors and runs on Windows, Linux and macOS under the MIT license.
Click the button below for a detailed overview and installation guide:
Explore MYOblue GUI Software It supports real‑time multi‑channel visualization of raw, rectified, smoothed, RMS and FFT signals, and includes tools for filtering, recording and playback. The software works with up to 8 MYOblue wireless sensors and runs on Windows, Linux and macOS under the MIT license.
Click the button below for a detailed overview and installation guide:
These resources guide you through the setup, software tools, and key features of the MYOblue v1.2 EMG system, helping you learn how to work with the sensors and showing you real examples of the EMG signals they capture during use:
Instructions and step-by-step getting started of the MYOblue Wi-Fi Bridge
↓ PDF Datasheet Wi-Fi Bridge MYOblue v1.2:
Review, quick set up and EMG signal registration.
Review, quick set up and EMG signal registration.
This video contains description of each set component, quick set up of the MYOblue sensors and recording EMG signals in real time. Two situations of muscle activity recording are shown here: with 1 sensor and with 4 EMG sensors simultaneously.
The EMG signals are visualized, processed and recorded in MYOblue GUI - free and open-source software provided by Elemyo.
The EMG signals are visualized, processed and recorded in MYOblue GUI - free and open-source software provided by Elemyo.
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