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MyoWare 2.0 Muscle Sensor Wireless Kit targets electromyography (EMG) applications

The MyoWare 2.0 Muscle Sensor Wireless Kit is an Arduino-compatible electromyography (EMG) sensor kit capable of detecting and measuring the electrical signals generated by muscle fibers in the body. The MyoWare 2.0 kit is a collaborative product by SparkFun and Advancer Technologies. The MyoWare 2.0 ecosystem brings several improvements over the previous generation, including a compact design, solderless snap connectors, and an upgraded chipset for improved reliability and performance. It includes shields designed to seamlessly interface with the MyoWare 2.0 Muscle sensor, a wearable, Arduino-compatible EMG sensor. The Muscle Sensor’s wearable design makes it possible to directly attach biomedical sensor pads and add-on shields to the board. It operates on a single-supply voltage between +3.3V to +5V and supports three separate output modes. It analyzes filtered and rectified activity from muscle movement and outputs a signal from 0 to the power source voltage (VIN) that represents the intensity of flex. […]

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ardEEG shield works with Arduino UNO R4 WiFi for biosignals measurement

PiEEG has launched the ardEEG shield specially designed for the Arduino UNO R4 WiFi and capable of measuring biosignals such as those used in electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG). PiEEG, led by Ildar Rakhmatulin, Research Associate at Heriot-Watt University in Edinburgh, launched the PiEEG shield for Raspberry Pi to enable brain-computer interfaces last year, and now the company has been working on the equivalent design for Arduino with the ardEEG shield equipped with eight channel taking input from wet or dry electrodes. ardEEG shield key features and specifications ADC – Texas Instruments ADS1299 Analog-to-Digital Converter for biopotential measurements Supported board – Arduino UNO R4 WiFi 8 channels for connecting wet or dry electrodes (Electrodes are positioned according to the International 10-20 system) Host interface – Arduino headers with SPI used for data transfer with a frequency from 250 SPS to 16 kSPS and a resolution of 24 bits […]

ArmSoM CM5 - Raspberry Pi CM4 alternative with Rockchip RK3576 SoC
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PiEEG shield for Raspberry Pi enables brain computer interfaces (Crowdfunding)

PiEEG is an open-source hardware Raspberry Pi shield that measures electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG) bio-signals and provides a brain-computer interface to applications or robots for gaming, entertainment, sports, health, etc… Ildar Rakhmatulin, a Research Associate at Heriot-Watt University in Edinburgh, is passionate about open-source brain-computer interfaces and first created the IronBCI project based on ADS1299 and STM32 and published a research paper entitled “Low-cost brain computer interface for everyday use” about his work. But cost increases related to the semiconductors shortage of recent years meant the price for his “low-cost” project shot up to over $1,000. So he went back to the drawing board and created the PiEEG shield for Raspberry Pi now available on Crowd Supply. PiEEG shield specifications: ADC – Texas Instruments ADS1299 Analog-to-Digital Converter for biopotential measurements Supported SBCs – Raspberry Pi 3 or 4, and boards with the same 40-pin GPIO header. Host […]

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BioAmp EXG Pill board enables ECG, EMG, EOG, and EEG biosensing (Crowdfunding)

BioAmp EXG Pill is a small Analog Front End (AFE) biopotential signal-acquisition board designed to be interfaced to any 5V MCU board with an analog-to-digital converter (ADC) such as most Arduino boards, or through a dedicated 5V ADC like the Texas Instruments ADS1115. The board can record biopotential signals like ECG (electrocardiogram), EMG (electromyography), EOG (electrooculography), and EEG (electroencephalogram), or in more simple terms, biosignals from the heart, muscles, eyes, or brain activity. BioAmp EXG Pill key features and specifications: Compatible with any 5V MCU with an ADC Biopotentials: ECG, EOG, EMG, and EEG (configurable) No. of channels: 1 Electrodes: 2 or 3 (configurable) Input Voltage – 5 – 40 V Input Impedance: > 35 MΩ Dimensions – 25.4 x 10 mm OSHWA certifications – IN000026 The board is open-source hardware and you’ll find KiCAD hardware design files like schematics and Gerber files on Github where you’ll also find several […]

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E3K all-in-one wireless bio-sensing platform supports EMG, ECG, and EEG sensors (Crowdfunding)

Over the year, The maker community has designed several platforms to monitor vital signs with boards like Healthy Pi v4 or HeartyPatch both of which are powered by an ESP32 WiFi & Bluetooth wireless SoC. WallySci has designed another all-in-one wireless bio-sensing platform, called E3K, that also happens to be powered by Espressif Systems ESP32 chip, and can be connected to an electromyography (EMG) sensor to capture muscle movements, an electrocardiography (ECG) sensor to measure heart activity, and/or an electroencephalography (EEG) sensor to capture brain activity. The board also has an extra connector to connect a 9-axis IMU to capture motion. E3K main board which the company refers to as “Data Communication and Processing Unit” (DCPU) comes with the following specifications: Supported wireless board – ESP32-DevKitC with ESP32-D0WD-V3 dual-core 32-bit LX6 microprocessor, up to 240 MHz, Integrated 520 KB SRAM, 16 MByte SPI flash. 2.4 GHz WiFI 4, and Bluetooth […]

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HackEEG Arduino Shield Reads Signals from Your Brain (EEG), Muscles (EMG), and Heart (EKG)

Biosignals are signals from living beings that can be continually measured & monitored, and some common methods to measure those biosignals include electroencephalogram (EEG) to monitor the electrical activity in your brain, electromyography (EMG) for recording the electrical activity produced by skeletal muscles, and electrocardiogram (EKG or ECG) to measure electrical activity of your heartbeat. Those can be used for brain interfaces which according to a recent Ericsson’s report may become commonplace by 2030 with users just thinking about commands, prosthetic arms, health and disease monitoring, and so on. Starcat has designed the HackEEG shield to experiment with all those three methods using an Arduino board and electrodes. HackEEG features and specifications: TI ADS1299 8-Channel, 24-Bit ADC for biopotential measurements SPI EEPROM for storing configuration data 8x analog-digital conversion (ADC) channels, each with a 24x programmable-gain amplifier (PGA). Up to 4x shields can be stacked on one Arduino Due for […]

Rockchip RK3568/RK3588 and Intel x86 SBCs
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EduExo DIY Robotic Exoskeleton Kit is Arduino Powered, 3D Printable, Designed for STEM Education (Crowdfunding)

Robotic exoskeletons are used for medical purposes such as helping with the rehabilitation of stroke patients, or enable paraplegics to walk again, as well as in the work place to assist people lifting heavy objects. While it’s possible to learn about the theory about exoskeleton technology, practical experience may help grasping all concepts better. However, there are not many courses available, and exoskeletons are usually expensive, so Volker Bartenbach, PhD at ETH in Zürich, has decided to created EduExo robotic exoskeleton kit for education purpose. The EduExo hardware is based on off-the-shelf components like an Arduino UNO board, a motor, and a force sensor, as well as a rigid exoskeleton structure and cuff interfaces. The latter is optional as you can get the kit without it, and will instead receive the STL files to 3D print the parts yourself. There’s also a handbook to help you get started in several […]

Boardcon Rockchip and Allwinner SoM and SBC products