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Products Found: 13
MyoWare 2.0 Link Shield, DEV-18425
The MyoWare 2.0 Link Shield is an expansion board designed to simplify the connection between a MyoWare 2.0 Muscle Sensor and an Arduino or compatible microcontroller. It provides a convenient 3.5 mm TRS jack for linking boards using a cable, along with snap connectors that allow the shield to be stacked directly onto the MyoWare 2.0 sensor without soldering, making setup fast and user-friendly. This shield includes onboard switches for power control and output selection, allowing users to choose between RAW, rectified (RECT), or envelope (ENV) EMG signals depending on the application. It also features status LEDs for power and signal indication, as well as a reference/ground jumper to support stable signal measurement. The design is focused on improving flexibility and modularity in EMG projects, especially in wearable and robotics applications. Overall, the MyoWare 2.0 Link Shield is widely used in human–machine interface systems, biomedical experiments, and robotics projects where muscle signals need to be transmitted cleanly and efficiently to a microcontroller for processing.
MyoWare 2.0 LED Shield, DEV-21869
The MyoWare 2.0 LED Shield is an add-on module designed to visualize muscle activity in real time when used with the MyoWare 2.0 Muscle Sensor system. It features a 10-segment LED bar graph that lights up based on the strength of the detected EMG signal, allowing users to instantly see how much a muscle is being activated. The harder the muscle flexes, the more LEDs illuminate, providing an intuitive and engaging visual feedback system. This shield also includes a built-in 40 mAh LiPo battery and USB-C charging circuit, enabling it to power the MyoWare 2.0 sensor wirelessly for cleaner signal readings and improved portability. It connects easily using snap-style connectors, requiring no soldering, and is designed for quick stacking directly onto the muscle sensor. Additional indicators show charging status and power conditions, making it user-friendly for development and testing. Overall, the MyoWare 2.0 LED Shield is widely used in educational demonstrations, fitness feedback systems, robotics control experiments, and human–machine interface projects where visualizing muscle activity is essential.
MyoWare 2.0 Power Shield, DEV-21868
The MyoWare 2.0 Power Shield is a compact power management module designed to supply stable, portable power to the MyoWare 2.0 Muscle Sensor system. It includes a built-in 40 mAh LiPo battery and a USB Type-C charging circuit, allowing the sensor to be used without external power sources. This makes it ideal for wearable and mobile electromyography (EMG) applications where clean, isolated power is important for accurate muscle signal readings. The shield features snap connectors that allow it to stack directly onto the MyoWare 2.0 Muscle Sensor without soldering, making setup quick and beginner-friendly. It also includes status indicators for charging, full battery, and system power, along with a simple onboard switch for easy control. By providing regulated low-noise power, the module helps improve signal quality while reducing electrical interference and safety risks. Overall, the MyoWare 2.0 Power Shield is widely used in biomedical projects, robotics, and human–machine interface systems, especially where muscle sensors need to operate in a fully portable and self-contained setup.
MyoWare 2.0 Muscle Sensor Version 2.0.4, DEV-21265
The MyoWare 2.0 Muscle Sensor Version 2.0.4, DEV-21265 is a wearable electromyography (EMG) sensor module designed to detect and measure electrical activity produced by skeletal muscles. It uses surface electrodes placed on the skin to capture muscle signals, which are then processed into clean analog outputs that can be read by microcontrollers such as Arduino, ESP32, and other development boards. This version (2.0.4) features improved stability, snap-style electrode connections for easier setup, and multiple output modes including raw, rectified, and envelope signals for flexible signal processing. The sensor is widely used in robotics, prosthetics, human–machine interfaces, and biomedical learning projects, allowing users to control systems through muscle movement. With its adjustable gain, compact wearable design, and reliable signal conditioning, the MyoWare 2.0 Muscle Sensor is a powerful tool for students, researchers, and developers working on muscle-controlled systems and biofeedback applications.
Fingerprint Sensor R307S
The **Fingerprint Sensor R307S** is an optical biometric module designed for accurate fingerprint recognition and secure identity verification in embedded systems. It features an integrated fingerprint acquisition system with built-in DSP processing and FLASH memory, allowing it to perform fingerprint enrollment, storage, matching, and search functions directly on the module. The sensor communicates via a TTL UART serial interface, making it easy to connect with microcontrollers such as Arduino, ESP32, and other 3.3V/5V compatible systems. It supports both 1:1 verification and 1:N identification modes, making it suitable for access control, attendance systems, and security-based applications. With fast response time, stable performance, and compact design, the R307S is widely used in DIY electronics, educational projects, and professional biometric systems where reliable fingerprint authentication is required.
Heart Beat Heart Rate Sensor Module MAX3010X
The **Heart Beat / Heart Rate Sensor Module MAX3010X** is a compact and high-precision optical biosensor designed to measure heart rate and blood oxygen saturation (SpO2). Based on the MAX3010X series chipset, it uses integrated LEDs and a photodetector to detect variations in blood flow through a non-invasive method, typically from a fingertip or earlobe. This module is widely used in wearable health devices, fitness monitoring systems, and biomedical research projects due to its accuracy, low power consumption, and small form factor. It communicates easily with microcontrollers such as Arduino, ESP32, and Raspberry Pi via I2C interface, making integration simple for developers and hobbyists. With its reliable performance and dual-function capability for heart rate and SpO2 monitoring, the MAX3010X sensor module is ideal for students, engineers, and researchers working on modern health tracking and IoT-based medical applications.
Gravity Analog pH Sensor Meter Kit V2
The **Gravity Analog pH Sensor Meter Kit V2** is an upgraded and high-precision pH measurement system designed for accurate detection of acidity and alkalinity in liquid solutions. Developed for use in environmental monitoring, aquaponics, aquaculture, hydroponics, and laboratory experiments, it provides stable and reliable pH readings through an improved signal conditioning board and high-quality probe. The module supports a wide operating voltage range and is compatible with both 3.3V and 5V microcontroller platforms, making it easy to integrate with Arduino, ESP, and similar systems. Featuring enhanced signal filtering, low noise output, and a user-friendly two-point calibration system using standard buffer solutions, the kit ensures improved measurement accuracy and ease of use. With its durable design and consistent performance, the Gravity Analog pH Sensor Meter Kit V2 is a trusted choice for students, hobbyists, and engineers working on water quality analysis and smart environmental systems.
Heart Rate Monitor AD8232
The **Heart Rate Monitor AD8232** is a compact and efficient ECG (electrocardiogram) signal conditioning module designed to measure the electrical activity of the heart. Based on the AD8232 integrated front-end chip, it extracts, amplifies, and filters weak bioelectric signals to provide a clean analog output suitable for microcontrollers such as Arduino and other development platforms. This module is commonly used in health monitoring systems, biomedical experiments, and educational projects to study heart rate and ECG waveforms. It supports single-lead ECG measurement using electrode pads and includes features like noise reduction and leads-off detection for improved signal stability. Easy to interface and highly reliable, the AD8232 heart rate monitor is widely used by students, researchers, and developers working on wearable health devices and bio-signal processing applications.
Pulse Sensor China
The **Pulse Sensor (China)** is a compact and affordable heart rate monitoring module designed to detect pulse signals through a simple optical sensing method. It works by measuring changes in blood flow using a light-based sensor placed on the fingertip or earlobe, converting these variations into analog signals that can be processed by microcontrollers such as Arduino and other development boards. This sensor is widely used in health monitoring projects, fitness devices, and educational experiments due to its ease of use and quick integration. Its lightweight design and low power consumption make it suitable for portable and wearable applications. Ideal for students, hobbyists, and beginners, the Pulse Sensor (China) provides a simple and accessible way to explore basic physiological monitoring and embedded health-related projects.
PH Sensor with Module
The **pH Sensor with Module** is a reliable and easy-to-use electronic system designed to measure the acidity or alkalinity of liquids in various applications. It typically consists of a pH probe and a signal conditioning module that converts weak analog signals into a stable output readable by microcontrollers such as Arduino and other development boards. This sensor is widely used in water quality monitoring, hydroponics, aquariums, environmental testing, and laboratory experiments. The probe is sensitive and capable of detecting small changes in hydrogen ion concentration, providing accurate pH readings when properly calibrated. With its simple interface, stable performance, and broad compatibility, the pH Sensor with Module is an essential tool for students, hobbyists, and engineers working on liquid analysis and smart environmental systems.
Single Lead Heart Rate Monitor AD8232 Original
The **Single Lead Heart Rate Monitor AD8232 (Original)** is a biomedical signal acquisition module designed to measure and condition the electrical activity of the heart for ECG (electrocardiogram) applications. Built around the AD8232 integrated front-end chip, it extracts, amplifies, and filters weak bioelectric signals from the body, producing a clean analog output suitable for microcontroller-based systems such as Arduino and ESP boards. The module supports simple single-lead monitoring using electrode pads and sensor cables, making it ideal for educational experiments, health monitoring prototypes, and biomedical research projects. It also includes features like leads-off detection and noise filtering to improve signal stability in real-world conditions. Compact and easy to interface, this sensor is widely used by students, developers, and hobbyists for learning ECG signal processing and building basic heart rate monitoring systems.
Sensor Cable Electrode Pads 3 connector Sparkfun
The **Sensor Cable Electrode Pads (3-Connector, SparkFun)** are high-quality replacement or extension accessories designed for use with biomedical and EEG/EMG sensor systems. These electrode pads provide reliable skin contact for accurately capturing electrical signals from the human body, making them suitable for neuroscience experiments, bio-signal monitoring, and wearable health projects. Featuring a 3-connector interface, they ensure stable and secure connections with compatible devices and sensor modules. The adhesive pads are designed for comfortable and consistent placement on the skin, helping maintain signal quality during use. Ideal for educational, research, and prototyping applications, these electrode pads are widely used by students, developers, and researchers working on bio-sensing and human-computer interaction systems.
NeuroSky MindWave Mobile 2
The NeuroSky MindWave Mobile 2 is a compact and wireless EEG headset that enables users to monitor brainwave activity in real time using non-invasive sensor technology. It is commonly used in educational, research, and brain-computer interface (BCI) projects to help users understand and interact with mental states such as attention, relaxation, and focus. With its simple setup and Bluetooth connectivity, the device can easily pair with smartphones, tablets, and computers, allowing users to explore neurofeedback applications and interactive experiences. Its lightweight and comfortable design makes it suitable for extended use, while its accessibility makes it ideal for students, developers, and enthusiasts interested in neuroscience and cognitive technology.