Biometric/ECG/EMG Sensor

Capacitive Fingerprint Scanner is based on the KCT203 Semiconductor fingerprint recognition module, including a high-performance MCU, a vertical RF push-type fingerprint sensor, and a touch sensing device. This module features many advantages such as small size, small fingerprint template, low power consumption, high reliability, fast fingerprint recognition, etc. In addition, it is worth mentioning that there is a lovely RGB light around this module to indicate whether the fingerprint recognition is successful.

The system is equipped with a high-performance fingerprint algorithm, and the self-learning function is remarkable. After each successful fingerprint recognition, the latest challenge feature values can be integrated into the fingerprint database to continuously improve the fingerprint features, making the experience better.

We add the power level shift circuit on the Grove Driver board so that this module can work with both 3.3V and 5V systems. And with the help of the Grove UART connector and the Arduino library we offered, you can build your own Arduino fingerprint sensor/scanner easily.

Application:

1. Fingerprint lock devices: door locks, safes, steering wheel locks, padlocks, gun locks, etc.
2. Fingerprint sign-in, access control system

Features:

1. Built-in 2KByte storage: support up to 100 fingerprints
2. Powerful self-learning function: the more you use, the more accurate the recognition
3. Selectable security level
4. Small size, low power consumption,10uA for standby mode

Heart rate data can be really useful whether you’re designing an exercise routine, studying your activity or anxiety levels, or just want your shirt to blink with your heartbeat. The problem is that the heart rate can be difficult to measure. Luckily, the Pulse Sensor can solve that problem!

The Pulse Sensor is a plug-and-play heart-rate sensor for Arduino. It can be used by students, artists, athletes, makers, and game & mobile developers who want to easily incorporate live heart-rate data into their projects. It essentially combines a simple optical heart rate sensor with amplification and noise cancellation circuitry making it fast and easy to get reliable pulse readings. Also, it sips power with just 4mA current draw at 5V so it’s great for mobile applications.

Simply clip the Pulse Sensor to your earlobe or fingertip and plug it into your 3 *or *5 Volt Arduino and you’re ready to read heart rate! Of course, the Arduino example code is available as well as a Processing sketch for visualizing heart rate data.

Features:

1. Compatible With Arduino
2. Digital Output Sensor
3. Works on 5VDC

If you are wandering to make a machine which is used to detect heart rate and pulse rate. then this sensor Module is Compatible with you.

Heart Rate click carries Maxim’s MAX30100 integrated pulse oximetry and a heart-rate sensor. It’s an optical sensor that derives its readings from emitting two wavelengths of light from two LEDs – a red and an infrared one – then measuring the absorbance of pulsing blood through a photodetector. This particular LED color combination is optimized for reading the data through the tip of one’s finger.

The signal is processed by a low-noise analog signal processing unit and communicated to the target MCU through the mikroBUS I2C interface. Developers of end-user applications should note that the readings can be negatively impacted by excess motion and changes in temperature. Also, too much pressure can constrict capillary blood flow and therefore diminish the reliability of the data. A programmable INT pin is also available. The operates at the 3.3V power supply.

Main Applications:

1. Medical Monitoring Devices
2. Fitness Assistant Devices
3. Wearable Devices

Pin Configuration:

Circuit Diagram:

Specifications and Features:

1. Optical sensor: IR and red LED combined with a photodetector
2. Measures absorbance of pulsing blood
3. I2C interface plus INT pin
4. 3.3V power supply complete pulse oximeter and heart rate sensor solution, simplifies design, integrated LEDs, photo sensor, and
5. high-performance analog front
6. Ultra low power operation increases battery life for wearable devices
7. Advanced functionality improves measurement performance, high SNR provides robust motion artifact resilience integrated
8. ambient, light cancellation high sample rate capability fast data output capability
9. It is an integrated pulse oximetry and heart rate monitor sensor solution.

his KY-039 Finger Detection Heartbeat Measuring Sensor Module uses bright infrared (IR) LED and a phototransistor to detect the pulse of the finger, a red LED flashes with each pulse.

The LED is the light side of the finger, and the phototransistor on the other side of the finger, phototransistor used to obtain the flux emitted, when the blood pressure pulse by the finger when the resistance of the phototransistor will be slightly changed.

We chose a very high resistance resistor R1 because most of the light through the finger is absorbed, it is desirable that the phototransistor is sensitive enough. Resistance can be selected by experiment to get the best results. The most important is to keep the shield stray light into the phototransistor.

For home lighting that is particularly important because the lights at home mostly based 50HZ or 60HZ fluctuate, so faint heartbeat will add considerable noise.

Example Code:

// Pulse Monitor Test Script
int sensorPin = 0;
double alpha = 0.75;
int period = 100;
double change = 0.0;
double minval = 0.0;
void setup ()
{
Serial.begin (9600);
}
void loop ()
{
static double oldValue = 0;
static double oldChange = 0;

int rawValue = analogRead (sensorPin);
double value = alpha * oldValue (1 – alpha) * rawValue;

Serial.print (rawValue);
Serial.print (“,”);
Serial.println (value);
oldValue = value;

delay (period);
}

Features :

1. Use IR LED and an optical transistor to detect pulsation in fingers
2. Small and Compact module
3. Easy to use.

The GT511C3 Optical Fingerprint Scanner Module with JST SH Connector is a high-performance fingerprint scanner. Which is useful for to access control, security, identification, and convenience. This optical sensor module is designed for easy integration into applications with serial interface (UART). We need two wires are for TX and RX and two wires for power supply (5V).

The main difference between GT511C3 and GT521F52 is fingerprint storage capacity.

The Difference between GT511C3 and GT521F32 is :

There are four types of fingerprint scanner: the optical scanner, the capacitance scanner, the ultrasonic scanner, and the thermal scanner. The GT511C3 Fingerprint Scanner Module is an optical scanner module. This optical scanner takes a visual image using a digital camera.

The pictures of the fingerprints are processed onboard by the fingerprint algorithm (low power 32-bit ARM Cortex-M3 processor) and convert it into strings of data. These so-called ‘templates’ are residing on the module configured as a USB mass storage device. They can store and share through a database with other modules in a network, allowing easy enrollment of many users.

The Ecg module AD8232 heart ECG monitoring sensor module Kit For Arduino is a cost-effective board use to measure the electrical activity of the heart. This electrical activity can be chart as an ECG or Electrocardiogram and output as an analog reading.

ECGs can be extremely noisy, the AD8232 Single Lead Heart Rate Monitor acts as an op-amp to help obtain a clear signal from the PR and QT Intervals easily. The ECG module AD8232 heart ECG monitoring sensor module is an integrated signal conditioning block for ECG and other bio-potential measurement applications.

The ECG Module AD8232 Heart ECG Monitoring Sensor Module Kit for Arduino is designed to extract, amplify, and filter small bio-potential signals in the presence of noisy conditions; such as those created by motion or remote electrode placement.

The AD8232 Heart Rate Monitor breaks out nine connections from the IC that you can solder pins, wires, or other connectors too. SDN, LO , LO-, OUTPUT, 3.3V, GND provide essential pins for operating this monitor with an Arduino or other development board.

The fingerprint algorithm extracts features from the acquired fingerprint image and represents the fingerprint information. The storage, comparison, and search of fingerprints are all done by operating fingerprint features.
Fingerprint processing includes two processes: fingerprint registration process and fingerprint matching process (in which fingerprint matching is divided into fingerprint comparison (1:1) and fingerprint search (1:N) two ways).

When the fingerprint is registered, two fingerprints are entered for each fingerprint, and the input image is processed twice. The synthesis module is stored in the module.
When the fingerprint is matched, the fingerprint sensor is used to input the fingerprint image to be verified and processed, and then it is compared with the fingerprint module in the module (if it is matched with a module specified in the module, it is called fingerprint comparison mode, ie, 1:1 mode. If matching with multiple modules is called fingerprint search, ie 1:N mode, the module gives the matching result (pass or fail).

This is a small 1D/2D codes reader, by using the intelligent image recognition algorithm, it will decode the barcode or 2D code on paper or screen, fast and accurately.

Through the onboard USB and UART interface, it can be directly plugged into a computer, or be easily integrated to kinds of devices due to its small form factor.

Features: 

1. Easy to use, requires no knowledges of image recognition
2. Decodes various common 1D/2D codes such as Barcode, QR code etc.
3. Onboard micro USB and UART serial port, allows to connect with computers or embedded devices
4. Configurable via scanning ‘configuration code’
5. Onboard light source, works in the dark

The SparkFun Pulse Oximeter and Heart Rate Sensor is an I²C based biometric sensor, utilizing two chips from Maxim Integrated: the MAX32664 Biometric Sensor Hub and the MAX30101 Pulse Oximetry and Heart Rate Module. While the latter does all the sensing, the former is an incredibly small and fast Cortex M4 processor that handles all of the algorithmic calculations, digital filtering, pressure/position compensation, advanced R-wave detection, and automatic gain control. We’ve provided a Qwiic connector to easily connect to the I²C data lines but you will also need to connect to two additional lines. This board is very small, measuring at 1in x 0.5in (25.4mm x 12.7mm), which means it will fit nicely on your finger without all the bulk.

The MAX30101 does all the sensing by utilizing its internal LEDs to bounce light off the arteries and arterioles in your finger’s subcutaneous layer and sensing how much light is absorbed with its photodetectors. This data is passed onto and analyzed by the MAX32664 which applies its algorithms to determine heart rate and blood oxygen saturation (SpO2). SpO2 results are reported as the percentage of hemoglobin that is saturated with oxygen. It also provides useful information such as the sensor’s confidence in its reporting as well as a handy finger detection data point. To get the most out of the sensor we’ve written an Arduino library to make it easy to adjust all the possible configurations.

Applications:

1.  Wearable Fitness
2.  Hearables
3. Wearable Medical
4.  Portable Medical
5.  Mobile Devices

Features:

1. Heart-Rate Monitor and Pulse Oximeter Sensor in LED Reflective Solution
2. Integrated Cover Glass for Optimal, Robust Performance
3. Biometric Sensor Hub Solution Enables Faster Time to Market

This  R503 DC12V Low Power Consumption Ring Fingerprint Access Control Board is an all-in-one control board with the onboard STM8 microcontroller. This module can act as a standalone system for the fingerprint access control system. The board comes with an onboard relay which is activated by the microcontroller when the fingerprint is detected. The activation time of the relay can be controlled via a multiturn potentiometer, which can be adjusted through 0.5 sec -13 sec.

How To Use:

1. After providing power to the module, the module will be in its initial factory mode where any fingerprint can activate the relay.
2. To register the fingerprint long press the SET  button for 3-4 sec, when the BLUE LED starts blinking it indicates that the module is ready to register the fingerprint.
3. Now place the finger which you want to register on the scanner and after the 5 beeps remove the finger. If you want to add other fingerprints then you can add or wait for some time till the LED stops blinking.
4. After the LED stops blinking you can use the registered fingerprint to activate the relay. When a registered fingerprint is read by the sensor the BLUE led will glow around the sensor and a RED/ORANGE led will glow if an unregistered fingerprint is detected.
5. The SET time of the relay can be adjusted by the multiturn potentiometer.

Features:

1. Low Power Consumption.
2. fingerprint store capacity

The DFRobot heart rate and oximeter sensor integrate the Maxim MAX30102 chip and an MCU with a heart rate and oximetry algorithm.

Features:

APPLICATIONS

Specifications:

Have your next project be controlled by your muscles with this pack of Muscle Sensor Surface EMG Electrodes! Pair the electrodes with the MyoWare Muscle Sensor and a microcontroller (ie. Arduino, or anything else with analog input reading ability) to create a DIY low-cost version of an EMG or an electromyograph!

This is for hobbyist use only.

Electromyography is an electrodiagnostic medicine technique for evaluating and recording the electrical activity produced by skeletal muscles. Use these sensors in prosthetics, robotics, and so much more!

The H124SG Covidien electrode type has a pre-gelled adhesive side with non-irritating gel, especially developed to prevent allergic reactions. The foam electrode is latex free and therefore suitable for every skin type.

The snap-on connector can easily be pushed on or removed from the electrode lead on the MyoWare. Therefore you have optimal user friendliness as you dispose this electrode after every session! No more greasy electrodes as the H124SG will cover the surface of the electrode. This also extends the life of your electrodes.