AD8232 ECG Physiological Measurement Heart Pulse Single Lead Heart Rate Monitor Sensor Module for Arduino

Single-lead heart rate monitoring front end

AD8232 is an integrated front end, suitable for signalling cardiac bioelectrical signals

No. conditioning for heart rate monitoring.

An integrated signal conditioning module for ECG and other bioelectric measurement applications. The device is designed to extract, amplify and filter weak bioelectric signals in the presence of noise caused by movement or remote electrode placement. This design enables an ultra-low power analog-to-digital converter (ADC) or embedded microcontroller to easily collect the output signal.

AD8232 uses a two-pole high-pass filter to eliminate motion artifacts and electrode half-cell potential. The filter is tightly coupled with the instrumentation amplifier structure to achieve single-stage high gain and high-pass filtering, thereby saving space and cost.

AD8232 uses a non-use-constrained operational amplifier to create a three-pole low-pass filter, eliminating additional noise. Users can choose the cutoff frequency of all filters to meet the needs of different types of applications.

In order to improve the common-mode rejection performance of the system line frequency and other undesirable interference, the AD8232 has a built-in amplifier for driven lead applications such as right-side drive (RLD).

The AD8232 includes a fast recovery function that can reduce the long set-up tail of the high-pass filter. If the amplifier rail voltage has a signal sudden change (such as a lead-off condition), the AD8232 will automatically adjust to a higher filter cut-off state. This function allows the AD8232 to achieve rapid recovery, so that a valid measurement value can be obtained as soon as possible after the lead is connected to the electrode of the measurement object.

The rated temperature range for guaranteed performance is 0 ℃ to 70 ℃, and the operating temperature range is -40 ℃ to +85 ℃.

Fitness and exercise heart rate monitoring

Portable ECG

Remote health monitoring

Game peripherals

Bioelectric signal acquisition