MAX86140
MAX86140 is Best-in-Class Optical Pulse Oximeter and Heart-Rate Sensor manufactured by Maxim Integrated.
Description
The MAX86140/MAX86141 are ultra-low-power, pletely integrated, optical data acquisition systems. On the transmitter side, the MAX86140/MAX86141 have three programmable high-current LED drivers that can be configured to drive up to six LEDs using an external 3x2:1 mux. With two MAX86140/MAX86141 devices working in master-slave mode, the LED drivers can drive up to twelve LEDs using an external 3x2:1 mux. On the receiver side, MAX86140 consists of a single optical readout channel, while the MAX86141 has two optical readout channels that can operate simultaneously. The devices have lownoise signal conditioning analog front-end (AFE) including 19-bit ADC, an industry-lead ambient light cancellation (ALC) circuit, and a picket fence detect and replace function. Due to the low power consumption, pact size, ease of use, and industry-lead ambient light rejection capability of MAX86140/MAX86141, the devices are ideal for a wide variety of optical-sensing applications, such as pulse oximetry and heart rate detection.
The MAX86140/MAX86141 operate on a 1.8V main supply voltage and a 3.1V to 5.5V LED driver supply voltage. Both devices support a standard SPI patible interface and fully autonomous operation. Each device has a large 128-word built-in FIFO. The MAX86140/MAX86141 is available in pact wafer-level package (WLP) (2.048 x 1.848mm) with 0.4mm ball pitch.
Applications
- Wearable Devices for Fitness, Wellness and Medical Applications
- Optimized for Wrist, Finger, Ear, and Other Locations
- Optimized Performance to Detect
- Optical Heart Rate
- Oxygen Saturation (Sp O2)
- Muscle Oxygen Saturation (Sm O2 and St O2)
Benefits and Features
- plete Single and Dual-Channel Optical Data Acquisition System
- Optimized Architecture for Transmissive and Reflective Heart Rate or Sp O2 Monitoring
- Low Dark Current Noise of < 50p A RMS (Sample to Sample Variance)
- Lower Effective Dark Current Noise Achievable Through Multiple Sample Modes and On-Chip Averaging
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