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Smart Wearable Using IoT

Client Overview

  • The client needs smart wearable based on health parameters like blood oxygen and pulse rate

Business Challenge

  • The smart wearable design eliminates the requirements to measure blood oxygen level and pulse rate manually.
  • Design and developments of the advanced signal processing algorithms for pulse oximeter wearable.
  • Blood oxygen saturation is calculated by applying a set of algorithms to differentiate between oxygenated hemoglobin and de-oxyhemoglobin using infrared signals.

Solution Architecture

smart-wearable

AumRaj Contribution

  • The AFE4403 chip used to obtain a person’s blood oxygen level and pulse rate using an LED skin reflection signal.
  • Used mixed-signal processor STM32 to calculate the blood oxygen level and pulse rate using LED reflection signal with motion detection sensor.
  • The microprocessor MSP430 to control the whole system.
  • Used wireless module to offer wireless communication with IoT cloud.
  • Developed mobile app to appear real-time data of oxygen level and pulse rate.

Benefits Delivered

  • Easy to monitor blood oxygen level and pulse rate.
  • Emergency notification in critical health parameters reading.
  • Real-time data on the mobile app, anytime. 
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