Presentation on theme: "Project 2 Heart Rate Monitoring During Physical Exercise Christian Chipouras Anthony D’Onofrio Kyle Sexton."— Presentation transcript:
Project 2 Heart Rate Monitoring During Physical Exercise Christian Chipouras Anthony D’Onofrio Kyle Sexton
What is Photoplethysmogram? Uses light to detect volume in an organ Uses pulse oximeter ◦With LED ◦Measures the difference in the intensity of the light reflected from the skin Just as accurate as ECG
Our Device Implementing Finger PPG ◦Understand the Circuit and Software Wrist Type PPG ◦Using ultra bright LED’s on arteries ◦Sensors on forearm ◦Using PIC Processor to filter noise. ◦X[n] –((x[n+1] – x[n-1]) / 2)
IEEE Competition Create Matlab Script to get best signal to noise ratio of PPG signals Given accelerator data, ECG of Chest, PPG of Wrist Using adaptive and least mean square signal processing techniques to filter noise Could use HAPPEE or Autocorrection ◦Highly Accurate Pulse Predictor for Exercise Equipment
Block Diagram of Adaptive Filter H - S + No + Z Σ S = signal corrupted with unwanted noise, No N 1 = reference input noise component with accelerator data H = transfer function Y = Output Z = System Output N1 N1 Y
References  Kay, Steven, “On the Design and Implementation of Highly Accurate Pulse Predictor for Exercise Equipment” IEEE, 2014. Journal. 25 Sept. 2014.  Nakano, Masanao, Instantaneous Heart Rate Detection Using Short-Time Autocorrelation for Wearable Healthcare Systems IEEE, 2014 Journal. 25 Sept.2014  Tamura, Toshiyo, “Wearable Photoplethysmographic Sensors—Past and Present.” Electronic Journal. 15 April 2014. Journal. 19 September. 2014.  Zhang, Zhilin. "2015 IEEE Signal Processing Cup." 2015 IEEE Signal Processing Cup. IEEE, 2014. Web. 10 Sept. 2014.