Simple Optical Heart Rate Monitor: Difference between revisions
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Created page with "Here are some thoughts about the project ==Team members== Yang Meng Ting ==Idea== Photoplethysmography is a non-invasive optical technique used in commercial wearables and pulse oximeters to monitor heart rate. Our goal is to reproduce the core concept with a simple DIY device to gain a better understanding of this technology. ==Setup(Tentative)== ===Equipment=== ::Green LED ::Photodiode ::DAQ devices/Arduino Uno (or other microcontroller if needed) ::[maybe a Basic o..." |
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1. Attach the sensor (LED and photodiode) to a fingertip (or earlobe). | 1. Attach the sensor (LED and photodiode) to a fingertip (or earlobe). | ||
2. Connect | 2. Connect to acquisition system (DAQ or microcontroller) | ||
3. Observe the raw PPG signal | 3. Observe the raw PPG signal data. | ||
4. Calculate and display heart rate output. | |||
===Expected Results=== | ===Expected Results=== | ||
We expect to see a pulsatile waveform corresponding to the heartbeat in the raw data. We can then compare the observed results with those observed by professional heart rate monitor. | We expect to see a pulsatile waveform corresponding to the heartbeat in the raw data. We can then compare the observed results with those observed by professional heart rate monitor. |
Revision as of 19:22, 18 February 2024
Here are some thoughts about the project
Team members
Yang Meng Ting
Idea
Photoplethysmography is a non-invasive optical technique used in commercial wearables and pulse oximeters to monitor heart rate. Our goal is to reproduce the core concept with a simple DIY device to gain a better understanding of this technology.
Setup(Tentative)
Equipment
- Green LED
- Photodiode
- DAQ devices/Arduino Uno (or other microcontroller if needed)
- [maybe a Basic op-amp circuit]
- Resistors and capacitors
- Breadboard and jumper wires
- (Optional) Small display (OLED or LCD)
Circuit Overview
Software
Measurements
Procedure
1. Attach the sensor (LED and photodiode) to a fingertip (or earlobe).
2. Connect to acquisition system (DAQ or microcontroller)
3. Observe the raw PPG signal data.
4. Calculate and display heart rate output.
Expected Results
We expect to see a pulsatile waveform corresponding to the heartbeat in the raw data. We can then compare the observed results with those observed by professional heart rate monitor.