Key result
The proposed SFST framework for heart rate monitoring from PPG signals during physical activities achieved an average absolute estimation error of 1.06 beats/min compared to true HR via ECG.
Why the study?
Does the proposed SFST framework accurately estimate heart rate from PPG signals during physical activities compared to ECG?
Population
12 datasets of photoplethysmography signals sampled at 25 Hz recorded during different physical activities
Comparison
Joint framework combining Short-time Fourier… vs True heart rate derived via ECG
Design
Other
Authors
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May support wearable PPG HR monitoring during exercise; hypothesis-generating pending prospective clinical validation.
Does the proposed SFST framework accurately estimate heart rate from PPG signals during physical activities compared to ECG?
The proposed SFST framework provides reliable heart rate monitoring from PPG signals during high-intensity physical activities, with potential applications in smart wearable devices.
Zhao et al. (2016) studied Heart rate monitoring during physical activities. SFST framework (Short-time Fourier Transform and spectral analysis) vs. True HR via ECG was evaluated on Average absolute estimation error of heart rate. The proposed SFST framework for heart rate monitoring from PPG signals during physical activities achieved an average absolute estimation error of 1.06 beats/min compared to true HR via ECG.
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