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On the Design and Implementation of a Highly Accurate Pulse Predictor for Exercise Equipment.
IEEE Transactions on Bio-medical Engineering 2015 August
GOAL: This study aims to develop highly accurate heart rate monitoring from the hand-held contact signal within a noisy environment during exercise.
METHODS: The periodic pattern and uncertainties of a physiological signal are modeled by a Laplacian random process. Based on this statistical model, a highly accurate pulse predictor (HAPPEE) is derived and implemented in real-time on a Cypress PSoC 5LP development board. A real-time experiment is designed to compare HAPPEE with a commercial heart rate monitor from POLAR. The percentage of credible estimates and the mean square error (MSE) of credible estimates are reported for experiments with seven healthy subjects.
RESULTS: The overall percentage of credible estimates is 99.2% for HAPPEE and 93.6% for POLAR. The overall MSE of credible estimates is 3.1 for HAPPEE and 7.7 for POLAR. These results show that HAPPEE is more accurate than POLAR.
CONCLUSION: HAPPEE is able to accurately monitor heart rate within a noisy environment during exercise.
SIGNIFICANCE: Unlike existing heart rate estimation methods, HAPPEE does not require pulse detection or tuning parameters. It can be easily implemented in real-time on a low power and low cost development board for exercise equipment and outperforms a commercial heart rate monitor.
METHODS: The periodic pattern and uncertainties of a physiological signal are modeled by a Laplacian random process. Based on this statistical model, a highly accurate pulse predictor (HAPPEE) is derived and implemented in real-time on a Cypress PSoC 5LP development board. A real-time experiment is designed to compare HAPPEE with a commercial heart rate monitor from POLAR. The percentage of credible estimates and the mean square error (MSE) of credible estimates are reported for experiments with seven healthy subjects.
RESULTS: The overall percentage of credible estimates is 99.2% for HAPPEE and 93.6% for POLAR. The overall MSE of credible estimates is 3.1 for HAPPEE and 7.7 for POLAR. These results show that HAPPEE is more accurate than POLAR.
CONCLUSION: HAPPEE is able to accurately monitor heart rate within a noisy environment during exercise.
SIGNIFICANCE: Unlike existing heart rate estimation methods, HAPPEE does not require pulse detection or tuning parameters. It can be easily implemented in real-time on a low power and low cost development board for exercise equipment and outperforms a commercial heart rate monitor.
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