August 1, 2015

MICROST: A mixed approach for heart rate monitoring during intensive physical exercise using wrist-type PPG Signals

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Why the study?

Does the MICROST algorithm accurately estimate heart rate from wrist-type PPG signals during intensive physical exercise?

Population

12 subjects during fast running and intensive movement

Design

Other

Authors

SZShilin ZhuGuangxi Hydraulic Power Machinery Research Institute KTKe TanMETA Health XZXinyu ZhangYancheng Teachers University

Discussion

Member takes

Implication

Supports accurate wrist PPG HR monitoring during exercise; leaves open prospective validation before clinical adoption.

Structured PICO

Does the MICROST algorithm accurately estimate heart rate from wrist-type PPG signals during intensive physical exercise?

Population

12 subjects during fast running and intensive movement

Intervention

MICROST algorithm (MIxed algorithm consisting of acceleration Classification, fiRst-frame prOcessing and heuriStic Tracking) for heart rate estimation using wrist-type PPG signals

Outcome

Accuracy of heart rate estimation (average absolute error and Pearson correlation)surrogate

The MICROST algorithm provides highly accurate heart rate estimation from wrist-type PPG signals during intensive physical exercise, effectively mitigating motion artifacts.

Cite This Study

Zhu et al. (2015) studied this question.

synapsesocial.com/papers/6a223a222e2a416fdaa41aac https://doi.org/10.1109/embc.2015.7318864

View Full Paper

Ask AI

Bookmark

MICROST: A mixed approach for heart rate monitoring during intensive physical exercise using wrist-type PPG Signals

Discussion

Member takes

Implication

Structured PICO

Cite This Study

MICROST: A mixed approach for heart rate monitoring during intensive physical exercise using wrist-type PPG Signals

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider