Comparison between Fitbit's Charge HR and Microlife's Wrist Watch for Healthcare

In this study, two commercially available pulse rate monitoring wrist watches, the Fitbit’s Charge HR and the Microlife’s wrist watch, are compared for testing under a number of controlled situations, including resting and post-physical activity. This study is driven by known variability in wearable heart-rate sensing caused by motion artifacts, sensor location, and physiological variances, as described in previous validation studies, rather than assuming measurement errors. Therefore, the absence of context-specific comparative assessments of consumer-grade pulse monitoring devices among local populations and real-world usage situations is the research gap that this study attempts to fill. This study attempts to quantify accuracy discrepancies, uncover scenario-dependent performance variances, and give empirical evidence to support these findings by methodically comparing Fitbi’s Charge HR and Microlife’s wrist watch readings against standardized reference values. Accuracy is measured by testing strategies, testing strategies which are used in this research work are Black-box testing. Black-box testing methods include both hardware testing and software testing.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-31
DOI
https://doi.org/10.5281/zenodo.18253603
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Comparison between Fitbit's Charge HR and Microlife's Wrist Watch for Healthcare

Din Muhammad Sangrasi, Hina Ali
Zenodo (CERN European Organization for Nuclear Research)
Non-Invasive Vital Sign Monitoring
article

Comparison between Fitbit's Charge HR and Microlife's Wrist Watch for Healthcare

Din Muhammad Sangrasi, Hina Ali
article en

Abstract

In this study, two commercially available pulse rate monitoring wrist watches, the Fitbit’s Charge HR and the Microlife’s wrist watch, are compared for testing under a number of controlled situations, including resting and post-physical activity. This study is driven by known variability in wearable heart-rate sensing caused by motion artifacts, sensor location, and physiological variances, as described in previous validation studies, rather than assuming measurement errors. Therefore, the absence of context-specific comparative assessments of consumer-grade pulse monitoring devices among local populations and real-world usage situations is the research gap that this study attempts to fill. This study attempts to quantify accuracy discrepancies, uncover scenario-dependent performance variances, and give empirical evidence to support these findings by methodically comparing Fitbi’s Charge HR and Microlife’s wrist watch readings against standardized reference values. Accuracy is measured by testing strategies, testing strategies which are used in this research work are Black-box testing. Black-box testing methods include both hardware testing and software testing.

Zenodo (CERN European Organization for Nuclear Research)
Mehran University of Engineering and Technology (PK)
Quality Education
Openalex Percentile: Top 40%
Non-Invasive Vital Sign Monitoring
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