HEART-Watch: A multimodal physiological dataset from a Google Pixel Watch across different physical states
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866914178920349696 |
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| author | Kaetheeswaran, Jathushan Ma, Boyi Abedi, Ali Lankarany, Milad Khan, Shehroz |
| author_facet | Kaetheeswaran, Jathushan Ma, Boyi Abedi, Ali Lankarany, Milad Khan, Shehroz |
| contents | Consumer-grade smartwatches offer a new personalized health monitoring option for general consumers globally as cardiovascular diseases continue to prevail as the leading cause of global mortality. The development and validation of reliable cardiovascular monitoring algorithms for these consumer-grade devices requires realistic biosignal data from diverse sets of participants. However, the availability of public consumer-grade smartwatch datasets with synchronized cardiovascular biosignals is limited, and existing datasets do not offer rich demographic diversity in their participant cohorts, leading to potentially biased algorithm development. This paper presents HEART-Watch, a multimodal physiological dataset collected from temporally synchronized wrist-worn Google Pixel Watch 2 electrocardiogram (ECG), photoplethysmography, and accelerometer signals from a diverse cohort of 40 healthy adults across three physical states - sitting, standing and walking with reference chest ECG. Intermittent upper arm blood pressure measurements and concurrent biosignals were collected as an additional biomarker for future research. The motivation, methodology, and initial analyses of results are presented. HEART-Watch is intended to support the development and benchmarking of robust algorithms for cardiovascular analyses on consumer-grade smartwatches across diverse populations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_03988 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | HEART-Watch: A multimodal physiological dataset from a Google Pixel Watch across different physical states Kaetheeswaran, Jathushan Ma, Boyi Abedi, Ali Lankarany, Milad Khan, Shehroz Human-Computer Interaction J.3 Consumer-grade smartwatches offer a new personalized health monitoring option for general consumers globally as cardiovascular diseases continue to prevail as the leading cause of global mortality. The development and validation of reliable cardiovascular monitoring algorithms for these consumer-grade devices requires realistic biosignal data from diverse sets of participants. However, the availability of public consumer-grade smartwatch datasets with synchronized cardiovascular biosignals is limited, and existing datasets do not offer rich demographic diversity in their participant cohorts, leading to potentially biased algorithm development. This paper presents HEART-Watch, a multimodal physiological dataset collected from temporally synchronized wrist-worn Google Pixel Watch 2 electrocardiogram (ECG), photoplethysmography, and accelerometer signals from a diverse cohort of 40 healthy adults across three physical states - sitting, standing and walking with reference chest ECG. Intermittent upper arm blood pressure measurements and concurrent biosignals were collected as an additional biomarker for future research. The motivation, methodology, and initial analyses of results are presented. HEART-Watch is intended to support the development and benchmarking of robust algorithms for cardiovascular analyses on consumer-grade smartwatches across diverse populations. |
| title | HEART-Watch: A multimodal physiological dataset from a Google Pixel Watch across different physical states |
| topic | Human-Computer Interaction J.3 |
| url | https://arxiv.org/abs/2512.03988 |