A review of heart rate measurements for smartwatches
DOI:
https://doi.org/10.54097/hset.v38i.5869Keywords:
heart rate, SmartWatch, Heart Rate, heart diseaseAbstract
Heart rate is one of the most important physiological data of basic signs in human activities. By daily monitoring of heart rate data, it is helpful to know the running condition and state of the body in time. For some people with heart disease, timely heart rate monitoring can help to launch a daily warning. With the development of information technology, smart health wearable products represented by smart watches are widely popular, and heart rate detection function has been added to the products. This paper introduces the principle of heart rate detection, studies and discusses two detection schemes for the heart rate detection function on smartwatches, and compares the two schemes to obtain the advantages and disadvantages of the existing heart rate detection schemes, so as to provide people with a better choice of smartwatches.
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Nielsen J B, Leppin A, Gyrd-Hansen D E, Jarbøl D E, Søndergaard J, Larsen P V. Barriers to lifestyle changes for prevention of cardiovascular disease - a survey among 40-60-year old Danes. BMC cardiovascular disorders. 2017 Sep; 17(1): 1-8.
Xu P P, Liu H M, Jiang Y, Wang N. An intelligent bracelet designed to detect the patient's physical condition. Electronic Testing. 2022; (14).
Meng J D, Feng C. Development and application of smart wearable technology. Modern Silk Science and Technology. 2021; (02).
Zheng A Y, Wang J, Zhou R. An intelligent blind rod system based on single chip microcomputer. Journal of Anhui Electrical Engineering College. 2021; (04).
Smart wearables search trends. China Science and Technology Information. 2021; (10).
Liu C, Liu F, Zhang L, Su Y, Murray A. Smart Wearables in Healthcare: Signal Processing, Device Development, and Clinical Applications. Journal of Healthcare Engineering. 2018 Oct; 2018.
Berkaya S K, Uysal A K, Gunal E S, Ergin S, Gunal S, Gulmezoglu M B. A survey on ECG analysis. Biomedical Signal Processing and Control. 2018 May; 43: 216-235.
Rankawat S A, Dubey R. Robust heart rate estimation from multimodal physiological signals using beat signal quality index based majority voting fusion method. Biomedical Signal Processing and Control. 2017 Mar; 33: 201-212.
Wearable Technology at Work, for Health and Safety. European Editors. 2014 Sep. https://www.digikey.cn/zh/articles/wearable-technology-at-work-for-health-and-safety.
Sadr N, Huvanandana J, Nguyen D T, Kalra C, McEwan A, de Chazal P. Reducing false arrhythmia alarms in the ICU using multimodal signals and robust QRS detection. Physiological Measurement. 2016 Aug; 37(8): 1340-54. doi: 10.1088/0967-3334/37/8/1340.
Meurer F, Neubert M, Werner N. Nonlinear state estimation for the Czochralski process based on the weighing signal using an extended Kalman filter. Journal of Crystal Growth. 2015 Jun; 419: 57-63.
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