Abstract
We present a system designed for assisting people in obtaining healthier lifestyle. The system includes a monitoring device worn on the chest and a web portal that visualizes the measured parameters and provides the user motivating tips for healthier lifestyles. The monitored parameters include heart rate, step count, calorie consumption, activity level, heart rate variability and sleep quality. A unique feature of the system is that the communication from the wearable unit to the backend server is arranged via direct mobile network connection, thus avoiding the need for a separate gateway device. The measured data can be viewed with a web browser user interface. We evaluated the beat-to-beat heart rate estimation performance with ten subjects in a controlled exercise protocol and with three subjects in 24-h free-living conditions. The average mean absolute error of the R-R interval estimation was 8.0 ms and 6.4 ms in the two test scenarios, respectively and the corresponding coverages of the obtained R-R intervals 76% and 94%.
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References
Ramahi T M: Cardiovascular disease in the Asia Middle East region: global trends and local implications, Asia Pacific Journal of Public Health 22, 83S–89S (2010).
Vehkaoja A et al: System for ECG and heart rate monitoring during group training, Proc. 30th Annu Int Conf IEEE Eng Med and Biol Soc, pp. 4832–35, Vancouver, Canada (2008).
Paalasmaa J et al: Unobtrusive online monitoring of sleep at home, Proc. 34th Annu Int Conf IEEE Eng Med and Biol Soc, pp. 3784–88, San Diego, USA (2012).
Hassannejad H et al: Automatic diet monitoring: a review of computer vision and wearable sensor-based methods, Int. J Food Sci and Nutr, 68(6), 656–670 (2017).
Keytel L R et al: Prediction of energy expenditure from heart rate monitoring during submaximal exercise, J Sports Sci, 23(3), 289–297 (2005).
Cole R J et al: Automatic sleep/wake identification from wrist activity, Sleep, 15(5), 461–469 (1992).
Mahdiani S et al: Is 50 Hz high enough ECG sampling frequency for accurate HRV analysis?, Proc. 37th Annu Int Conf IEEE Eng Med Biol Soc, pp. 5948–51, Milan, Italy (2015).
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JR and TR are employees of Health Care Success Ltd, producer of Tango™ system.
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Vehkaoja, A., Verho, J., Peltokangas, M., Rantaniva, T., Jeyhani, V., Råglund, J. (2019). TangoTM Wellness Motivator for Supporting Permanent Lifestyle Change. In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/3. Springer, Singapore. https://doi.org/10.1007/978-981-10-9023-3_33
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DOI: https://doi.org/10.1007/978-981-10-9023-3_33
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