Wearable Device for Yogic Breathing with Real-Time Heart Rate and Posture Monitoring

Anmol Puranik, M. Kanthi, Anupama V. Nayak

DOI: 10.4103/jmss.JMSS_54_20

Abstract


Background: Yogic breathing also called as “Pranayama” is practiced with inhalation (Pooraka), holding the breath for some time (Kumbhaka) and then exhalation (Rechaka). The effective methods of yogic breathing keep oneself healthy and also improves immunity power. The yogic breathing can be practiced irrespective of one’s age and gender and even in the office which helps to reduce the stress. To get the best results through yoga, a person has to follow certain timings and sit in a correct posture. Although many devices are existing in the market to monitor heart rate, posture and breathing during physical activity, there is a need of a device which is simple, cheap, and easy to use without an additional requirement of a smartphone. Moreover, the proposed device is able to evaluate the breathing data by transmitting it to a webpage through a Wi-Fi hotspot of the Microcontroller. Methods: The developed device has two subsystems: (i) A wrist subsystem to measure the heart rate, visual aid of breathing and vibration feedback for kapalabhati. (ii) A waist subsystem to monitor the posture with help of flex sensor and the results are displayed on the display of the wrist device. It also provides vibration feedback. The inertial measurement unit is used for breath detection. The subsystems are communicated through SPI communication. The breathing data are transmitted to a webpage through a Wi-Fi hotspot of the microcontroller. Results: The various yogic breathing and normal breathing exercises are tested on different normal subjects using the developed device and analyzed. The heart rate and beats per minute are evaluated. The heart rate sensor is validated using a standard medical device and it is observed that there was a 97.4% accuracy. Conclusion: The results show that the device is able to accurately monitor different kinds of breathing and additionally provide heart rate and posture information while performing the breathing exercises.


Keywords


Beats per minute, flex sensor, heart rate, Kapalabhati, microcontroller, yogic breathing

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References


Vrijkotte TG, van Doornen LJ, de Geus EJ. Effects of work stress on ambulatory blood pressure, heart rate, and heart rate variability. Hypertension 2000;35:880-6.

Pramanik T, Pudasaini B, Prajapati R. Immediate effect of a slow pace breathing exercise Bhramari pranayama on blood pressure and heart rate. Nepal Med Coll J 2010;12:154-7.

Ma X, Yue ZQ, Gong ZQ, Zhang H, Duan NY, Shi YT, et al. The effect of diaphragmatic breathing on attention, negative affect and stress in healthy adults. Front Psychol 2017;8:874.

Steffen PR, Austin T, De Barros A, Brown T. The impact of resonance frequency breathing on measures of heart rate variability, blood pressure, and mood. Front Public Health 2017;5:222.

Bhagat OL, Kharya C, Jaryal A, Deepak KK. Acute effects on cardiovascular oscillations during controlled slow yogic breathing. Indian J Med Res 2017;145:503-12.

Berntson GG, Bigger JT Jr., Eckberg DL, Grossman P, Kaufmann PG, Malik M, et al. Heart rate variability: Origins, methods, and interpretive caveats. Psychophysiology 1997;34:623-48.

Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J 1996;17:354-81.

Acharya UR, Joseph KP, Kannathal N, Min LC, Suri JS. Heart rate variability. In: Acharya UR, Suri JS, editors. Advances in Cardiac Signal Processing. New York: Springer; 2007.

Bernardi L, Wdowczyk-Szulc J, Valenti C, Castoldi S, Passino C, Spadacini G, et al. Effects of controlled breathing, mental activity and mental stress with or without verbalization on heart rate variability. J Am Coll Cardiol 2000;35:1462-9.

Beda A, Simpson DM, Carvalho NC, Carvalho AR. Low-frequency heart rate variability is related to the breath-to-breath variability in the respiratory pattern. Psychophysiology 2014;51:197.

Vaschillo E, Lehrer P, Rishe N, Konstantinov M. Heart rate variability biofeedback as a method for assessing baroreflex function: A preliminary study of resonance in the cardiovascular system. Appl Psychophysiol Biofeedback 2002;27:1-27.

Lehrer PM, Woolfolk RL, Sime WE. Principles and Practice of Stress Management. New York: Guilford Press; 2007.

Tyagi A, Cohen M. Yoga and heart rate variability: A comprehensive review of the literature. Int J Yoga 2016;9:97-113.

Sanderson JE, Yeung LY, Yeung DT, Kay RL, Tomlinson B, Critchley JA, et al. Impact of changes in respiratory frequency and posture on power spectral analysis of heart rate and systolic blood pressure variability in normal subjects and patients with heart failure. Clin Sci (Lond) 1996;91:35-43.

Lin F, Parthasarathy S, Taylor SJ, Pucci D, Hendrix RW, Makhsous M. Effect of different sitting postures on lung capacity, expiratory flow, and lumbar lordosis. Arch Phys Med Rehabil 2006;87:504-9.

Hu F, Wang L, Wang S, Liu X, He G. A human body posture recognition algorithm based on BP neural network for wireless body area networks. China Commun 2016;13:198-208.

Attal F, Mohammed S, Dedabrishvili M, Chamroukhi F, Oukhellou L, Amirat Y. Physical human activity recognition using wearable sensors. Sensors (Basel) 2015;15:31314-38.

Yang CC, Hsu YL. A review of accelerometry-based wearable motion detectors for physical activity monitoring. Sensors (Basel) 2010;10:7772-88.

Available from: http://prana https://proteinx.in/premium-brands/wearables-prana-breathing-posture-trackersndia/. [Last accessed on 2020 May 27].

Available from: https://play.google.com/store/apps/details?id=io.spire.android&hl=en&gl=US. [Last accessed on 2021 Mar 29].

Available from: https://www.zensorium.com/about.html.

Hart J. Normal resting pulse rate ranges. J Nurs Educ Pract 2015;5:95.

Prawiro EA, Chou N, Lee M, Lin Y. A wearable system that detects posture and heart rate: designing an integrated device with multi parameter measurements for better health care. IEEE Consum Electron Mag 2019;8:78-83.

Prawiro EA, Yeh CI, Chou NK, Lee MW, Lin YH. Integrated wearable system for monitoring heart rate and step during physical activity. Mobile Inform Syst 2016;2:1-10.

Puranik KA, Kanthi M. Wearable Device for Yogic Breathing, 2019 Amity International Conference on Artificial Intelligence (AICAI), Dubai, United Arab Emirates; 2019. p. 605-10.

Karantonis DM, Narayanan MR, Mathie M, Lovell NH, Celler BG. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Trans Inf Technol Biomed 2006;10:156-67.

Yang CC, Hsu YL. Development of a wearable motion detector for tele monitoring and real-time identification of physical activity. Telemed J E Health 2009;15:62-72.

Sekine M, Tamura T, Togawa T, Fukui Y. Classification of waist-acceleration signals in a continuous walking record. Med Eng Phys 2000;22:285-91.

Chapman RM, Torchia MT, Bell JE, Van Citters DW. Assessing Shoulder Biomechanics of Healthy Elderly Individuals During Activities of Daily Living Using Inertial Measurement Units: High Maximum Elevation Is Achievable but Rarely Used. Journal of Biomechanical Engineering 2019;141:0410011-0410017.


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