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Movement analysis of the chest compartments and a real-time quality feedback during breathing therapy

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Abstract

Approximately, 21,000 breaths per day and 10.5 million breaths per year are taken by average people. Breathing functions depend on the actions of the respiratory muscles on the chest wall. This study analyzes the motions of the humans’ chest compartments with a portable, low-cost and convenient monitoring system to be used in e-health applications. Two wearable MEMS sensors are used to capture the rib cage (RC) and abdomen (AB) movements, simultaneously. In addition to measuring the phase shift between the chest wall compartments, the impacts of different body positions on AB and RC motions have been investigated on four different respiration patterns with ten subjects. The performance of the presented system is evaluated and the average mean square error of 0.13 is achieved for three time parameters including inspiratory, expiratory, and total time of the respiratory cycle. Moreover, the overall errors of phase shifts for paradoxical and synchronous breath patterns are 0.13° ± 0.12° and 0.21° ± 0.08°, respectively, considering two vernier respiration monitor belts as our references. The system properly indicates a significant increase in the degree of RC and AB asynchrony in the paradoxical breathing compared to normal pattern. To complete our platform, we propose a new “Breathing Therapy” technique as an advanced way to assist people to learn the science of breath and help the patients successfully restore their health in a systematic way. Graphical signs are used to provide feedback on the quality of each breath taken in real-time. The performance of the system is evaluated based on five well-known yogic breathing patterns.

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References

  • Abidoye A, Azeez N, Adesina A, Agbele K, Nyongesa H (2011) Using wearable sensors for remote healthcare monitoring system. J Sens Technol 1(2):22–28

    Article  Google Scholar 

  • Agostoni E, Mognoni P (1966) Deformation of the chest wall during breathing efforts. J Appl Physiol 21(6):1827–1832

    Google Scholar 

  • Aliverti A, Quaranta M, Chakrabarti B (2009) Paradoxical movement of the lower ribcage at rest and during exercise in COPD patients. Eur Respir 33(1):49–60

    Article  Google Scholar 

  • Allen J, Wolfson M, McDowell K, Shaffer T (1990) Thoracoabdominal asynchrony in infants with airflow obstruction. Am Rev Respir Dis 141(2):337–342

    Article  Google Scholar 

  • Al-Mardini M, Aloul F, Sagahyroon A, Al-Husseini L (2014) Classifying obstructive sleep apnea using smartphones. J Biomed Inform 52:251–259

    Article  Google Scholar 

  • Araujo GAL, Freire RCS, Silva JF, Oliveira A, Jaguaribe EF (2004) Breathing flow measurement with constant temperature hot-wire anemometer for forced oscillations technique. In: Proceedings of 21st IEEE instrum. meas. technol. conf., Piscataway, NJ, pp 730–733, May 18–20, 2004

  • Bai YW, Li WT, Chen YW (2010) Design and implementation of an embedded monitor system for detection of a patient’s breath by double webcams. In: Proceedings of 2010 IEEE international workshop on med. meas. appl., Piscataway, NJ, p 6, April 30–May 1, 2010

  • Bates A, Ling MJ, Mann J, Arvind DK (2010) Respiratory rate and flow waveform estimation from tri-axial accelerometer data. Body Sensor Networks (BSN), 2010 International Conference

  • Ben M (2011) New directions in virtual environments and gaming to address obesity and diabetes: Industry perspective. J Diabetes Sci Technol 5(2):277–282

    Article  Google Scholar 

  • Bernardi L, Porta C, Gabutti A, Spicuzza L, Sleight P (2001) Modulatory effects of respiration. Auton Neurosci 90(1–2):47–56

    Article  Google Scholar 

  • Bruton A, Lewith GT (2005) The Buteyko breathing technique for asthma: a review. Complement Ther Med 13:41–46

    Article  Google Scholar 

  • Campbell E (1969) Physical sign of diffuse airways obstruction and lung distension. Thorax 14:1–3

    Article  Google Scholar 

  • Cao Z, Zhu R, Que R (2012) A wireless portable system with micro sensors for monitoring respiratory diseases. IEEE Trans Biomed Eng 59(11):3110–3116

    Article  Google Scholar 

  • Cartwright R (1991) A comparative study of treatment for positional sleep apnea. Sleep 14:456–552

    Google Scholar 

  • Chang K-H, Chen MY, Canny J (2007) Tracking free-weight exercises. In: Proceedings of the 9th international conference on Ubiquitous computing, UbiComp’07, pp 19–37

  • Ciobotariu R, Adochiei F, Rotariu C, Costin H (2011) Wireless breathing system for long term telemonitoring of respiratory activity. Advanced topics in electrical engineering, Proceedings of the 7th international symposium ATEE 2011, pp 635–638

  • Courtney R (2008) Strengths, weaknesses, and possibilities of the Buteyko breathing method. AAPB J 36(2):59–63

    Google Scholar 

  • Courtney R (2009) The functions of breathing and its dysfunctions and their relationship to breathing therapy. Int J Orofacial Myol 12:78–85

  • Courtney R (2011) Dysfunctional breathing: its parameters, measurement and relevance, Ph.D. Thesis School of Health Sciences Science, Engineering and Technology Portfolio RMIT University

  • Dehkordi PK, Marzencki M, Tavakolian K, Kaminska M, Kaminska B (2011) Validation of respiratory signal derived from suprasternal notch acceleration for sleep apnea detection. Engineering in Medicine and Biology Society (EMBC), international conference of the IEEE, pp 3824–3827

  • Dixhoorn J, Duivenvoorde H (1999) Effect of relaxation therapy on cardiac events after myocardial infarction: a 5-year follow up study. J Cardiopulm Rehabil 19(3):178–185

    Article  Google Scholar 

  • Dixhoorn J, Duivenvoorde H et al (1989) Physical training and relaxation therapy in cardiac rehabilitation assessed through a composite criterion for training outcome. Am Heart J 118(3):545–552

    Article  Google Scholar 

  • Eunice Kennedy Shriver (1994) Safe to sleep. National Institute of Child Health and Human Development in collaboration with other organizations. http://www.nichd.nih.gov/sts/Pages/default.aspx

  • Fernandes do Prado L, Li X, Thompson R, Marcus C (2002) Body position and obstructive sleep apnea in children. Sleep 25(1):66–71

    Google Scholar 

  • Heinzer RC, Pellaton C, Rey V et al (2012) Positional therapy for obstructive sleep apnea: an objective measurement of patients’ usage and efficacy at home. Sleep Med 13:425–428

    Article  Google Scholar 

  • Hoover CF (1920) The diagnostic significance of inspiration movement of the costal margins. Am J Med Sci 159:633–645

    Article  Google Scholar 

  • Howlader N, Noone AM, Krapcho M, Garshell J, Neyman N, Altekruse SF, Kosary CL, Yu M, Ruhl J, Tatalovich Z, Cho H, Mariotto A, Lewis DR, Chen HS, Feuer EJ, Cronin KA (eds). SEER cancer statistics review, 1975–2010, National Cancer Institute, Bethesda, MD

  • Janakiramaiah N, Gangadhar BN, Naga Venkatesha Murthy PJ, Harish MG, Subbakrishna DK, Vedamurthachar A (1998) Therapeutic efficacy of Sudarshan Kriya Yoga (SKY) in dysthymic disorder. NIMHANS J 17:21–28

    Google Scholar 

  • Janakiramaiah N, Gangadhar BN, Venkatesha N, Murthy PJ, Harish MG, Subbakrishna DK, Vedamurthachar A (1999) Antidepressant efficacy of Sudarshan Kriya Yoga (SKY) in melaancholia: a randomized compartison with electroconvulsive therapy (ECT) and imipramine. J Affect Disord 57:255–259

  • Janidarmian M, Radecka K, Zilic Z (2014) Automated diagnosis of knee pathology using sensory data. Wireless Mobile Communication and Healthcare (Mobihealth), pp 95–98

  • Janidarmian M, Radecka K, Zilic Z (2014) Automated diagnosis of knee pathology using sensory data. In: 4th international conference on wireless mobile communication and healthcare (Mobihealth), pp 95–98, Greece

  • Janidarmian M, Roshan Fekr A, Radecka K, Zilic Z (2014) Affordable eRehabilitation monitoring platform. IEEE international humanitarian technology conference (IHTC)

  • Johnson DH (1995) Breath, bone and gesture. North Atlantic Books, San Francisco

    Google Scholar 

  • Jokic R, Klimaszewski A, Crossley M, Sridhar G, Fitzpatrick MF (1999) Positional therapy versus continuous positive airway pressure in patients with positional obstructive sleep apnea. Chest 115(3):771–781

    Article  Google Scholar 

  • Khalsa S (2004) Treatment of insommnia with yoga: a preliminary study with sleep-wake diaries. Appl Psychophysiol Biofeedback 29(4):269–278

    Article  Google Scholar 

  • Khoury RM, Camacho-Lobato L, Katz PO, Mohiuddin MA, Castell DO (1999) Influence of spontaneous sleep positions on nighttime recumbent reflux in patients with gastroesophageal reflux disease. Am J Gastroenterol 94:69–73

    Article  Google Scholar 

  • Kiciman N, Andreásson B, Bernstein G, Mannino F, Rich W, Henderson C (1998) Thoracoabdominal motion in newborns during ventilation delivered by endotracheal tube or nasal prongs. Pediatr Pulmonol 25(3):175–181

    Article  Google Scholar 

  • Lee JB, Park YH, Hong JH, Lee SH (2009) Determining optimal sleep position in patients with positional sleep-disordered breathing using response surface analysis. Sleep Res 18:26–35

    Article  Google Scholar 

  • Ley R (1999) The modification of breathing behavior. Pavlovian and operant control in emotion and cognition. Behav Modif 23(3):441–479

    Article  Google Scholar 

  • Lindeman D (2009) Technologies for remote patient monitoring in older adults. Center for Technology and Aging

  • Livingston FR Jr (2014) Sudden infant death syndrome (SIDS). KidsHealth

  • Mahmood I (2008) Speech recognition using dynamic time warping. IEEE international conference on advances in space technologies, pp 74–79

  • Marini JJ, Roussos CS, Tobin MJ, MacIntyre NR, Belman MJ, Moxham J (1988) Weaning from mechanical ventilation. Am Rev Respir Dis 138:1043–1046

    Article  Google Scholar 

  • Marks G et al (2005) Asthma and complementary therapies: a guide for health professionals. National Asthma Council Australia & Australian Department of Health and Ageing, Canberra

    Google Scholar 

  • Mijares SG (2009) The revelation of the breath: a tribute to its wisdom, power and beauty. State University of New York Press, Albany

  • Monro RP, Coumar NR, Dandona P (1992) Yoga therapy for NIDDM; a controlled trial. J Complement Med 6(2):66–68

  • Morillo DS, Ojeda JLR, Foix LFC, Jimenez AL (2010) An accelerometer-based device for sleep apnea screening. IEEE Trans Inf Technol Biomed 14:491–499

    Article  Google Scholar 

  • Muller M (2007) Information Retrieval for Music and Motio, book series Database Management & Information Retrieval, Springer, Berlin, XVI, p 318

  • Murthy KR, Sahaj BK, Silaramaraju P (1983) Effect of pranayama (rechaka, puraka & khumbaka) on bronchial asthma-an open study. Lung India 5:187–191

    Google Scholar 

  • Murthy PJ, Janakiramaiah N, Gangadhar BN, Subbakrishna DK (1998) P300 amplitude & antidepressant response to Sudarshan Kriya Yoga (SKY). J Affect Disord 50:45–48

    Article  Google Scholar 

  • Nagarathna RN (1985) Yoga for bronchial asthma: a controlled study. Br Med J 291:1077–1079

    Article  Google Scholar 

  • Nakajima K, Osa A, Kasaoka S, Nakashima K, Maekawa T, Tamura T, Miike H (1996) Detection of physiological parameters without any physical constraints in bed using sequential image processing. Jpn J Appl Phys 35:269–272

    Article  Google Scholar 

  • National Pressure Ulcer Advisory Panel (NPUAP) (2014) Pressure Ulcer Prevention Points, Washington, DC

  • Nepal K, Biegeleisen E, Ning T (2002) Apnea detection and respiration rate estimation through parametric modeling. Proceedings of the 28th IEEE annual northeast bioengineering conference, Philadelphia, PA

  • Office of Communications and Public Liaison (2014) National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, brain basics: understanding sleep, NIH Publication no. 06-3440-c

  • Parreira V, Vieira D, Myrrha M, Pessoa I, Lage S, Britto R (2012) Optoelectronic plethysmography: a review of the literature. Braz J Phys Ther 16(6):439–453

    Article  Google Scholar 

  • Priori R, Aliverti A, Albuquerque A, Quaranta M, Albert P (2013) The effect of posture on asynchronous chest wall movement in COPD. J Appl Physiol 114(8):1066–1075

    Article  Google Scholar 

  • Que C-L, Kolmaga C, Durand L-G, Kelly SM, Macklem PT (2002) Phonospirometry for noninvasive measurement of ventilation: methodology and preliminary results. J Appl Physiol 93(4):1515–1526

    Article  Google Scholar 

  • Reinvuo T, Hannula M, Sorvoja H, Alasaarela E, Myllyla R (2006) Measurement of respiratory rate with high-resolution accelerometer and EMFit pressure sensor. In: Proceedings of the IEEE sensors applications symposium, Houston, USA, 7–9 February 2006, pp 192–195

  • Roshan Fekr A, Janidarmian M, Sarbishei O, Nahill B, Radecka K, Zilic Z (2012) MSE minimization and fault-tolerant data fusion for multi-sensor systems. In the IEEE 30th international conference on computer design, pp 445–452, Canada

  • Roshan Fekr A, Janidarmian M, Radecka K, Zilic Z (2014) A medical cloud-based platform for respiration rate measurement and hierarchical classification of breath disorders. Sensors 14:11204–11224

  • Roshan Fekr A, Janidarmian M, Radecka K, Zilic Z (2014) Design of an e-Health respiration and body posture monitoring system and its application for rib cage and abdomen synchrony analysis. 2014 IEEE international conference on bioinformatics and bioengineering (BIBE), pp 141–148, Florida

  • Roshan Fekr A, Radecka K, Zilic Z (2014) Tidal volume variability and respiration rate estimation using a wearable accelerometer sensor. 4th IEEE conference on wireless mobile communication and healthcare (Mobihealth), pp 1–6, Rome

  • Roshan Fekr A, Janidarmian M, Radecka K, Zilic Z (2014) Multi-sensor blind recalibration in mhealth applications. IEEE international humanitarian technology conference (IHTC), June 1–4, 2014, Montreal, Canada

  • Sackner M, Gonzalez H, Rodriguez M, Belsito A, Sackner D, Grenvik S (1984) Assessment of asynchronous and paradoxic motion between rib cage and abdomen in normal subjects and in patients with chronic obstructive pulmonary disease. Am Rev Respir Dis 130(4):588–593

    Google Scholar 

  • Shannahoff-Khalsa D, Sramek Kennel MD, Jamieson SW (2004) Hemodynamic observations on a yogic breathing technique claimed to help eliminate and prevent heart attacks: a pilot study. J Altern Complement Med 10(5):757–766

  • Sharp J, Goldberg N, Druz W, Fishman H, Danon J (1977) Thoracoabdominal motion in chronic obstructive pulmonary disease. Am Rev Respir Dis 115(1):47–56

    Google Scholar 

  • Siegel BS (1990) Love, medicine & miracles: lessons learned about self- healing from a surgeon’s experience with exceptional patients. HarperCollins, New York

    Google Scholar 

  • Silva et al (2004) Monitoring respiratory device. International application published under the patent cooperation treaty (PCT), WO 2004/043263 A2

  • Singh V, Wisniewski A, Britton J, Tattersfield A (1990) Effect of yoga breathing exercises (pranayama) on airway reactivity in subjects with asthma. The Lancet 335:1381–1383

    Article  Google Scholar 

  • Spicuzza L, Gabutti A, Porta C, Montano N, Bernardi L (2000) Yoga and chemoreflex response to hypoxia and hypercapnia. The Lancet 356(9240):1495–1496

    Article  Google Scholar 

  • Staats B, Bonekat H, Harris CD, Offord K (1984) Chest wall motion in sleep apnea. Am Rev Respir Dis 130(1):59–63

    Google Scholar 

  • STMicroelectronics group of companies (2010) Tilt measurement using a low-g 3-axis accelerometer. Application note, Canada

    Google Scholar 

  • Tadi MJ, Koivisto T, Pänkäälä M, Paasio A (2014) Accelerometer-based method for extracting respiratory and cardiac gating information for dual gating during nuclear medicine imaging. Int J Biomed Imaging 2014:11

    Google Scholar 

  • Tobin M, Chadha T, Jenouri G, Birch S, Gazeroglu H, Sackner M (1983) Breathing patterns. 1. Normal subjects. Chest 84(2):202–205

    Article  Google Scholar 

  • Van Dixhoorn J (2007) Whole-body breathing: a systems perspective on respiratory retraining. In: Lehrer PM, Woolfolk RL, Sime WE (eds) Principles and practice of stress management. Guilford Press, New York, pp 291–332

  • Vedamurthachar A, Janakiramaiah N, Hegde JM, Shetty TK, Subbakrishna DK, Sureshbabu SV, Gangadhar BN (2006) Antidepressant efficacy and hormonal effects of Sudarshana Kriya Yoga (SKY) in alcohol dependent individuals. J Affect Disord 94(1–3):249–253

    Article  Google Scholar 

  • Vedanthan P, Lakshmyya N, Kesavalu B, Murthy M (1998) Clinical study of yoga techniques in university students with asthma: a control study. Allergy Asthma Proc 19(1):3–9

    Article  Google Scholar 

  • Wallach D, Goffinet B (1989) Mean squared error of prediction as a criterion for evaluating and comparing system models. Ecol Model 44:299–306

    Article  Google Scholar 

  • Wolfson D, Strohl K, DiMarco A, Altose M (1983) Effects of an increase in end-expiratory volume on the pattern of thoracoabdominal movement. Respir Physiol 53:273–283

    Article  Google Scholar 

  • Xu X (2013) Large scale human activity monitoring for diverse subjects, Ph.D. thesis in Electrical Engineering, University of California

  • Yasuma F, Hayano J (2004) Respiratory sinus arrhythmia. Why does heartbeat synchronize with respiratory rhythm. Chest 125(2):683–690

    Article  Google Scholar 

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  1. Department of Electrical and Computer Engineering, McGill University, Montreal, Canada

    Atena Roshan Fekr, Majid Janidarmian, Katarzyna Radecka & Zeljko Zilic

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  1. Atena Roshan Fekr
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  2. Majid Janidarmian
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  4. Zeljko Zilic
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Correspondence to Atena Roshan Fekr.

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Roshan Fekr, A., Janidarmian, M., Radecka, K. et al. Movement analysis of the chest compartments and a real-time quality feedback during breathing therapy. Netw Model Anal Health Inform Bioinforma 4, 21 (2015). https://doi.org/10.1007/s13721-015-0093-2

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