Skip to main content
SpringerLink
Log in

Pulmonary Monitoring Using Smartphones

  • Chapter
  • First Online:
Mobile Health

Abstract

Pulmonary assessment is widely employed by medical professionals and has become an important marker of health. It is used for screening, diagnostics, and management of chronic pulmonary diseases like asthma, chronic bronchitis, and chronic obstructive pulmonary disease. However, pulmonary assessment has mostly been restricted to self-report and routine monitoring at a physician’s office. Smartphones have disrupted this practice, enabling daily collection of self-reported symptoms and airway testing from a patient’s home. This chapter outlines how various markers of pulmonary health are collected from mobile phones. In particular, discussing the importance of disease specific monitoring and highlighting research studies that employ mobile phones for pulmonary data collection.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Chronic disease prevention and health promotion. http://www.cdc.gov/chronicdisease/overview/index.htm (2014)

  2. Baggott, C., Gibson, F., Coll, B., Kletter, R., Zeltzer, P., Miaskowski, C.: Initial evaluation of an electronic symptom diary for adolescents with cancer. JMIR research protocols 1(2) (2012)

    Google Scholar 

  3. Barry, S.J., Dane, A.D., Morice, A.H., Walmsley, A.D.: The automatic recognition and counting of cough. Cough 2(1), 8 (2006)

    Article  Google Scholar 

  4. Bickerman, H.A., Itkin, S.E.: The effect of a new bronchodilator aerosol on the air flow dynamics of the maximal voluntary cough of patients with bronchial asthma and pulmonary emphysema. Journal of chronic diseases 8(5), 629–636 (1958)

    Article  Google Scholar 

  5. Birring, S., Fleming, T., Matos, S., Raj, A., Evans, D., Pavord, I.: The leicester cough monitor: preliminary validation of an automated cough detection system in chronic cough. European Respiratory Journal 31(5), 1013–1018 (2008)

    Article  Google Scholar 

  6. Brimer, A., Cohen, A., Eliason, B., Neyman, O.: Spirometer system and methods of data analysis (2013). US Patent App. 13/900,253

    Google Scholar 

  7. Carspecken, C.W., Arteta, C., Clifford, G.D.: Telespiro: A low-cost mobile spirometer for resource-limited settings. In: Point-of-Care Healthcare Technologies (PHT), 2013 IEEE, pp. 144–147. IEEE (2013)

    Google Scholar 

  8. Chan, Y.F.Y., Schadt, E., Dudley, J., Rogers, L.: Asthma mobile health study. Mount Sinai (2015). URL http://apps.icahn.mssm.edu/asthma/

  9. Choe, E.K., Lee, B., Kay, M., Pratt, W., Kientz, J.A.: Sleeptight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 121–132. ACM (2015)

    Google Scholar 

  10. Coyle, M.A., Keenan, D.B., Henderson, L.S., Watkins, M.L., Haumann, B.K., Mayleben, D.W., Wilson, M.G.: Evaluation of an ambulatory system for the quantification of cough frequency in patients with chronic obstructive pulmonary disease. Cough 1(1), 3 (2005)

    Article  Google Scholar 

  11. Decalmer, S.C., Webster, D., Kelsall, A.A., McGuinness, K., Woodcock, A.A., Smith, J.A.: Chronic cough: how do cough reflex sensitivity and subjective assessments correlate with objective cough counts during ambulatory monitoring? Thorax 62(4), 329–334 (2007)

    Article  Google Scholar 

  12. Drugman, T., Urbain, J., Bauwens, N., Chessini, R., Valderrama, C., Lebecque, P., Dutoit, T.: Objective study of sensor relevance for automatic cough detection. Biomedical and Health Informatics, IEEE Journal of 17(3), 699–707 (2013)

    Article  Google Scholar 

  13. Eisner, M.D., Anthonisen, N., Coultas, D., Kuenzli, N., Perez-Padilla, R., Postma, D., Romieu, I., Silverman, E.K., Balmes, J.R.: An official american thoracic society public policy statement: Novel risk factors and the global burden of chronic obstructive pulmonary disease. American journal of respiratory and critical care medicine 182(5), 693–718 (2010)

    Article  Google Scholar 

  14. Globe, G., Martin, M., Schatz, M., Wiklund, I., Lin, J., von Maltzahn, R., Mattera, M.S.: Symptoms and markers of symptom severity in asthma content validity of the asthma symptom diary. Health and quality of life outcomes 13(1), 21 (2015)

    Article  Google Scholar 

  15. Goel, M., Saba, E., Stiber, M., Whitmire, E., Fromm, J., Larson, E.C., Borriello, G., Patel, S.N.: Spirocall: Measuring lung function over a phone call. In: International Conference on Human Factors in Computing Systems, CHI’16. ACM (2016)

    Google Scholar 

  16. Goss, C., Edwards, T., Ramsey, B., Aitken, M., Patrick, D.: Patient-reported respiratory symptoms in cystic fibrosis. Journal of Cystic Fibrosis 8(4), 245–252 (2009)

    Article  Google Scholar 

  17. Gross, V., Urban, C., Weissflog, A., Koehler, U., Scholtes, M., Sohrabi, K., Kerzel, S.: Evaluation of the leosound-monitor®; for standardized detection of wheezing and chough in childhood. European Respiratory Journal 46(suppl 59), PA4157 (2015)

    Google Scholar 

  18. Gupta, S., Chang, P., Anyigbo, N., Sabharwal, A.: mobilespiro: accurate mobile spirometry for self-management of asthma. In: Proceedings of the First ACM Workshop on Mobile Systems, Applications, and Services for Healthcare, p. 1. ACM (2011)

    Google Scholar 

  19. Hailey, D., Ohinmaa, A., Roine, R.: Study quality and evidence of benefit in recent assessments of telemedicine. Journal of Telemedicine and Telecare 10(6), 318–324 (2004)

    Article  Google Scholar 

  20. Heimerl, K., Menon, A., Hasan, S., Ali, K., Brewer, E., Parikh, T.: Analysis of smartphone adoption and usage in a rural community cellular network. In: Proceedings of the Seventh International Conference on Information and Communication Technologies and Development, p. 40. ACM (2015)

    Google Scholar 

  21. Hiroshi Sato Masayuki Ohara, K.W., Sato, H.: Application of the vortex whistle to the spirometer. Transactions of the Society of Instrument and Control Engineers 35(7), 840–845 (1999)

    Google Scholar 

  22. Hoekstra, J., Bindels, P.J., van Duijn, N.P., Schadé, E.: The symptom monitor: A diary for monitoring physical symptoms for cancer patients in palliative care: feasibility, reliability and compliance. Journal of pain and symptom management 27(1), 24–35 (2004)

    Article  Google Scholar 

  23. Hsu, J., Stone, R., Logan-Sinclair, R., Worsdell, M., Busst, C., Chung, K.: Coughing frequency in patients with persistent cough: assessment using a 24 hour ambulatory recorder. European Respiratory Journal 7(7), 1246–1253 (1994)

    Article  Google Scholar 

  24. Ireland, A.M., Wiklund, I., Hsieh, R., Dale, P., O’Rourke, E.: An electronic diary is shown to be more reliable than a paper diary: results from a randomized crossover study in patients with persistent asthma. Journal of Asthma 49(9), 952–960 (2012)

    Article  Google Scholar 

  25. Juniper, E.F., O’Byrne, P.M., Ferrie, P.J., King, D.R., Roberts, J.N.: Measuring asthma control: clinic questionnaire or daily diary? American journal of respiratory and critical care medicine 162(4), 1330–1334 (2000)

    Article  Google Scholar 

  26. Kaiser, S.: Open spirometry: Portable, low-cost spirometry utilizing 3d-printed vortex whistles and smartphones. Master’s thesis, Southern Methodist University (2016)

    Google Scholar 

  27. Kerem, E., Wilschanski, M., Miller, N.L., Pugatsch, T., Cohen, T., Blau, H., Rivlin, J., Shoseyov, D., Reha, A., Constantine, S., et al.: Ambulatory quantitative waking and sleeping cough assessment in patients with cystic fibrosis. Journal of Cystic Fibrosis 10(3), 193–200 (2011)

    Article  Google Scholar 

  28. Kessler, R., Ståhl, E., Vogelmeier, C., Haughney, J., Trudeau, E., Löfdahl, C.G., Partridge, M.R.: Patient understanding, detection, and experience of copd exacerbations: an observational, interview-based study. CHEST Journal 130(1), 133–142 (2006)

    Article  Google Scholar 

  29. Kraman, S.S., Wodicka, G.R., Pressler, G.A., Pasterkamp, H.: Comparison of lung sound transducers using a bioacoustic transducer testing system. Journal of Applied Physiology 101(2), 469–476 (2006)

    Article  Google Scholar 

  30. Kulich, K., Keininger, D.L., Tiplady, B., Banerji, D.: symptoms and impact of copd assessed by an electronic diary in patients with moderate-to-severe copd: psychometric results from the shine study. International journal of chronic obstructive pulmonary disease 10, 79 (2015)

    Google Scholar 

  31. Kung, H.C., Hoyert, D.L., Xu, J., Murphy, S.L., et al.: Deaths: final data for 2005. National Vital Statistics Report 56(10), 1–120 (2008)

    Google Scholar 

  32. Lane, N.D., Georgiev, P., Qendro, L.: Deepear: robust smartphone audio sensing in unconstrained acoustic environments using deep learning. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 283–294. ACM (2015)

    Google Scholar 

  33. Larson, E.C., Goel, M., Boriello, G., Heltshe, S., Rosenfeld, M., Patel, S.N.: Spirosmart: using a microphone to measure lung function on a mobile phone. In: Proceedings of the 2012 ACM Conference on Ubiquitous Computing, pp. 280–289. ACM (2012)

    Google Scholar 

  34. Larson, E.C., Lee, T., Liu, S., Rosenfeld, M., Patel, S.N.: Accurate and privacy preserving cough sensing using a low-cost microphone. In: Proceedings of the 13th international conference on Ubiquitous computing, pp. 375–384. ACM (2011)

    Google Scholar 

  35. Leidy, N., Sexton, C., Jones, P., Notte, S., Monz, B., Nelsen, L., Goldman, M., Murray, L., Sethi, S.: Measuring respiratory symptoms in clinical trials of copd: reliability and validity of a daily diary. Thorax pp. thoraxjnl–2013 (2014)

    Google Scholar 

  36. Levy, M., Godfrey, S., Irving, C., Sheikh, A., Hanekom, W., Nurses, A.C., Bush, A., Lachman, P.: Wheeze detection: recordings vs. assessment of physician and parent. Journal of asthma 41(8), 845–853 (2004)

    Google Scholar 

  37. Lung, N.H., Institute, B., of health, N.I., et al.: Guidelines for the diagnosis and management of asthma: update on selected topics 2002. NIH publication pp. 02–5075 (2002)

    Google Scholar 

  38. Matos, S., Birring, S.S., Pavord, I.D., Evans, D.H.: Detection of cough signals in continuous audio recordings using hidden markov models. Biomedical Engineering, IEEE Transactions on 53(6), 1078–1083 (2006)

    Article  Google Scholar 

  39. McGuinness, K., Kelsall, A., Lowe, J., Woodcock, A., Smith, J.: Automated cough detection: a novel approach. Am J Resp Crit Care Med 175, A381 (2007)

    Google Scholar 

  40. Miller, M.R., Hankinson, J., Brusasco, V., Burgos, F., Casaburi, R., Coates, A., Crapo, R., Enright, P., van der Grinten, C.P.M., Gustafsson, P., Jensen, R., Johnson, D.C., MacIntyre, N., McKay, R., Navajas, D., Pedersen, O.F., Pellegrino, R., Viegi, G., Wanger, J.: Standardisation of spirometry. The European Respiratory Journal 26(2) (2005). DOI 10.1183/09031936.05.00034805

    Google Scholar 

  41. Miravitlles, M., Murio, C., Guerrero, T., Gisbert, R.: Pharmacoeconomic evaluation of acute exacerbations of chronic bronchitis and copd. CHEST Journal 121(5), 1449–1455 (2002)

    Article  Google Scholar 

  42. Morice, A., Fontana, G.: ERS Guidelines on the Assessment of Cough. European Respiratory Journal (2007). URL http://erj.ersjournals.com/content/29/6/1256.short

  43. Murray, C.J., Lopez, A.D.: Alternative projections of mortality and disability by cause 1990–2020: Global burden of disease study. The Lancet 349(9064), 1498–1504 (1997)

    Article  Google Scholar 

  44. Nathan, R.A., Sorkness, C.A., Kosinski, M., Schatz, M., Li, J.T., Marcus, P., Murray, J.J., Pendergraft, T.B.: Development of the asthma control test: a survey for assessing asthma control. Journal of Allergy and Clinical Immunology 113(1), 59–65 (2004)

    Article  Google Scholar 

  45. Newcombe, P.A., Sheffield, J.K., Juniper, E.F., Petsky, H.L., Willis, C., Chang, A.B.: Validation of a parent-proxy quality of life questionnaire for paediatric chronic cough (pc-qol). Thorax 65(9), 819–823 (2010)

    Article  Google Scholar 

  46. Nikkila, S., Patel, G., Sundaram, H., Kelliher, A., Sabharwal, A.: Wind runners: designing a game to encourage medical adherence for children with asthma. In: CHI’12 Extended Abstracts on Human Factors in Computing Systems, pp. 2411–2416. ACM (2012)

    Google Scholar 

  47. Okupa, A.Y., Sorkness, C.A., Mauger, D.T., Jackson, D.J., Lemanske, R.F.: Daily diaries vs retrospective questionnaires to assess asthma control and therapeutic responses in asthma clinical trials: is participant burden worth the effort? CHEST Journal 143(4), 993–999 (2013)

    Article  Google Scholar 

  48. Ostojic, V., Cvoriscec, B., Ostojic, S.B., Reznikoff, D., Stipic-Markovic, A., Tudjman, Z.: Improving asthma control through telemedicine: a study of short-message service. Telemedicine Journal & e-Health 11(1), 28–35 (2005)

    Article  Google Scholar 

  49. Park, L.G., Dracup, K., Whooley, M.A., Moser, D.K., Pelter, M.M., Biddle, M., Clark, R.A., Howie-Esquivel, J.: Characteristics associated with symptom diary use in patients with heart failure. Circulation 132(Suppl 3), A17,560–A17,560 (2015)

    Google Scholar 

  50. Park, L.G., Dracup, K., Whooley, M.A., Pelter, M.M., Moser, D.K., Biddle, M., Clark, R.A., Howie-Esquivel, J.: Symptom diary use improves outcomes for heart failure patients. Circulation 132(Suppl 3), A15,892–A15,892 (2015)

    Google Scholar 

  51. Pasterkamp, H., Wiebicke, W., Fenton, R.: Subjective assessment vs computer analysis of wheezing in asthma. CHEST Journal 91(3), 376–381 (1987)

    Article  Google Scholar 

  52. Prabhakaran, L., Chee, W.Y., Chua, K.C., Abisheganaden, J., Wong, W.M.: The use of text messaging to improve asthma control: a pilot study using the mobile phone short messaging service (sms). Journal of telemedicine and telecare 16(5), 286–290 (2010)

    Article  Google Scholar 

  53. Raj, A.A., Birring, S.S.: Clinical assessment of chronic cough severity. Pulmonary pharmacology & therapeutics 20(4), 334–337 (2007)

    Article  Google Scholar 

  54. Regan, E.A., Lynch, D.A., Curran-Everett, D., Curtis, J.L., Austin, J.H., Grenier, P.A., Kauczor, H.U., Bailey, W.C., DeMeo, D.L., Casaburi, R.H., et al.: Clinical and radiologic disease in smokers with normal spirometry. JAMA internal medicine 175(9), 1539–1549 (2015)

    Article  Google Scholar 

  55. Rhee, H., Belyea, M.J., Sterling, M., Bocko, M.F.: Evaluating the validity of an automated device for asthma monitoring for adolescents: Correlational design. Journal of medical Internet research 17(10) (2015)

    Google Scholar 

  56. Rhee, H., Miner, S., Sterling, M., Halterman, J.S., Fairbanks, E.: The development of an automated device for asthma monitoring for adolescents: Methodologic approach and user acceptability. JMIR mHealth and uHealth 2(2) (2014)

    Google Scholar 

  57. Rosenzweig, J.R.C., Edwards, L., Lincourt, W., Dorinsky, P., ZuWallack, R.L.: The relationship between health-related quality of life, lung function and daily symptoms in patients with persistent asthma. Respiratory medicine 98(12), 1157–1165 (2004)

    Article  Google Scholar 

  58. Ryan, D., Cobern, W., Wheeler, J., Price, D., Tarassenko, L.: Mobile phone technology in the management of asthma. Journal of telemedicine and telecare 11(suppl 1), 43–46 (2005)

    Article  Google Scholar 

  59. Sakka, E.J., Aggelidis, P., Psimarnou, M.: Mobispiro: A novel spirometer. In: XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010, pp. 498–501. Springer (2010)

    Google Scholar 

  60. Sanders, D.B., Hoffman, L.R., Emerson, J., Gibson, R.L., Rosenfeld, M., Redding, G.J., Goss, C.H.: Return of fev1 after pulmonary exacerbation in children with cystic fibrosis. Pediatric pulmonology 45(2), 127–134 (2010)

    Article  Google Scholar 

  61. Santanello, N.C.: Pediatric asthma assessment: validation of 2 symptom diaries. Journal of allergy and clinical immunology 107(5), S465–S472 (2001)

    Article  Google Scholar 

  62. Seemungal, T.A., Donaldson, G.C., Bhowmik, A., Jeffries, D.J., Wedzicha, J.A.: Time course and recovery of exacerbations in patients with chronic obstructive pulmonary disease. American journal of respiratory and critical care medicine 161(5), 1608–1613 (2000)

    Article  Google Scholar 

  63. Sevick, M.A., Trauth, J.M., Ling, B.S., Anderson, R.T., Piatt, G.A., Kilbourne, A.M., Goodman, R.M.: Patients with complex chronic diseases: perspectives on supporting self-management. Journal of general internal medicine 22(3), 438–444 (2007)

    Article  Google Scholar 

  64. Smith, J., Woodcock, A.: New developments in the objective assessment of cough. Lung 186(1), 48–54 (2008)

    Article  Google Scholar 

  65. Sowman, G., Wheatley, A., Miller, J., Scrimgeour, A., Trease, B., Snowise, N.: Quality of home spirometry data in asthmatic patients. European Respiratory Journal 42(Suppl 57), P1257 (2013)

    Google Scholar 

  66. Spencer, S., Jones, P.W.: Time course of recovery of health status following an infective exacerbation of chronic bronchitis. Thorax 58(7), 589–593 (2003)

    Article  Google Scholar 

  67. Springer, C., Godfrey, S., Picard, E., Uwyyed, K., Rotschild, M., Hananya, S., Novisji, N., Avital, A.: Efficacy and safety of methacholine bronchial challenge performed by auscultation in young asthmatic children. American journal of respiratory and critical care medicine 162(3), 857–860 (2000)

    Article  Google Scholar 

  68. Stinson, J.N., Jibb, L.A., Nguyen, C., Nathan, P.C., Maloney, A.M., Dupuis, L.L., Gerstle, J.T., Alman, B., Hopyan, S., Strahlendorf, C., et al.: Development and testing of a multidimensional iphone pain assessment application for adolescents with cancer. Journal of medical Internet research 15(3) (2013)

    Google Scholar 

  69. Strober, B., Zhao, Y., Tran, M.H., Gnanasakthy, A., Nelson, L.M., McLeod, L.D., Mordin, M., Gottlieb, A., Elewski, B., Lebwohl, M.: Psychometric evaluation of the psoriasis symptom diary using phase 3 trial data. Value in Health 3(17), A288 (2014)

    Article  Google Scholar 

  70. Taplidou, S.A., Hadjileontiadis, L.J.: Wheeze detection based on time-frequency analysis of breath sounds. Computers in biology and medicine 37(8), 1073–1083 (2007)

    Article  Google Scholar 

  71. Vizel, E., Yigla, M., Goryachev, Y., Dekel, E., Felis, V., Levi, H., Kroin, I., Godfrey, S., Gavriely, N.: Validation of an ambulatory cough detection and counting application using voluntary cough under different conditions. Cough 6(1), 3 (2010)

    Article  Google Scholar 

  72. Vonnegut, B.: A vortex whistle. The Journal of the Acoustical Society of America 26(1), 18–20 (1954)

    Article  Google Scholar 

  73. Walters, J.A., WOOD-BAKER, R., Walls, J., Johns, D.P.: Stability of the easyone ultrasonic spirometer for use in general practice. Respirology 11(3), 306–310 (2006)

    Article  Google Scholar 

  74. Yach, D., Hawkes, C., Gould, C.L., Hofman, K.J.: The global burden of chronic diseases: overcoming impediments to prevention and control. Journal of the American Medical Association 291(21), 2616–2622 (2004)

    Article  Google Scholar 

  75. Yun, T.J., Arriaga, R.I.: A text message a day keeps the pulmonologist away. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1769–1778. ACM (2013)

    Google Scholar 

  76. Yun, T.J., Jeong, H.Y., Hill, T.D., Lesnick, B., Brown, R., Abowd, G.D., Arriaga, R.I.: Using sms to provide continuous assessment and improve health outcomes for children with asthma. In: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, pp. 621–630. ACM (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Southern Methodist University, Dallas, TX, USA

    Eric C. Larson & Spencer Kaiser

  2. University of Washington, Seattle, WA, USA

    Elliot Saba & Shwetak N. Patel

  3. Carnegie Mellon University, Pittsburgh, PA, USA

    Mayank Goel

Authors
  1. Eric C. Larson
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Elliot Saba
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Spencer Kaiser
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mayank Goel
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Shwetak N. Patel
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Eric C. Larson .

Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, Atlanta, Georgia, USA

    James M. Rehg

  2. Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA

    Susan A. Murphy

  3. Department of Computer Science, University of Memphis, Memphis, Tennessee, USA

    Santosh Kumar

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Larson, E.C., Saba, E., Kaiser, S., Goel, M., Patel, S.N. (2017). Pulmonary Monitoring Using Smartphones. In: Rehg, J., Murphy, S., Kumar, S. (eds) Mobile Health. Springer, Cham. https://doi.org/10.1007/978-3-319-51394-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-51394-2_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51393-5

  • Online ISBN: 978-3-319-51394-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation