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SpiroSmart is presented as a low-cost mobile-phone application that performs spirometry sensing through the device’s built-in microphone. Evaluation on 52 subjects shows a mean 5.1% error versus a clinical spirometer for common lung-function measures, and pulmonologists can use it to assess degrees of obstructive lung disease.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/spirosmart-using-a-microphone-to-measure-lung-function-on-a-mobile-phone-399916/399916/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/spirosmart-using-a-microphone-to-measure-lung-function-on-a-mobile-phone-399916/399916.png","ImageObject",300,407,{"name":92,"@type":93},"A glass of water","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-27",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What problem does SpiroSmart address in home spirometry?","Question",{"text":113,"@type":114},"SpiroSmart targets barriers to widespread home spirometry such as cost and usability, while also aiming to provide an integrated way to produce results using a mobile device’s built-in microphone.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How does SpiroSmart estimate lung airflow from the phone microphone recording?",{"text":118,"@type":114},"It records exhalation audio and calculates exhaled flow rate by estimating user vocal-tract and sound reverberation effects, using envelope analysis in the time domain, resonance tracking in the frequency domain, and white-noise gain through linear prediction.",{"name":120,"@type":111,"acceptedAnswer":121},"What accuracy did the evaluation report compared with a clinical spirometer?",{"text":122,"@type":114},"In a study of 52 subjects, SpiroSmart achieved a mean error of 5.1% relative to a clinical spirometer for common measures of lung function.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},399916,1790764978,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":52,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},962090760832,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","SpiroSmart: Using a Microphone to Measure Lung Function on a Mobile Phone  \nEric C. Larson1†, Mayank Goel2†, Gaetano Boriello2, Sonya Heltshe3, Margaret Rosenfeld3, Shwetak N. Patel 1,2  \n1Electrical Engineering, 2Computer Science & Engineering,  \nDUB Institute, University of Washington Seattle, WA 98195  \n{eclarson, mayankg, gaetano, [shwetak }@uw.edu](shwetak }@uw.edu)  \n3Seattle Children’s Hospital  \nCenter for Clinical and Translational Research 4800 Sand Point WayNE Seattle, WA 98105  \n{sonya.heltshe, [margaret.rosenfeld}@seattlechildrens.org](margaret.rosenfeld}@seattlechildrens.org)  \nABSTRACT  \nHome spirometry is gaining acceptance in the medical community because of its ability to detect pulmonary exacerbations and improve outcomes of chronic lung ailments. However, cost and usability are significant barriers to its widespread adoption. To this end, we present SpiroSmart, a low-cost mobile phone application that performs spirometry sensing using the built-in microphone. We evaluate SpiroSmart on 52 subjects, showing that the mean error when compared to a clinical spirometer is 5.1% for common measures of lung function. Finally, we show that pulmonologists can use SpiroSmart to diagnose varying degrees of obstructive lung ailments.  \nAuthor Keywords  \nHealth sensing, spirometry, mobile phones, signal processing, machine learning.  \nACM Classification Keywords  \nH5.m. Information interfaces and presentation (e.g., HCI): Miscellaneous.  \nINTRODUCTION  \nSpirometry is the most widely employed objective measure of lung function [37] and is central to the diagnosis and management of chronic lung diseases, such as asthma, chronic obstructive pulmonary disease (COPD), and cystic fibrosis. During a spirometry test, a patient forcefully exhales through a flow-monitoring device (a tube or mouthpiece), which measures instantaneous flow and cumulative exhaled volume (Figure 1) . Spirometry is generally performed in medical offices and clinics using conventional spirometers, but home spirometry with portable devices is slowly gaining acceptance [6,26] . Measurement of spirometry at home allows patients and physicians to more regularly monitor for trends and detect changes in lung function that may need evaluation and/or treatment. Home spirometry has the potential to result in earlier treatment of exacer  \nPermission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.  \nUbiComp ’ 12, Sep 5 – Sep 8, 2012, Pittsburgh, USA. Copyright 2012 ACM 978-1-4503-1224-0/12/09...$10.00.  \nFigure 1. Subjects using SpiroSmart (left) and a clinical spirometer (right) and example curves from each device.  \nbations, more rapid recovery, reduced health care costs, and improved outcomes [15,23,34,35] . However, challenges currently faced by home spirometry are cost, patient compliance and usability, and an integrated method for uploading results to physicians [9,12] . Importantly, while officebased spirometry is coached by a trained technician, current home spirometers have no coaching, feedback, or quality control mechanisms to ensure acceptable measurements. In this paper, we present SpiroSmart, a smartphone-based approach that measures lung function using the phone’s built-in microphone (i.e., a complete software-enabled solution) . SpiroSmart requires the user to hold the smartphone at approximately arm’s length, breathe in their full lung volume, and forcefully exhale at the screen of the phone until the entire lung volume is expelled. The phone’s microphone records the exhalation and sends the audio data toa server, which calculates the exhaled flow rate by estimating models of the user’s vocal tract and t","cbCaieSYDm0esa9A","https://ap.wps.com/l/cbCaieSYDm0esa9A","pdf",1475954,"English","# Abstract\n# Introduction\n## Background on spirometry\n## Challenges of home spirometry\n## SpiroSmart approach and workflow\n# Performance and evaluation","[{\"question\":\"What problem does SpiroSmart address in home spirometry?\",\"answer\":\"SpiroSmart targets barriers to widespread home spirometry such as cost and usability, while also aiming to provide an integrated way to produce results using a mobile device’s built-in microphone.\"},{\"question\":\"How does SpiroSmart estimate lung airflow from the phone microphone recording?\",\"answer\":\"It records exhalation audio and calculates exhaled flow rate by estimating user vocal-tract and sound reverberation effects, using envelope analysis in the time domain, resonance tracking in the frequency domain, and white-noise gain through linear prediction.\"},{\"question\":\"What accuracy did the evaluation report compared with a clinical spirometer?\",\"answer\":\"In a study of 52 subjects, SpiroSmart achieved a mean error of 5.1% relative to a clinical spirometer for common measures of lung function.\"}]","SpiroSmart - Using a Microphone to Measure Lung Function on a Mobile Phone | PDF",1790505257,25]