Seeking Inspiration: Examining the Validity and Reliability of a New Smartphone Respiratory Therapy Exergame App

被引:6
作者
Baxter, Clarence [1 ,2 ]
Carroll, Julie-Anne [1 ,2 ]
Keogh, Brendan [3 ]
Vandelanotte, Corneel [4 ]
机构
[1] Queensland Univ Technol, Fac Hlth, Sch Publ Hlth & Social Work, Kelvin Grove 4059, Australia
[2] Queensland Univ Technol, Inst Hlth & Biomed Innovat, Sch Publ Hlth & Social Work, Kelvin Grove 4059, Australia
[3] Queensland Univ Technol, Creat Ind Educ & Social Justice Fac, Digital Media Res Ctr, Kelvin Grove 4059, Australia
[4] Cent Queensland Univ, Appleton Inst, Phys Act Res Grp, Rockhampton, Qld 4702, Australia
关键词
telemedicine; mHealth; respiratory; smartphone; cellphone; digital simulation; microphone; gamification; serious game; exergame; INCENTIVE SPIROMETRY; FLOW-RATE; PULMONARY-FUNCTION; SOUND; REHABILITATION; METHODOLOGY; PREVALENCE; ACCURACY; PATIENT; RATES;
D O I
10.3390/s21196472
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Background: Clinically valid and reliable simulated inspiratory sounds were required for the development and evaluation of a new therapeutic respiratory exergame application (i.e., QUT Inspire). This smartphone application virtualises incentive spirometry, a longstanding respiratory therapy technique. Objectives: Inspiratory flows were simulated using a 3 litre calibration syringe and validated using clinical reference devices. Syringe flow nozzles of decreasing diameter were applied to model the influence of mouth shape on audible sound levels generated. Methods: A library of calibrated audio inspiratory sounds was created to determine the reliability and range of inspiratory sound detection at increasing distances separating the sound source and smartphones running the app. Results: Simulated inspiratory sounds were reliably detected by the new application at higher air inflows (high, medium), using smaller mouth diameters (< 25 mm) and where smartphones were held proximal (<= 5 cm) to the mouth (or at distances up to 50 cm for higher airflows). Performance was comparable for popular smartphone types and using different phone orientations (i.e., held horizontally, at 45 degrees or 90 degrees). Conclusions: These observations inform future application refinements, including prompts to reduce mouth diameter, increase inspiratory flow and maintain proximity to the phone to optimise sound detection. This library of calibrated inspiratory sounds offers reproducible non-human reference data suitable for development, evaluation and regression testing of a therapeutic respiratory exergame application for smartphones.
引用
收藏
页数:17
相关论文
共 59 条
[1]   Cough Sound Analysis Can Rapidly Diagnose Childhood Pneumonia [J].
Abeyratne, Udantha R. ;
Swarnkar, Vinayak ;
Setyati, Amalia ;
Triasih, Rina .
ANNALS OF BIOMEDICAL ENGINEERING, 2013, 41 (11) :2448-2462
[2]   Chaotic dynamics of respiratory sounds [J].
Ahlstrom, C. ;
Johansson, A. ;
Hult, P. ;
Ask, P. .
CHAOS SOLITONS & FRACTALS, 2006, 29 (05) :1054-1062
[3]   Exergaming as a Supportive Tool for Home-Based Rehabilitation in the COVID-19 Pandemic Era [J].
Ambrosino, Pasquale ;
Fuschillo, Salvatore ;
Papa, Antimo ;
Di Minno, Matteo Nicola Dario ;
Maniscalco, Mauro .
GAMES FOR HEALTH JOURNAL, 2020, 9 (05) :311-313
[4]  
Andres E, 2018, J Med Life, V11, P89
[5]   Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature [J].
Bastawrous, Andrew ;
Armstrong, Matthew J. .
JOURNAL OF THE ROYAL SOCIETY OF MEDICINE, 2013, 106 (04) :130-142
[6]   Assessment of Mobile Health Apps Using Built-In Smartphone Sensors for Diagnosis and Treatment: Systematic Survey of Apps Listed in International Curated Health App Libraries [J].
Baxter, Clarence ;
Carroll, Julie-Anne ;
Keogh, Brendan ;
Vandelanotte, Corneel .
JMIR MHEALTH AND UHEALTH, 2020, 8 (02)
[7]  
Brown R., 2011, ACOUSTICS, V106, P106
[8]   Smartphone-based sound level measurement apps: Evaluation of compliance with international sound level meter standards [J].
Celestina, Metod ;
Hrovat, Jan ;
Kardous, Chucri A. .
APPLIED ACOUSTICS, 2018, 139 :119-128
[9]  
Chang Angela T., 2010, Physiotherapy Theory and Practice, V26, P385, DOI 10.3109/09593980903423210
[10]   Predicting Pulmonary Function from Phone Sensors [J].
Cheng, Qian ;
Juen, Joshua ;
Bellam, Shashi ;
Fulara, Nicholas ;
Close, Deanna ;
Silverstein, Jonathan C. ;
Schatz, Bruce .
TELEMEDICINE AND E-HEALTH, 2017, 23 (11) :913-919