A validation study of a smartphone application for heart rate variability assessment in asymptomatic adults

被引:0
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作者
Gambassi, Bruno Bavaresco [1 ,2 ]
Neves, Victor Ribeiro [1 ,3 ]
Alves Brito, Einstein Zeus [1 ,4 ]
da Silva Fernandes, Danilo Sobral [1 ,4 ,5 ]
Sa, Camila Almeida [1 ,4 ,5 ]
Rocha Nogueira, Raquel Moraes [2 ]
Furtado Almeida, Fabiano de Jesus [11 ]
de Araujo Cavalcanti, Pedro Augusto [4 ]
Gomes Goncalves e Silva, Daniela Conceicao [1 ,6 ]
Neto, Danilo Sobreira [1 ,5 ,7 ]
de Souza Mesquita, Fabricio Olinda [1 ,4 ,6 ,7 ]
Gaspar Novais, Tania Maria [2 ]
Matias de Souza, Vania de Fatima [8 ]
Cerqueira Oliveira, Antonio Carlos [1 ,9 ]
Leite, Richard Diego [10 ]
Schwingel, Paulo Adriano [1 ,3 ,6 ]
机构
[1] Univ Pernambuco UPE, Lab Pesquisas Desempenho Humano LAPEDH, BR-56328900 Petrolina, PE, Brazil
[2] Univ Ceuma CEUMA, Programa Posgrad Gestao Programas & Serv Saude MG, BR-65075120 Sao Luis, MA, Brazil
[3] UPE, Programa Posgrad Reabilitacao & Desempenho Func P, BR-56328900 Petrolina, PE, Brazil
[4] Fac Tecnol Inspirar INSPIRAR, Curso Posgrad Fisioterapia Traumato Ortopedia & E, BR-56302280 Petrolina, PE, Brazil
[5] Inst Valler Med Integrada VALLER, Dept Med Esport, BR-48903055 Juazeiro, BA, Brazil
[6] Univ Pernambuco, Programa Posgrad Ciencias Saude PPGCS, BR-50100130 Recife, PE, Brazil
[7] Hosp Univ Univ Fed Vale Sao Francisco HU UNIVASF, Empresa Brasileira Serv Hosp EBSERH, BR-56304205 Petrolina, PE, Brazil
[8] Univ Estadual Maringa UEM, Dept Educ Fis DEF, BR-87020900 Maringa, Parana, Brazil
[9] Univ Fed Bahia UFBA, Complexo Hosp Univ Prof Edgard Santos HUPES, BR-40301155 Salvador, BA, Brazil
[10] Univ Fed Espirito Santo UFES, Ctr Educ Fis & Desportos CEFD, Lab Forca & Condicionamento, BR-2907591 Vitoria, ES, Brazil
[11] Univ Ceuma CEUMA, BR-65075120 Sao Luis, Maranhao, Brazil
来源
关键词
Autonomic nervous system; heart rate; electrocardiography; mobile applications; RATE MONITOR; VALIDITY; INTERVALS; SYSTEM;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Assessment of heart rate variability (HRV) is an effective non-invasive tool to obtain data on cardiac autonomic modulation and may be assessed by a range of devices, including mobile applications. Objective: This study aimed to validate a smartphone application by comparingthe R-R intervals (RRi) obtained by the app with a classic electrocardiogram (ECG)-derived reference condition Methods: Fifteen asymptomatic adults (24.9 +/- 3.4 years) underwent an orthostatic challenge during which RRi were simultaneously recorded by a freeware smartphone application and by an ECG recorder. Pearson correlation coefficients (r) and coefficients of determination (r(2)) were calculated to determine the degree of association between the two electronic devices. Two-way repeated measures analysis of variance and Bland-Altman analysis were used to calculate the measurement consistency and agreement, respectively, between the two methods. Effect size was also used to estimate the magnitude of the differences. Results: The number of RRi from asymptomatic adults recorded by the ECG and by the free smartphone application was similar at rest in supine position (13,149 vs. 13,157; P = 0.432) and during orthostatic challenge (10,666 vs. 10,664 P = 0.532). RRi in milliseconds from both devices presented a near perfect correlation in the supine position (r = 0.999; Confidence Interval [CI] at 95%: 0.999-0.999; P < 0.0001) and during orthostatic challenge (r = 0.988; 95% CI: 0.988-0.989; P < 0.0001). A negative bias of -0.526 milliseconds (95% limits of agreement [LoA] from -4.319 to 3.266 milliseconds) was observed in supine position between ECG and the smartphone application. On the other hand, a positive bias of 0.077 milliseconds (95% LoA from -10.090 to 10.240 milliseconds) during the orthostatic challenge was observed. Conclusions: Our results cross-validated a freeware smartphone application with the ECG-derived reference condition for asymptomatic adults at rest in the supine position and during orthostatic challenge.
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收藏
页码:219 / 229
页数:11
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