Literature DB >> 25684320

Development of a noncontact heart rate monitoring system for sedentary behavior based on an accelerometer attached to a chair.

Eunho Lim, Hyo-Ki Lee, Hyoun-Seok Myoung, Kyoung-Joung Lee.   

Abstract

Although people spend a third of their day engaged in sedentary activities, research on heart activity during sitting is almost nonexistent because of the discomfort experienced when electrocardiogram (ECG) measurement electrodes are attached to the body. Accordingly, in this study, a system was developed to monitor heart rate (HR) in a noncontact and unconstrained way while subjects were seated, by attaching an accelerometer on the backrest of a chair. Acceleration signals were obtained three times from 20 healthy adults, a detection algorithm was applied, and HR detection performance was evaluated by comparing the R-peak values from the ECG. The system had excellent performance results, with a sensitivity of 96.10% and a positive predictive value of 96.43%. In addition, the HR calculated by the new system developed in this study was compared with HR calculated using ECG. The new system exhibited excellent performance; its results were strongly correlated with that of ECG (r = 0.97, p [Formula: see text] 0.0001; average difference of -0.08  ±  4.60 [mean ± 1.96∙standard deviation] in Bland-Altman analysis). Accordingly, the method presented in this study is expected to be applicable for evaluating diverse autonomic nervous system components in a noncontact and unconstrained way using an accelerometer to monitor the HR of sedentary workers or adolescents.

Entities:  

Mesh:

Year:  2015        PMID: 25684320     DOI: 10.1088/0967-3334/36/3/N61

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  2 in total

1.  Cardiopulmonary Coupling Analysis Using Home Sleep Monitoring System Based on Air Mattress.

Authors:  Jong-Uk Park; Erdenebayar Urtnasan; Eun-Yeon Joo; Kyoung-Joung Lee
Journal:  J Med Syst       Date:  2017-09-26       Impact factor: 4.460

2.  Infrared Camera-Based Non-contact Measurement of Brain Activity From Pupillary Rhythms.

Authors:  Sangin Park; Mincheol Whang
Journal:  Front Physiol       Date:  2018-10-10       Impact factor: 4.566

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.