Toward the development of a wearable optical respiratory sensor for real-time use

被引:0
作者
Chavez-Gaxiola A. [1 ]
Fisher Z. [1 ]
La Belle J.T. [1 ]
机构
[1] School of Biological and Health Systems Engineering, Arizona State University, Tempe, 85287, AZ
来源
Critical Reviews in Biomedical Engineering | 2019年 / 47卷 / 02期
关键词
Digital image correlation; Respiration rate; Wearable sensors;
D O I
10.1615/CritRevBiomedEng.2019026605
中图分类号
学科分类号
摘要
Respiration rate is an important vital sign that can provide insight into a patient’s status and health progression. This information is used from critical care to sports and human performance evaluation. The current state of the art has demonstrated effectiveness in monitoring respiration rate with the use of wearable sensors. However, their form factor, which refers to the embodiment of approach, size, and shape, makes it difficult to implement within a longterm monitoring setting. Problems relating to form factor, such as compliance, are a major issue in collecting useful and actionable data, because they directly impact comfort and ease of wear. We present a new approach based on an optical computer mouse sensor that can be rendered into a slim, wearable device without the need for a harness or shirt to hold the sensor in place. Its main objective is to achieve similar or better readings than those of the state of the art while reducing the overall size and thus, improve compliance by making it easier, more comfortable to wear. The principle of operation of the sensor allows for enhanced signal and computational noise reduction for movement artifacts. The sensor was tested to determine its limits of detection and was calibrated to expected distance of movement. Then, observations were made under normal breathing conditions, apnea, deep breathing, and hyperventilation covering a spectrum of 0 to 45 breathings per minute (BPM). The performance of the device was described by using the mean average error which was 0.37 and 0.83 under deep breathing and hyperventilation, respectively. Testing revealed that the device produces the best results when worn over the diaphragm and that its readings are comparable to the industry gold standard. The future version we are developing incorporates a slimmer, lighter design, Bluetooth data communication to remove leads and wires, adhesive electrodes and a reusable adhesive that is also waterproof. © 2019 by Begell House.
引用
收藏
页码:131 / 139
页数:8
相关论文
共 28 条
[1]  
The conditions that cause the most readmissions [Internet], Advisory Board, (2018)
[2]  
Al-Khalidi F.Q., Saatchi R., Burke D., Elphick H., Tan S., Respiration rate monitoring methods: A review, Ped Pulmonol, 46, 6, pp. 523-529, (2011)
[3]  
Kundu S., Kumagai S., Sasaki M., A wearable capacitive sensor for monitoring human respiratory rate, Japan J Appl Phys, 52, 4S, (2013)
[4]  
Werthammer J., Krasner J., Dibenedetto J., Stark A.R., Apnea monitoring by acoustic detection of airflow, Pediatrics, 71, 1, pp. 53-55, (1983)
[5]  
Corbishley P., Rodriguez-Villegas E., Breathing detection: Towards a miniaturized, wearable, battery-operated monitoring system, IEEE Trans Biomed Eng, 55, 1, pp. 196-204, (2008)
[6]  
Folke M., Granstedt F., Hok B., Scheer H., Comparative provocation test of respiratory monitoring methods, J Clin Monitor Comp, 17, 2, pp. 97-103, (2002)
[7]  
Nepal K., Biegeleisen E., Taikang N., Apnea detection and respiration rate estimation through parametric modelling, Proceedings of the IEEE 28Th Annual Northeast Bioengineering Conference (IEEE Cat No02ch37342), pp. 277-278, (2002)
[8]  
Lanata A., Scilingo E., Nardini E., Loriga G., Paradiso R., De-Rossi D., Comparative evaluation of susceptibility to motion artifact in different wearable systems for monitoring respiratory rate, IEEE Trans Inf Technol Biomed, 14, 2, pp. 378-386, (2010)
[9]  
Reinvuo T., Hannula M., Sorvoja H., Alasaarela E., Myllyla R., Measurement of respiratory rate with high-resolution accelerometer and emfit pressure sensor, Proc of the 2006 IEEE Sensors Applications Symposium, pp. 192-195, (2006)
[10]  
Paradiso R., Loriga G., Taccini N., A wearable health care system based on knitted integrated sensors, IEEE Trans Inf Technol Biomed, 9, 3, pp. 337-344, (2005)