scholarly journals Agreement between respiratory rate measurement using a combined electrocardiographic derived method versus impedance from pneumography

Author(s):  
Linda K. Bawua ◽  
Christine Miaskowski ◽  
Sukardi Suba ◽  
Fabio Badilini ◽  
David Mortara ◽  
...  
2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Gurpreet Singh ◽  
Augustine Tee ◽  
Thanawin Trakoolwilaiwan ◽  
Aza Taha ◽  
Malini Olivo

2020 ◽  
Vol 79 (43-44) ◽  
pp. 32065-32077
Author(s):  
Shiqi Li ◽  
Haipeng Wang ◽  
Shuze Wang ◽  
Shuai Zhang

2011 ◽  
Vol 5 (1) ◽  
pp. 18-23 ◽  
Author(s):  
Ian Smith ◽  
John Mackay ◽  
Nahla Fahrid ◽  
Don Krucheck

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3020 ◽  
Author(s):  
Kazuhiro Taniguchi ◽  
Atsushi Nishikawa

We have carried out research and development on an earphone-type respiratory rate measuring device, earable POCER. The name earable POCER is a combination of “earable”, which is a word coined from “wearable” and “ear”, and “POCER”, which is an acronym for “point-of-care ear sensor for respiratory rate measurement”. The earable POCER calculates respiratory frequency, based on the measurement values over one minute, through the simple attachment of an ear sensor to one ear of the measured subject and displays these on a tablet terminal. The earable POCER irradiates infrared light using a light-emitting diode (LED) loaded on an ear sensor to the epidermis within the ear canal and, by receiving that reflected light with a phototransistor, it measures movement of the ear canal based on respiration. In an evaluation experiment, eight healthy subjects first breathed through the nose 12 times per minute, then 16 times per minute, and finally 20 times per minute, in accordance with the flashing of a timing instruction LED. The results of these evaluation tests showed that the accuracy of the respiratory frequency was 100% for nose breathing 12 times per minute, 93.8% at 16 times, and 93.8% at 20 times.


Pneumonia ◽  
2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Varun Alwadhi ◽  
Enisha Sarin ◽  
Praveen Kumar ◽  
Prasant Saboth ◽  
Ajay Khera ◽  
...  

Author(s):  
Mohammad Monirujjaman Khan ◽  
Talat Mahmud ◽  
Faria Soroni ◽  
Mujtabir Alam ◽  
Mahamud Hussain ◽  
...  

2002 ◽  
Vol 96 (1) ◽  
pp. 31-33 ◽  
Author(s):  
W.S. LIM ◽  
S.M. CARTY ◽  
J.T. MACFARLANE ◽  
R.E. ANTHONY ◽  
J. CHRISTIAN ◽  
...  

2011 ◽  
Vol 23 (3) ◽  
pp. 434-442 ◽  
Author(s):  
Hiroyasu Miwa ◽  

Daily stress management is essential for preventing mental illness. We have therefore been developing physiological signal sensors for measurement of multiple stress markers. The present study focused on “body-sound,” i.e., sound generated inside the human body, which included high amounts of information on physical condition. The prototype body-sound sensor we developed consisted of stethoscopes, amplifier microphones, an A/D converter and a PC. We measured body-sound in the neck and trunk. Then, we selected heart rate and respiratory rate as common stress markers. By comparing body-sound at different measurement positions, we developed new sensing system simultaneously measuring heart and respiratory rate with a body-sound sensor at the neck. Finally, we evaluated proposal performance by comparing body-sound and the electrocardiogram and respiratory waveform, confirming that our proposal could measure both heart and respiratory rate.


Author(s):  
I Kadek Eman Giyana Mahardika ◽  
Torib Hamzah ◽  
Triana Rahmawati ◽  
Liliek Soetjiatie

Respiratory rate measurement tool is a technique used to determine the number of respiratory activity a person every minute. In the classification of the number of breathing per minute someone, can be divided into three groups, namely the so-called eupnea/normal, above average breathing called tachypnea, while below the average so-called bradypnea. This method is highly dependent on the concentration of the mind and senses actor sensitivity measurement / observation. Therefore human nature is easy to forget, tired and bored, so now developed a method of measurement or observation of respiratory rate electronically. In this study, respiratory rate measurement making use flex sensor by placing the sensor in the patient's stomach and will detect the curvature of the patient's stomach. Results from the patient's respiratory displayed on the LCD Character and android using HC-05 Bluetooth as the media sender. The results of the measurement data of the 10 respondents indicated the average - average error of 3.2%. After testing and data collection can be concluded that the appliance is eligible to use because it is still within the tolerance range of 10%.


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