Child Respiration States Determination by Using IR-UWB Radar Sensor-Based Human Motion Detection Method

Daim, Terence Jerome; Lee, Razak Mohd Ali

doi:10.1109/cspa52141.2021.9377298

Cited by 6 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The method applied can produce a response and distinguish the child's different respiratory states. However, in this study respiration monitoring with motion-based detection did not include the optimal distance for sensor readings used [11]. Tyas and Pramudita (2020) also conducted a similar study on the implementation of multi-frequency FMCW in detecting respiration.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the results of a literature search and problem identification from several journal articles, the method of determining respiratory status without human contact is more efficient and tools do not need to be re-sterilized to minimize the risk of disease transmission, especially during the current Covis-19 pandemic [11] [15]. On the other hand, measurements with non-contact devices will provide a better psychological aspect for patients, provide a sense of comfort and be more hygienic compared to contact sensors [15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design and build analysis of the use of bioradar sensors for portable non-contact respiration monitoring

Nurfitri,

Ariswati,

Luthfiyah

et al. 2023

j.teknokes

View full text Add to dashboard Cite

Respiratory disorders are a critical health problem. Respiration is a vital activity for the proper functioning of the body. Pandemic SARS-CoV-2 virus is a highly contagious disease and causes rapid spread of droplets. This study aims to determine the effectiveness of the bioradar sensor used in non-contact respiration monitoring by exploring the distance to find out the optimal distance for sensor readings in monitoring respiration rate per minute. The results of this study for the 3 treatments given to respondents did not affect the results of measuring respiration rate. At distances of 10 cm and 25 cm they produce 40-43 times/minute, distances of 50 cm and 75 cm produce 33-36 times/minute, distances of 100 cm produce 20-22 times/minute and distances of 125 cm and 150 cm are not detected. The highest error value is -100.00% at a distance of 125cm and 150cm and the lowest error value is 3.39% at a distance of 100 cm. based on the results of the analysis of the effectiveness of sensor readings on distance, which is quite effective at a distance of ±100 cm. It is hoped that this research can reduce the level of disease transmission during the Covid-19 pandemic. The results of the study showed that the three treatments given to respondents did not affect the results of respiratory rate measurements. At a distance of 10 cm and 25 cm, it produced 40-43 times/minute, at a distance of 50 cm and 75 cm it produced 33-36 times/minute, at a distance of 100 cm it produced 20-22 times/minute, and at a distance of 125 cm and 150 cm it was not detected. The highest error value is -100.00% at a distance of 125 cm and 150 cm, and the lowest error value is 3.39% at a distance of 100 cm. Based on the analysis of the effectiveness of the sensor reading at a distance, it was found to be quite effective at a distance of ±100 cm. The implication of this study is that this bioradar sensor is effective in monitoring breathing rate at a distance of about 100 cm. The results of this study are expected to reduce the level of disease transmission during the Cov-19 pandemic, as non-contact monitoring can help in avoiding droplet spread, which is one of the ways the virus is transmitted. This study provides important information on the use of bioradar sensors in non-contact monitoring of breathing that can be used to improve the safety and quality of healthcare, especially in the context of a pandemic

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and build analysis of the use of bioradar sensors for portable non-contact respiration monitoring

Nurfitri,

Ariswati,

Luthfiyah

et al. 2023

j.teknokes

View full text Add to dashboard Cite

show abstract

“…Finally, image differential and time filtering were performed for each video to detect potential respiratory signals [17]. In 2021, a team used ultra-wideband radar sensors based on pulse radio to detect human motion and identify children's various respiratory states [18].…”

Section: Introductionmentioning

confidence: 99%

Cheyne-Stokes Respiration Perception via Machine Learning Algorithms

et al. 2022

View full text Add to dashboard Cite

With the development of science and technology, transparent, non-invasive general computing is gradually applied to disease diagnosis and medical detection. Universal software radio peripherals (USRP) enable non-contact awareness based on radio frequency signals. Cheyne-Stokes respiration has been reported as a common symptom in patients with heart failure. Compared with the disadvantages of traditional detection equipment, a microwave sensing method based on channel state information (CSI) is proposed to qualitatively detect the normal breathing and Cheyne-Stokes breathing of patients with heart failure in a non-contact manner. Firstly, USRP is used to collect subjects’ respiratory signals in real time. Then the CSI waveform is filtered, smoothed and normalized, and the relevant features are defined and extracted from the signal. Finally, the machine learning classification algorithm is used to establish a recognition model to detect the Cheyne-Stokes respiration of patients with heart failure. The results show that the system accuracy of support vector machine (SVM) is 97%, which can assist medical workers to identify Cheyne-Stokes respiration symptoms of patients with heart failure.

show abstract

Hand Gesture Speed Recognition and Classification using IR-UWB Radar Sensor

Daim

Lee

2022

2022 IEEE 18th International Colloquium on Signal Processing &Amp; Applications (CSPA)

View full text Add to dashboard Cite

Child Respiration States Determination by Using IR-UWB Radar Sensor-Based Human Motion Detection Method

Cited by 6 publications

References 10 publications

Design and build analysis of the use of bioradar sensors for portable non-contact respiration monitoring

Design and build analysis of the use of bioradar sensors for portable non-contact respiration monitoring

Cheyne-Stokes Respiration Perception via Machine Learning Algorithms

Hand Gesture Speed Recognition and Classification using IR-UWB Radar Sensor

Contact Info

Product

Resources

About