Design and Implementation of a Smart Sensor for Respiratory Rate Monitoring

Luis, Juan; Romero, Laura María Roa; Gómez-Galán, Juan Antonio; Naranjo-Hernández, David; Valderrama, Miguel; Barbarov-Rostán, Gerardo; Rubia-Marcos, C.

doi:10.3390/s140203019

Cited by 24 publications

(20 citation statements)

References 18 publications

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“…On the other hand, Figure 10 shows that placing the sensors as nodes without precise control of the distance between the sensor and the subject was adopted by 6% of the studies. Meanwhile, 29% of the studies integrated the sensors into mats or pillows [ 9 , 19 , 164 , 165 , 166 , 169 , 170 , 173 , 179 , 182 , 183 , 186 , 194 , 201 , 202 , 203 , 210 , 211 , 212 , 217 , 218 , 220 , 227 , 230 , 231 , 236 ] to measure breathing parameters during rest activities mainly. The rest of the environmental locations shown in Table 2 were only used in isolated cases.…”

Section: Resultsmentioning

confidence: 99%

“… 1 Note: The analysis for studies published before 2018 [ 5 , 6 , 7 , 9 , 10 , 19 , 48 , 50 , 51 , 52 , 53 , 54 , 183 , 184 , 185 , 186 , 187 , 188 , 189 , 190 , 191 , 192 , 193 , 194 , 195 , 196 , 197 , 198 , 199 , 200 , 201 , 202 , 203 , 204 , 205 , 206 , 207 , 208 , 209 , 210 , 211 , 212 , 213 , 214 , 215 , 216 , 217 , 218 , 219 , 220 , 221 , 222 , …”

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Sensing Systems for Respiration Monitoring: A Technical Systematic Review

Vanegas

Igual

Plaza

2020

Sensors

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Respiratory monitoring is essential in sleep studies, sport training, patient monitoring, or health at work, among other applications. This paper presents a comprehensive systematic review of respiration sensing systems. After several systematic searches in scientific repositories, the 198 most relevant papers in this field were analyzed in detail. Different items were examined: sensing technique and sensor, respiration parameter, sensor location and size, general system setup, communication protocol, processing station, energy autonomy and power consumption, sensor validation, processing algorithm, performance evaluation, and analysis software. As a result, several trends and the remaining research challenges of respiration sensors were identified. Long-term evaluations and usability tests should be performed. Researchers designed custom experiments to validate the sensing systems, making it difficult to compare results. Therefore, another challenge is to have a common validation framework to fairly compare sensor performance. The implementation of energy-saving strategies, the incorporation of energy harvesting techniques, the calculation of volume parameters of breathing, or the effective integration of respiration sensors into clothing are other remaining research efforts. Addressing these and other challenges outlined in the paper is a required step to obtain a feasible, robust, affordable, and unobtrusive respiration sensing system.

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Section: Resultsmentioning

confidence: 99%

Section: Figureunclassified

Sensing Systems for Respiration Monitoring: A Technical Systematic Review

Vanegas

Igual

Plaza

2020

Sensors

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“…Taking into account the proposed hypotheses, the capacitive sensor technology has been used as the basis of the signal acquisition stage of a portable smart sensor device for the non-obstructive monitoring of the respiratory rate. This technology provides high sensitivity with the added advantage that it does not require direct contact with the medium to be measured [ 11 , 34 , 55 , 56 , 57 ]. This technique is based on the measurement of the capacitance existing between two metal plates (electrodes) together with the thoracic tissue acting as a dielectric material.…”

Section: Methodsmentioning

confidence: 99%

“…The mechanical changes produced by breathing cause variations in the capacitance, which can be correlated with patterns related to the respiratory rate. This technique has been validated by using commercial capacitance meters [ 11 , 34 ], but some authors have proposed portable systems based on an LC oscillator (the letter L represents an inductor, and the letter C stands for a capacitor) to accurately measure the capacitance [ 11 , 56 , 57 , 58 , 59 ].…”

Section: Methodsmentioning

confidence: 99%

Smart Vest for Respiratory Rate Monitoring of COPD Patients Based on Non-Contact Capacitive Sensing

Naranjo-Hernández

Talaminos-Barroso

Reina‐Tosina

et al. 2018

Sensors

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In this paper, a first approach to the design of a portable device for non-contact monitoring of respiratory rate by capacitive sensing is presented. The sensing system is integrated into a smart vest for an untethered, low-cost and comfortable breathing monitoring of Chronic Obstructive Pulmonary Disease (COPD) patients during the rest period between respiratory rehabilitation exercises at home. To provide an extensible solution to the remote monitoring using this sensor and other devices, the design and preliminary development of an e-Health platform based on the Internet of Medical Things (IoMT) paradigm is also presented. In order to validate the proposed solution, two quasi-experimental studies have been developed, comparing the estimations with respect to the golden standard. In a first study with healthy subjects, the mean value of the respiratory rate error, the standard deviation of the error and the correlation coefficient were 0.01 breaths per minute (bpm), 0.97 bpm and 0.995 (p < 0.00001), respectively. In a second study with COPD patients, the values were −0.14 bpm, 0.28 bpm and 0.9988 (p < 0.0000001), respectively. The results for the rest period show the technical and functional feasibility of the prototype and serve as a preliminary validation of the device for respiratory rate monitoring of patients with COPD.

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“…The most common wearable devices are designed to be used in the wrist (resembling the ordinary watch [14,10]) being generally accepted by the user. Other wearable devices like respiratory rate monitors may be considered more invasive due to the type of sensors needed and the location where they must be on the body for the monitoring process [12,18].…”

Section: Wearable Approachesmentioning

confidence: 99%

iBoccia: A Framework to Monitor the Boccia Gameplay in Elderly

et al. 2017

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The increase of the elderly population has an enormous effect on the health care system of a country, as the rise of this population sets the mood to an exponential growth in assistance and care. Indeed, the inherent costs of this populational class are higher when comparing to the younger classes. Today paradigm focuses on the reduction of these costs by promoting a healthier lifestyle on all classes of the populations. Thus, the concern of a more active lifestyle is present in the elderly population, which has proven to reduce, for example, the risk of coronary problems. The stimulus on physical activity is now higher and it is possible to get several monitoring devices to keep track on the activity that was performed. Following this trend, the present paper presents a hybrid approach that employs the use of wearable devices, the Mio Fuse band and the pandlet, and a non-wearable device, the Kinect camera, to monitor elderly people during a Boccia game scenario. Preliminary tests were performed in laboratory. The results include data collected concerning a main movement that is used during a Boccia gameplay.

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Design and Implementation of a Smart Sensor for Respiratory Rate Monitoring

Cited by 24 publications

References 18 publications

Sensing Systems for Respiration Monitoring: A Technical Systematic Review

Sensing Systems for Respiration Monitoring: A Technical Systematic Review

Smart Vest for Respiratory Rate Monitoring of COPD Patients Based on Non-Contact Capacitive Sensing

iBoccia: A Framework to Monitor the Boccia Gameplay in Elderly

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