Measuring Uncertainty During Respiratory Rate Estimation Using Pressure-Sensitive Mats

Nizami, Shermeen; Bekele, Amente; Hozayen, Mohamed; Greenwood, Kim; Harrold, JoAnn; Green, J. R.

doi:10.1109/tim.2018.2805154

Cited by 26 publications

(11 citation statements)

References 38 publications

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“…As can be seen in all cases, improvement in signal quality leads to a reduction in heart and breathing rate error, and an increase in the percentage of recordings with less than 5 bpm error. For clinical use, a mean absolute error of less than 5 bpm is typically required [52], [53]. Based on this requirement, only high-quality recordings with signal quality 5 for heart recordings and signal qualities 4 and for lung recordings meet this requirement.…”

Section: Figures 2 Andmentioning

confidence: 99%

Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications

et al. 2022

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In this study, a new method is proposed to assess heart and lung signal quality objectively and automatically on a 5-level scale in real-time, and to assess the effect of signal quality on vital sign estimation. A total of 207 10 s long chest sounds were taken from 119 preterm and full-term babies. Thirty of the recordings from ten subjects were obtained with synchronous vital signs from the Neonatal Intensive Care Unit (NICU). As a reference, seven annotators independently assessed the signal quality. For automatic quality classification, 400 features were extracted from the chest sounds. After feature ranking and selection, class balancing, and hyperparameter optimization, a variety of multi-class and ordinal classification and regression algorithms were trained. Then, heart rate and breathing rate were automatically estimated from the chest sounds. For the deep learning model, YAMNet, a deep convolutional neural network pre-trained on the AudioSet-Youtube corpus for sound classification was used. After modification of the final output layers of the neural network and class balancing, transfer learning was applied to YAMNet for heart and lung signal quality classification. The results of subject-wise leave-one-out cross-validation show that the best-performing models had a balanced accuracy of 56.8% and 51.2% for heart and lung qualities, respectively. The best-performing models for real-time analysis (<200 ms) had a balanced accuracy of 56.7% and 46.3%, respectively. Our experimental results underscore that increasing the signal quality leads to a reduction in vital sign error.

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Section: Figures 2 Andmentioning

confidence: 99%

Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications

et al. 2022

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“…The relationship between the three vectors is found to be [14] k i sinî = k r sinr = k t sint (1) from which it immediately follows thatr = π −î and, taking into account that the frequency of the transmitted wave and that of the incident wave must be equal, i.e., that k i /n 1 = k t /n 2 , results in the well-known Snell's law sinî = k t k i sinr = n 2 n 1 sinr (2) from which it is evident that if n 2 > n 1 , a critical angle of incidenceî c exists, for which the transmitted wave lies in the z = 0 planeî…”

Section: A Frustration Of Total Internal Reflectionmentioning

confidence: 99%

“…P RESSURE field sensing is a complex measurement task which is often needed in the field of mechanical [1] and biomedical engineering [2]. The analysis of measurement science literature reveals the existence of several techniques that are able to measure pressure fields (so that a pressure map is retrieved).…”

Section: Introductionmentioning

confidence: 99%

On the Design of Force Sensors Based on Frustrated Total Internal Reflection

Lavatelli

Zanoni

Zappa

et al. 2019

IEEE Trans. Instrum. Meas.

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Frustrated total internal reflection (FTIR) of light is a physical phenomenon which can be used to accomplish several measurement tasks. This paper deals with the design and modeling of pressure field or force sensors based on FTIR. In fact, it is possible to convert the value of contact pressure into a light intensity signal, owing to the frustration of reflection of a dedicated medium. In this sense, it is possible to measure pressure/forces with a camera system or a photosensitive sensor. In this paper, the physical principles of the technique are recalled. Then, an experiment will document the behavior of FTIR at micromechanical level. Consequently, a Greenwood-Williamson (GW) model is proposed as a tool to predict the response of the FTIR-based pressure sensor. Experimental data and uncertainty analysis show that the design methodology is able to predict the behavior of the sensor with an uncertainty that is about ±10% of the actual specimen response, thus providing an effective tool to optimize the FTIR experiments.

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“…An alternative approach for non-obtrusively monitoring respiration is using pressure sensors, in the form of films and mats that can be placed underneath the mattress or the bedding. Nizami et al have demonstrated the feasibility of reliably acquiring the RR using a pressure sensitive mat, even in light-weight infants, by using a neonatal simulator weighing 900g 12 . In this paper, we describe a comparative clinical study in preterm infants and demonstrate the possibility of non-obtrusively monitoring respiration using an ultrathin and flexible film-like pressure sensor.…”

Section: Introductionmentioning

confidence: 99%

Monitoring the respiratory rate of preterm infants using an ultrathin film sensor embedded in the bedding: a comparative feasibility study

et al. 2019

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Measuring Uncertainty During Respiratory Rate Estimation Using Pressure-Sensitive Mats

Cited by 26 publications

References 38 publications

Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications

Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications

On the Design of Force Sensors Based on Frustrated Total Internal Reflection

Monitoring the respiratory rate of preterm infants using an ultrathin film sensor embedded in the bedding: a comparative feasibility study

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