Development and Clinical Application of a Novel Non-contact Early Airflow Limitation Screening System Using an Infrared Time-of-Flight Depth Image Sensor

Takamoto, Hiroki; Nishine, Hiroki; Sato, Soichi; Sun, Guanghao; Watanabe, Sadao; Kim, Seokjin; Asai, Masahito; Mineshita, Masamichi; Matsui, Takemi

doi:10.3389/fphys.2020.552942

Cited by 7 publications

(16 citation statements)

References 18 publications

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“…However, it is not our aim to perform the automatic detection of IFL. This should be left to the current automated IFL detection system [42]- [45]. Although the annotation for IFL was not provided with proper physiological reasoning (i.e., the S1→S2→S3 transition represents the progressive closure of the UA) and high sensitivity and specificity, our proposition that the region between the alpha and theta thresholds may represent a considerable reduction in the flow can be validated concomitantly.…”

Section: F Significance Of Ordmentioning

confidence: 98%

Three-Stage Breathing Effort Quantification for Obstructive Sleep Apnea Detection Based on Thoracic and Abdominal Movement Signals

Adha

Igasaki

2021

IEEE Access

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A level-IV home-based sleep apnea monitoring system that utilizes alternative sensors, such as dual respiratory inductance plethysmography (RIP) belts, is proposed to promote routine apnea monitoring. Notably, continued excursion may occur in RIP belt signals, owing to the imperfect relationship between thoracic and abdominal movements during obstructive events. Therefore, we propose a novel algorithm to detect obstructive apnea based on an obstructive reciprocal divergence (ORD) continued excursion model and to explore the possibility of a multistage breathing-effort evaluation model using only RIP signals. Using the developed approach, we detected obstructive sleep apnea with a high accuracy of 99.83 ± 0.71% and a slight reduction of 73.34 ± 28.35% in hypopnea performance with overall combined objective metrics of 89.38 ± 10.53%. We found that introducing many stages improves specificity (p < 0.001). Furthermore, apart from apneic detection, we detected subtle changes in RIP signals qualitatively, which can help represent the inspiratory flow limitation (IFL) of the RIP. This study was validated by predicting an apnea hypopnea index (AHI) based on paradoxical breathing during sleep. A strong exponential relationship was observed between the proposed parameter based on the number of transitions with AHI (R 2 = 0.98; p < 0.001). The proposed approach can assist sleep technologists in characterizing obstructive and nonobstructive apneic events. Moreover, ORD is competent for further quantitative and qualitative IFL analysis and will significantly benefit the automated IFL detection system studies.

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Section: F Significance Of Ordmentioning

confidence: 98%

Three-Stage Breathing Effort Quantification for Obstructive Sleep Apnea Detection Based on Thoracic and Abdominal Movement Signals

Adha

Igasaki

2021

IEEE Access

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“…Moreover, research [ 69 ] states that the RR can be used as one of the most efficient indicators to determine whether a person is healthy. Anomalous RR is critical for detecting significant health problems and can also be used to forecast potentially serious clinical outcomes such as influenza classification [ 42 ], lung airflow limitation [ 70 ], and sleep apnea screening. Additionally, monitoring variations in RR can assist in identifying a high-risk intensive care patient up to 24-h before a medical emergency.…”

Section: Thermal Camera For Physiological Measurementmentioning

confidence: 99%

Implementation of Thermal Camera for Non-Contact Physiological Measurement: A Systematic Review

Manullang

Lin

Lai

et al. 2021

Sensors

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Non-contact physiological measurements based on image sensors have developed rapidly in recent years. Among them, thermal cameras have the advantage of measuring temperature in the environment without light and have potential to develop physiological measurement applications. Various studies have used thermal camera to measure the physiological signals such as respiratory rate, heart rate, and body temperature. In this paper, we provided a general overview of the existing studies by examining the physiological signals of measurement, the used platforms, the thermal camera models and specifications, the use of camera fusion, the image and signal processing step (including the algorithms and tools used), and the performance evaluation. The advantages and challenges of thermal camera-based physiological measurement were also discussed. Several suggestions and prospects such as healthcare applications, machine learning, multi-parameter, and image fusion, have been proposed to improve the physiological measurement of thermal camera in the future.

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“…Therefore, they demand for the quiet environment, and have a poor performance on measuring FVC [11,12] because the second half of the test is mostly inaudible to microphone. In recent years, time-of-flight (ToF) sensors have also been utilised to develop non-contact devices for PFT [16,17]. The authors in ref.…”

Section: Introductionmentioning

confidence: 99%

“…The authors in ref. [17] used an infrared ToF depth image sensor to model anterior-thorax three-dimensional motions, and conducted the multiple linear regression analysis to estimate the actual FVC from the ToF-derived FVC and somatotype data. The optical signal emitted by the ToF sensors has poor penetration of clothing.…”

Section: Introductionmentioning

confidence: 99%

Millimetre‐wave radar‐based spirometry for the preliminary diagnosis of chronic obstructive pulmonary disease

Wang,

Wan,

et al. 2023

IET Radar Sonar & Navi

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Chronic respiratory diseases, especially chronic obstructive pulmonary disease (COPD), have high morbidity and mortality worldwide. Spirometry is regarded as the gold standard for the diagnosis of COPD. However, conventional spirometry requires expensive devices and trained personnel. Therefore, it is not feasible for conventional spirometry to popularise outside the hospital. Millimetre‐wave radar has the characteristics of low cost and high integration. It can accurately capture the motion of the chest, which makes it possible to evaluate the pulmonary function of humans. A method to measure important respiratory indices in spirometry based on a 60‐GHz frequency‐modulated continuous‐wave radar system is proposed. The impact of body motion is reduced via a dedicated body twitch correction algorithm. A new fitting formula was utilised to estimate forced expiratory volume in one second and forced vital capacity. Experimental results demonstrated that millimetre‐wave radar‐based spirometry can achieve a high agreement with conventional spirometry. It is potential for radar‐based spirometry to be an alternative to conventional spirometry in the preliminary diagnosis of COPD outside the hospital.

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Development and Clinical Application of a Novel Non-contact Early Airflow Limitation Screening System Using an Infrared Time-of-Flight Depth Image Sensor

Cited by 7 publications

References 18 publications

Three-Stage Breathing Effort Quantification for Obstructive Sleep Apnea Detection Based on Thoracic and Abdominal Movement Signals

Three-Stage Breathing Effort Quantification for Obstructive Sleep Apnea Detection Based on Thoracic and Abdominal Movement Signals

Implementation of Thermal Camera for Non-Contact Physiological Measurement: A Systematic Review

Millimetre‐wave radar‐based spirometry for the preliminary diagnosis of chronic obstructive pulmonary disease

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