Wearable respiratory sensor based on Mach-Zehnder interferometer in seven-core fiber

Shao, Min; Yuan, Yubo; Zhang, Yan; Cao, Zhongwei; Li, Fei; Qiao, Xueguang

doi:10.1016/j.optlastec.2024.110662

Cited by 4 publications

(5 citation statements)

References 37 publications

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“…5(a) , it can be seen that the sensor is insensitive to temperature. Figure 5(b) shows the intensity changes less than 0.275 dB, and the maximum curvature measurement error caused by temperature is -0.0007 m -1 /°C, which is lower than the work in [ 20 ]. The low temperature cross sensitivity means the body temperature has little effect on the respiration measurement and ensures respiration accuracy.…”

Section: Sensor Principle and Fabricationmentioning

confidence: 62%

“…Therefore, the sensor with SCF length of 15 mm was selected for subsequent respiration monitoring experiments. The curvature sensitivity of the proposed MZI is higher than our previous work [ 20 ], it is expected that the MZI could achieve a distinct experimental performance in the respiration monitoring.…”

Section: Sensor Principle and Fabricationmentioning

confidence: 74%

“…Compared with the intensity demodulation-based sensors, the proposed MZI has a wide measuring range and a higher curvature sensitivity, which is also higher than that our previous work in [ 20 ]. At the same time, the temperature cross sensitivity is only about -0.0007 m -1 /°C, which is lower than Ref.…”

Section: Sensor Principle and Fabricationmentioning

confidence: 86%

“…[ 16 ], the bitaper has a larger diameter of about 170.21 μm, which holds robustness and compactness, for the sensor must experience long periods of curvature changes during respiration detection. It should be noted that the proposed sensor only needs to splice twice, which simplifies production process compared with our previous work [ 20 ], that could ensure the reproducibility of the sensor in view of further applications.…”

Section: Sensor Principle and Fabricationmentioning

confidence: 99%

“…Considering in practical applications, detect precision, wearable comfort and application stability of the sensors remain the focus of the optical fiber respiratory detection technique. In our previous work, a SCF based MZI for respiratory sensing was proposed [ 20 ], however, the preparation method and sensitivity of the sensor structure still need to be improved. Based on this, an optical fiber sensor based on single-mode fiber (SMF)-bitaper-SCF-bitaper- SMF structure for respiratory monitoring is presented.…”

Section: Introductionmentioning

confidence: 99%

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Optical fiber sensor for wearable and accurate human respiratory monitoring

Shao,

Yuan,

Wang

et al. 2024

Biomed. Opt. Express

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Accurate respiratory monitoring is of great significance in assessing and analyzing physical health, and preventing respiratory diseases. The recently emerged wearable respiratory sensors are confronted with the challenges such as complex fabrication processes, limited accuracy, and stringent wearing requirements. An optical fiber sensor for accurate human respiratory monitoring is proposed and experimentally verified. The sensor head is composed of a piece of seven core fiber sandwiched between two single-mode fibers by two fiber bitapers, which is embedded in a textile sheet and freely worn on the upper body. An efficient signal demodulation system is set up to acquire the respiratory signal, while Fourier transform (FFT) and short-time Fourier transform (STFT) methods are used to analyze the measured signal. Six volunteers are invited to perform the respiratory experiment, and the experimental results demonstrate that the sensor can accurately detect and distinguish respiratory signals under different humans, different states (normal, slow, fast), different body parts (abdomen, chest, back), different postures (standing, sitting, lying), and irregular respiration. The Pearson correlation coefficient of the sensor is higher than 0.9, which is consistent with commercial respiratory sensor. Meanwhile, the instability of the sensor is 0.003 Hz for the same volunteer in 6 months. The sensor has the advantages of high sensitivity, good stability and wearing comfort, showing good potential in healthcare applications.

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Section: Sensor Principle and Fabricationmentioning

confidence: 62%

Section: Sensor Principle and Fabricationmentioning

confidence: 74%

Section: Sensor Principle and Fabricationmentioning

confidence: 86%

Section: Sensor Principle and Fabricationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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