Time-domain photoacoustic waveform analysis for glucose measurement

Zhang, Ruochong; Luo, Yunqi; Jin, Haoran; Gao, Fei; Zheng, Yuanjin

doi:10.1039/d0an01678k

Cited by 15 publications

(9 citation statements)

References 40 publications

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“…The time-domain analysis method shows significant advantages to process the action signal waveform [ 12 ]. For a discrete signal { x 0 , x 1 , ⋯ x n }, the discrete signal can be expressed as follows:

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Section: Methodsmentioning

confidence: 99%

Effect of Comprehensive Rehabilitation Training Program in Orthopedic Nursing of Patients with Residual Limb Injury Caused by Crush

Zhou

2022

Journal of Healthcare Engineering

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This study was developed to explore the role and application value of a comprehensive rehabilitation training (CRT) program based on the remote monitoring system of limb rehabilitation training (LRT-RM system) in the rehabilitation nursing of patients with residual limb injuries caused by crush. The LRT-RM system was constructed based on the characteristics of limb movement and using the time-domain analysis method and support vector machine (SVM). The 84 crush injury patients were selected as the research objects and divided into a control group (Con group, received conventional rehabilitation therapy) and a CRT group (received conventional rehabilitation therapy + functional training) according to different therapies, with 42 people in each group. The incidence of compound injuries and the incidence of residual limb injuries were counted and compared for patients in two groups. The differences in renal function, blood electrolytes, and biochemical indicators before and after treatment were analyzed. The MOS 36-item short-form health survey (SF-36) scale was selected to evaluate the improvement of physical and mental health of the patients before treatment and 1 month (time point (TP1)), 3 months (TP2), 6 months (TP3), and 12 months (TP4) after the treatment. It was found that, after the intervention, the values of serum creatinine (Scr), blood urea nitrogen (BUN), uric acid (UA), K+, P3+, and white blood cells (WBC) of patients in CRT group were obviously lower than those of Con group ( P < 0.05), and the values of carbon dioxide combining power (CO2CP), Ca2+, hemoglobin (Hb), red blood cell (RBC), total protein (TP), and albumin (ALB) were obviously higher than the values in Con group ( P < 0.05). In the CRT group, the residual limb injury rate was lower in elbow, wrist, shoulder joint, ankle joint, and toe ( P < 0.05) and extremely lower in knee joint in contrast to that in the Con group ( P < 0.001). The score of SF-36 was dramatically higher than that in the Con group ( P < 0.05). It suggested that the CRT program based on the LRT-RM system was helpful for the rehabilitation of patients with crush injuries, and it can reduce the incidence of residual limb injuries in patients. Results of this study could provide a reference basis for the treatment of residual limb injuries caused by crush.

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Section: Methodsmentioning

confidence: 99%

Effect of Comprehensive Rehabilitation Training Program in Orthopedic Nursing of Patients with Residual Limb Injury Caused by Crush

Zhou

2022

Journal of Healthcare Engineering

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“…When the signal-to-noise ratio (SNR) is high, the technique can achieve excellent prediction accuracy, whereas if the SNR is poor, the efficacy of this technique will be limited. In the latest research, Zhang et al reported a novel method named time-domain photoacoustic waveform spectroscopy (tPAWS) [ 48 ]. This method employs three signal processing tools, MLR, PCR, and PLSR, to extract the information features of multiple variables inherent in the PA waveform excited by a single wavelength laser.…”

Section: Non-invasive Monitoring Methods Based On Photoacoustic Spect...mentioning

confidence: 99%

Non-Invasive Monitoring of Human Health by Photoacoustic Spectroscopy

Jin

Yin

et al. 2022

Sensors

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For certain diseases, the continuous long-term monitoring of the physiological condition is crucial. Therefore, non-invasive monitoring methods have attracted widespread attention in health care. This review aims to discuss the non-invasive monitoring technologies for human health based on photoacoustic spectroscopy. First, the theoretical basis of photoacoustic spectroscopy and related devices are reported. Furthermore, this article introduces the monitoring methods for blood glucose, blood oxygen, lipid, and tumors, including differential continuous-wave photoacoustic spectroscopy, microscopic photoacoustic spectroscopy, mid-infrared photoacoustic detection, wavelength-modulated differential photoacoustic spectroscopy, and others. Finally, we present the limitations and prospects of photoacoustic spectroscopy.

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“…Although the common features can achieve acceptable performance [32], [33], they cannot directly describe the patterns of the blood-glucose photoacoustic signal. In 2020, Zhang [20] first proposed the time-domain photoacoustic waveform analysis to model this signal using a damped sinusoidal signal, and build a concrete expression. However, a complex expression is hard to satisfy our expectations, and we wonder a more concise expression.…”

Section: A Waveform Featuresmentioning

confidence: 99%

“…Inspired by [20], we found that the blood glucose signal is close to a damped sinusoidal signal in the waveform. Hence, the naive idea is to use a model that can generate damped sinusoidal signals to describe the photoacoustic signals, and A classic model is the forced damping vibration equation [21].…”

Section: Introductionmentioning

confidence: 97%

Evidential regression-based blood glucose detection using waveform features

Long¹,

Yang²,

Li³

et al. 2021

Preprint

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<div>As one of the necessary diabetes control and treatment methods, the photoacoustic blood glucose detection technology has great potential due to its deep detection depth and low interference from stray light. Previous research mainly focused on improving the detection capabilities of hardware systems and ignored the exploration of the physical meaning of the signal itself. We analyzed the characteristics of the signal amplitude decay in the photoacoustic signal and employed the forced damping vibration equation to model the signal waveform. A new waveform feature was constructed to describe the amplitude attenuation rate. Moreover, facing low accuracy of blood glucose prediction in the case of small data, we proposed a stable and effective blood glucose detection combining time-frequency feature and waveform features with evidential regression. Finally, in human tissue and glucose solution experiments, the minimum error is achieved 1.02±0.71 mg/dL and 13.28±10.33 mg/dL, respectively.</div><div><br></div>

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Time-domain photoacoustic waveform analysis for glucose measurement

Abstract: Photoacoustic (PA) effect is the product of light-ultrasound interactions and its time-domain waveform contains rich information. Besides optical absorption, PA waveform inherently consists of other mechanical and thermal properties of...

Cited by 15 publications

References 40 publications

Effect of Comprehensive Rehabilitation Training Program in Orthopedic Nursing of Patients with Residual Limb Injury Caused by Crush

Effect of Comprehensive Rehabilitation Training Program in Orthopedic Nursing of Patients with Residual Limb Injury Caused by Crush

Non-Invasive Monitoring of Human Health by Photoacoustic Spectroscopy

Evidential regression-based blood glucose detection using waveform features

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