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Noninvasive Respiratory Monitoring Through Correlation of Thoracoabdominal Movements and Pressure Fluctuations

IEEE SENSORS JOURNAL 2025年第7期25卷 11226-11235页

作者： Song, Yao Guo, Shijie Liang, Bowen Hebei Univ Technol Hebei Key Lab Robot Percept & Human Robot Interact Tianjin 300130 Peoples R China Hebei Univ Technol State Key Lab Reliabil & Intelligence Elect Equipm Tianjin 300130 Peoples R China Hebei Univ Technol Hebei Key Lab Robot Sensing & Human Robot Interact Tianjin 300130 Peoples R China

This study presents a novel, noninvasive system that quantifies thoracoabdominal respiratory movements and correlates them with back pressure fluctuations, advancing respiratory monitoring. A key contribution is the development of a method to measure the 3-D movements of the chest and abdomen using a 3-D motion capture system, enabling high-precision analysis of respiratory dynamics. In addition, another significant contribution of this work is the development of a novel correlation model that integrates the thoracoabdominal motion data with back pressure fluctuations recorded by a tactile sensor array. This integration represents a critical departure from previous research, which often examines these parameters in isolation. By linking back pressure fluctuations to respiratory displacements, our method facilitates noncontact, unobtrusive respiratory monitoring, offering a practical and patient friendly alternative to traditional contact-based techniques such as respiratory inductance plethysmography (RIP). Furthermore, this study identifies optimal regions for pressure monitoring, which enhances the system's precision and usability for long-term monitoring in clinical and home environments. This step addresses a critical gap in the current literature, where practical implementation strategies are often overlooked. The results reveal a clear correlation between pressure fluctuations and respiratory movements, forming the basis for a model that can predict respiratory states. This system provides significant potential for practical application, offering a promising solution for reliable, unobtrusive respiratory monitoring in both clinical and home settings.

关键词： Sensors Monitoring Abdomen Fluctuations Correlation Sensor arrays Pressure measurement Feature extraction Data models Accuracy Mapping relationship surface displacement tactile sensor sheet thoracoabdominal movement unconstrained respiration monitoring

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Unconstrained Identification of the Positions of Chest and Abdomen and Detection of Respiratory Motions in Sleep by Using a Bed-Size Tactile Sensor Sheet

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IEEE SENSORS JOURNAL 2023年第14期23卷 16276-16286页

作者： Song, Yao Guo, Shijie Xiao, Sen Zhao, Xingli Hebei Univ Technol Hebei Key Lab Robot Percept & Human Robot Interact Tianjin 300130 Peoples R China Hebei Univ Technol State Key Lab Reliabil & Intelligence Elect Equipm Tianjin 300130 Peoples R China Hebei Univ Technol Hebei Key Lab Robot Sensing & Human Robot Interact Tianjin 300130 Peoples R China

Respiratory diseases can be effectively screened by monitoring chest and abdominal motions during respiration. Respiratory inductance plethysmography (RIP) is commonly used for this purpose in clinics. However, RIP has strong constraints on human body, limiting its daily use. Several unconstrained methods have been developed, but they cannot replace RIP due to their inability to accurately distinguish between chest and abdominal motions. The authors' group proposed an unconstrained method that has the potential to replace RIP by using a bed-size tactile sensor sheet. To increase its accuracy, the present work investigates the personalized identification method of optimal measurement regions of the chest and abdomen based on the body pressure distribution measured by the tactile sensor sheet. A new discriminative feature procedure and a corresponding mathematical model were proposed, and tests were conducted on 16 healthy subjects. The results demonstrate that the proposed method can enhance the measurement accuracy of the sensor sheet method, providing a convenient and practical way to early screening of respiratory diseases.

关键词： Empirical modal decomposition response surface model tactile sensor sheet thoracoabdominal movement unconstrained respiration monitoring

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label-free detection of E. coli by alternating current electrokinetic capacitive sensors

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ANALYTICA CHIMICA ACTA 2025年 1354卷 343972页

作者： Liu, Xingchi Qiu, Xinchen Pan, Zhang Chen, Jing Li, Shanshan Cheng, Jingmeng Hebei Univ Technol Arizona Coll Technol Tianjin 300401 Peoples R China Sch Mech Engn Hebei Key Lab Robot Sensing & Human robot Interact Tianjin 300130 Peoples R China Tangshan Univ Dept Basic Courses Tangshan 063000 Peoples R China

Background: Escherichia coli (E. coli) is one of the most common pathogens in water and foods, and it poses a significant threat to global public health, particularly in low-and middle-income countries. However, most of the state-of-art detection method for E. coli bacteria sensing needs fluorescence staining or pre-immobilizations or specific biomaker as labels before tests, making the detection process a time costing and labor intensitive work. Thus, it is desirable to develop a label-free and no-immobilization detection method for the sensitive detection of E. coli or other pathogens. Results: In this work, we developed a sensitive method for E. coli detection without any labels or pre-immobilizations. Here the source AC signal provides ACEK effects to trap bacteria onto the electrode surface. As the source AC signal is cut off, the enriched bacteria would release from sensor electrodes. Then, a significant interfacial capacitance change along with particle releasing is observed by applying a measurement AC signal. The DEP capture of E. coli bacteria at different AC frequencies and voltages are experimentally investigated to optimize the performance of capacitive sensors. To note, the total area of our sensitive unit can be as large as 2 mm x 2 mm with the geometry design of isomotive DEP. Capacitive sensing tests of river water collected from local river and tap water with several control groups are performed to show its reliability as a biosensing approach for the sensitive detection of E. coli. Significance: The most significant advantage of this method is that we do not need to pre-immobilize any probes (antigens, or antibodies, etc.) or take incubation onto the sensor electrode before taking capacitance measurement. Moreover, the straight forward operation is preimmobilization free, and therefore it meets the requirements of on-site bacteria detection for pathogen detection in water quality monitoring or food safety.

关键词： Microfluidics Impedance Alternating current electrokinetic Capacitive sensor Dielectrophoretic

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Numerical simulation-based loaded inflation height modeling of nursing bed airbag

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MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 2022年第11期60卷 3231-3242页

作者： Xiao, Yunxuan Liu, Teng Zhang, Zhong Zhang, Jianjun Guo, Shijie Hebei Univ Technol Sch Mech Engn State Key Lab Reliabil & Intelligence Elect Equip Hebei Key Lab Robot Percept & Human Robot Interac Tianjin 300130 Peoples R China

In previous studies, the numerical simulation models of industrial airbags were verified to have high accuracy regarding their actual dynamics. However, numerical methods were scarcely utilized to simulate and investigate the inflation height behaviors of nursing bed airbag. For this problem, this study constructs a numerical simulation model illustrating the association between the internal pressure and inflating height of nursing bed airbag, under various external loads. Firstly, based on an averaged pressure prerequisite, an airbag dynamic model is established by the control volume approach (the air inside the airbag follows the gas state equation of Poisson's law). Besides, the elastic mechanical behaviors of airbag film material are determined according to a material constitutive model built by the quasi-static uniaxial tensile test. The obtained data are used as the boundary conditions, for the numerical dynamics modeling of the nursing bed airbag. Verification experiments clarify that this numerical modeling is accurate for describing airbag inflation behaviors, and then can be effectively applied to the design and optimization phases of nursing bed airbags. Based on the simulation modeling above, the mathematical equation of controlling airbag inflating height by its internal pressure is obtained. It provides a vital basis for the differentiated and intelligent control of the airbag nursing bed.

关键词： Airbag nursing bed Numerical modeling Control volume method Airbag internal pressure Inflating height

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All-Printed 3D Solid-State Rechargeable Zinc-Air Microbatteries

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ACS APPLIED MATERIALS & INTERFACES 2023年第10期15卷 13073-13085页

作者： Liu, Gengsheng Ma, Zhaolei Li, Guoxian Yu, Wei Wang, Peng Meng, Chuizhou Guo, Shijie Hebei Univ Technol Sch Mech Engn State Key Lab Reliabil & Intelligence Elect Equipm Hebei Key Lab Smart Sensing & Human Robot Interact Tianjin 300401 Peoples R China

Lightweight, compact, integrated, and miniaturized energy devices are under high pursuit for portable and wearable electronics. However, improving the energy density per area still remains a long-standing challenge. Herein, we report the design and fabrication of a solid-state zinc-air microbattery (ZAmB) by a facile 3D direct printing technique. The interdigital electrodes, gel electrolyte, and encapsulation frame are all printed with a customized design by optimzing the composition of the printing inks to obtain the best battery performance. Multiple layers of interdigital electrodes are sequentially printed with a fine overlap to achieve an ultrahigh thickness of 2.5 mm for a remarkably increased specific areal energy of up to 77.2 mWh cm-2. To meet the practical powering requirements for different output voltages and currents, battery modules consisting of individual ZAmBs connected in series or parallel or a combination of the two are printed with a facile integration to external loads. Powering of LEDs, digital watch, and a miniature rotary motor and even charging of a smartphone by the printed ZAmB modules are successfully demonstrated. The versatile 3D direct printing technique enables the fabricated ZAmBs with an adjustable form factor and integration capability with other electronics, paving the way for exploring new energy systems with diverse structures and extended functionalities.

关键词： zinc-air battery microbattery 3D printing solid-state interdigital electrode gel polymer electrolyte

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Rechargeable Self-Powered pressure sensor based on Zn-ion battery with high sensitivity and Broad-Range response

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CHEMICAL ENGINEERING JOURNAL 2024年 497卷

作者： Hu, Yong-Peng Liu, Kai-Yang Bai, Ruo-Ning Liu, Da-Zhuang Yu, Wei Meng, Chui-Zhou Li, Guo-Xian Guo, Shi-Jie Hebei Univ Technol Engn Res Ctr Hebei Key Lab Smart Sensing & Human Robot Interact Minist Educ Intelligent Rehabil Equipment & Detect 5340 Xiping Rd Tianjin 300401 Peoples R China

Flexible pressure sensors find broad applications in electronic skin, human-computer interaction, and health monitoring. However, developing self-powered flexible sensors capable of detecting both dynamic and static pressures with high sensitivity and a wide detection range remains a significant challenge. Here, we report the design and fabrication of a new rechargeable Zn-ion battery-type flexible self-powered pressure sensor (RZIBFPS). In the device, the anode of a flexible Zn-ion battery is designed into a sandwich configuration with a porous isolation layer in between a conductive layer decorated with polymethylmethacrylate microspheres and a flexible Zn electrode. The self-powered pressure sensing mechanism relies on the variation in output voltage resulting from the resistance change of the anode when subjected to external pressure. This RZIB-FPS exhibits an open-circuit voltage of 1.46 V, an energy density of 392 mu Wh cm(-2), a high sensitivity (up to 42.6 mV kPa(-1)), a wide pressure detection range (up to 330 kPa), and excellent cycling stability (up to 12,000 cycles). Furthermore, the proposed all-in-one device design demonstrates excellent charge-discharge performance, manifesting its high integration level and potential for sensor miniaturization. This study introduces a new strategy for developing high-performance sensors for future self-powered smart wearable electronics.

关键词： Flexible pressure sensor Zn-ion battery Self-powered sensor Rechargeability

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An Effective Recognition Method for Particle Coincidence in Double Differential Impedance Cytometry

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IEEE SENSORS JOURNAL 2023年第16期23卷 18070-18080页

作者： Li, Shanshan Wang, Chao Yang, Bowen Liang, Xinyi Li, Junwei Hebei Univ Technol Sch Mech Engn Hebei Key Lab Smart Sensing & Human Robot Interact State Key Lab Reliabil & Intelligence Elect Equipm Tianjin 300130 Peoples R China Hebei Univ Technol Sch Mech Engn Hebei Key Lab Smart Sensing & Human Robot Interact Tianjin 300130 Peoples R China Hebei Univ Technol Inst Biophys Sch Hlth Sci & Biomed Engn Tianjin 300401 Peoples R China

As a label-free single cell analysis approach, impedance flow cytometry provides valuable information by differential signals. However, for high throughput purpose, particle coincidence is inevitable especially when the cell concentration or pumping rate is too high. In this work, we proposed the first numerical model and a novel method for particle coincidence. To investigate the multiparticle events, a double differential impedance sensor is used. From a statistic analysis of signal peaks, we could determine the threshold of particle events and then read out particle numbers. Compared with customized threshold, the data-driven cutoff line fundamentally improves the accuracy of particle recognition. Herein, the key operation parameters that influence the particle coincidence including sample concentration, driven pressure (stands for pumping rate), and sensor configuration are elucidated. Moreover, a guide to the best practices to avoid multiparticle coincidence events is suggested for real applications.

关键词： Double differential impedance flow cytometry multiparticle particle coincidence

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Bayesian Algorithm-Based Force Profiles Optimization of Hip-Assistive Soft Exosuits Under Variable Walking Speeds

IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS

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IEEE TRANSACTIONS ON MEDICAL robotICS AND BIONICS 2024年第3期6卷 1232-1244页

作者： Chen, Qiang Wang, Jiaxin Xiang, Qian Guo, Shijie Hebei Univ Technol Engn Res Ctr Hebei Key Lab Robot Sensing & Human Robot Interact Sch Mech EngnMinist Educ Intelligent Rehabil Equi Tianjin 300401 Peoples R China Hebei Univ Technol Sch Mech Engn Tianjin 300401 Peoples R China Fudan Univ Inst Robot & AI Shanghai 200437 Peoples R China

Relevant research highlights humans' capacity to continuously adapt their walking speed to minimize metabolic energy consumption during overground free walking. Past studies have shown that soft exosuits assisting in hip flexion and extension can reduce metabolic costs and regulate gait parameters during human locomotion. This emphasizes the need to fine-tune hip exosuit parameters to align with walking speed, thereby enhancing metabolic efficiency. This study aims to optimize assistive force parameters of hip exosuits across different walking speeds, providing insights for optimizing force profiles in outdoor walking. We employed a human-in-the-loop approach with Bayesian optimization to determine optimal force profiles for hip assistance. Six subjects performed treadmill walking at four fixed speeds (0.84, 1.16, 1.48, and 1.8 m/s), optimizing control parameters for each speed and establishing a Bayesian experience (BXE) linking walking speed to optimal parameters. Furthermore, we developed a real-time force optimization controller based on the BXE for adjusting the force parameters of assistance. Outdoor walking experiments with the same subjects showed that BXE-optimized profiles significantly reduced metabolic costs compared to fixed profiles. This study underscores the importance of optimizing assistive forces for varying walking speeds in humans.

关键词： Optimization Legged locomotion Force Hip Bayes methods Timing Costs Soft exosuits hip assistance Bayesian optimization human-in-the-loop metabolic cost

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Periodic event-triggered sliding mode control for lower limb exoskeleton based on human-robot cooperation

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ISA TRANSACTIONS 2022年 123卷 87-97页

作者： Wang, Jie Liu, Jiahao Zhang, Gaowei Guo, Shijie Univ Sci & Technol Beijing Inst Artificial Intelligence Beijing 100083 Peoples R China Hebei Univ Technol Sch Artificial Intelligence Tianjin 300130 Peoples R China Hebei Key Lab Robot Sensing & Human Robot Interac Tianjin 300130 Peoples R China

This paper presents a periodic event-triggered sliding mode control (SMC) scheme based on humanrobot cooperation for lower limb exoskeletons. Firstly, a Genetic Algorithm-Back propagation (GA-BP) neural network is proposed to estimate the motion intention of the wearer through electromyography (EMG) signals. Secondly, the periodic event-triggered SMC strategy based on tanh function is designed to ensure the asymptotic convergence of the exoskeleton system and save communication resources, where the detailed expressions of sampling period and control gain are designed. Finally, comparative simulation and experimental analysis is presented to verify the effectiveness of the proposed control method. (C) 2021 Published by Elsevier Ltd on behalf of ISA.

关键词： Lower limb exoskeleton Genetic algorithm Sliding mode control Periodic event-triggered strategy Asymptotic convergence

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Recent Advances of Signal Acquisition Approaches for Microfluidic Impedance Flow Cytometry

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IEEE NANOTECHNOLOGY MAGAZINE 2025年第1期19卷 4-15页

作者： Li, Shanshan Pang, Sheng Li, Ruohan Li, Junwei State Key Lab Reliabil & Intelligence Elect Equipm Tianjin 300401 Peoples R China Hebei Univ Technol Sch Mech Engn Hebei Key Lab Robot Sensing & Human Human Robot In Tianjin 300401 Peoples R China Hebei Univ Technol Sch Mech Engn Tianjin 300401 Peoples R China Sch Hlth Sci & Biomed Engn Inst Biophys Tianjin 300401 Peoples R China

Microfluidic impedance flow cytometry (IFC) is a widely used technique for high-throughput analysis and single-cell identification, analyzing cells based on their electrical properties without the need for chemical markers like fluorescent dyes. The emergence of microfluidic-based single-cell analysis has become a critical tool in biology, providing researchers with unparalleled precision in decoding microscopic cellular information through its high-throughput processing capabilities and precise single-cell manipulation. This microfluidic technology offers several unique advantages over conventional flow cytometry systems, including self-contained design, single-use disposability, and user-friendliness. Moreover, IFC technology surpasses conventional flow cytometry by reducing reagent costs, decreasing labor intensity, and enhancing economic *** advancements in microfluidic technology have facilitated the development of novel electrode configurations and channel designs, which form a robust foundation for multi-parametric characterization, cell counting, and sorting at the single-cell level. This review focuses on recent milestones achieved in this field, with a specific emphasis on hardware-level advancements in signal acquisition methodologies employed in microfluidic impedance flow cytometry. In particular, it meticulously explores how enhancements in electrode arrangements and microfluidic channel architectures have enabled the characterization of cells and particles based on mechanical and electrical parameters. Furthermore, various improved protocols are discussed to enhance the sensitivity and efficiency of cellular analysis, along with the exploration of future research directions, including the pursuit of higher sensitivity, increased throughput, and broader applications.

关键词： Electrodes Microfluidics Impedance Cytometry Metals Impedance measurement Microchannels Microelectrodes Fabrication Costs

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