Battery safety has emerged as a critical challenge for achieving carbon neutrality,driven by the increasing frequency of thermal runaway incidents in electric vehicles(EVs)and stationary energy storage systems(ESSs).C...Battery safety has emerged as a critical challenge for achieving carbon neutrality,driven by the increasing frequency of thermal runaway incidents in electric vehicles(EVs)and stationary energy storage systems(ESSs).Conventional battery monitoring technologies struggle to track multiple physicochemical parameters in real time,hindering early hazard detection.Embedded optical fiber sensors have gained prominence as a transformative solution for next-generation smart battery sensing,owing to their micrometer size,multiplexing capability,and electromagnetic immunity.However,comprehensive reviews focusing on their advancements in operando multi-parameter monitoring remain scarce,despite their critical importance for ensuring battery safety.To address this gap,this review first introduces a classification and the fundamental principles of advanced battery-oriented optical fiber sensors.Subsequently,it summarizes recent developments in single-parameter battery monitoring using optical fiber sensors.Building on this foundation,this review presents the first comprehensive analysis of multifunctional optical fiber sensing platforms capable of simultaneously tracking temperature,strain,pressure,refractive index,and monitoring battery aging.Targeted strategies are proposed to facilitate the practical development of this technology,including optimization of sensor integration techniques,minimizing sensor invasiveness,resolving the cross-sensitivity of fiber Bragg grating(FBG)through structural innovation,enhancing techno-economics,and combining with artificial intelligence(AI).By aligning academic research with industry requirements,this review provides a methodological roadmap for developing robust optical sensing systems to ensure battery safety in decarbonization-driven applications.展开更多
The multi-parameter monitor is an essential instrument in medical rescue. It realizes the dynamic monitoring of human life parameters. In the verification process of the measurement parameters of the multi-parameter m...The multi-parameter monitor is an essential instrument in medical rescue. It realizes the dynamic monitoring of human life parameters. In the verification process of the measurement parameters of the multi-parameter monitor, it aims at the verification of ECG, non-invasive blood pressure and other indicators. This paper discusses the necessity of the metrological verification of the multi-parameter monitor, analyzes the problems and countermeasures in the metrological verification of the multi-parameter monitor.展开更多
Rock bursts have become one of the most severe risks in underground coal mining and its early warning is an important component in the safety management. Microseismic(MS) monitoring is considered potentially as a powe...Rock bursts have become one of the most severe risks in underground coal mining and its early warning is an important component in the safety management. Microseismic(MS) monitoring is considered potentially as a powerful tool for the early warning of rock burst. In this study, an MS multi-parameter index system was established and the critical values of each index were estimated based on the normalized multi-information warning model of coal-rock dynamic failure. This index system includes bursting strain energy(BSE) index, time-space-magnitude independent information(TSMII) indices and timespace-magnitude compound information(TSMCI) indices. On the basis of this multi-parameter index system, a comprehensive analysis was conducted via introducing the R-value scoring method to calculate the weights of each index. To calibrate the multi-parameter index system and the associated comprehensive analysis, the weights of each index were first confirmed using historical MS data occurred in LW402102 of Hujiahe Coal Mine(China) over a period of four months. This calibrated comprehensive analysis of MS multi-parameter index system was then applied to pre-warn the occurrence of a subsequent rock burst incident in LW 402103. The results demonstrate that this multi-parameter index system combined with the comprehensive analysis are capable of quantitatively pre-warning rock burst risk.展开更多
Remote ECG monitoring systems are becoming commonplace medical devices for remote heart monitoring. In recent years, remote ECG monitoring systems have been applied in the monitoring of various kinds of heart diseases...Remote ECG monitoring systems are becoming commonplace medical devices for remote heart monitoring. In recent years, remote ECG monitoring systems have been applied in the monitoring of various kinds of heart diseases, and the quality of the transmission and re- ception of the ECG signals during remote process kept advancing. However, there remains accompanying challenges. This report focuses on the three components of the remote ECG monitoring system： patient （the end user）, the doctor workstation, and the remote server, reviewing and evaluating the imminent challenges on the wearable systems, packet loss in remote transmission, portable ECG monitoring system, pa- tient ECG data collection system, and ECG signals transmission including real-time processing ST segment, R wave, RR interval and QRS wave, etc. This paper tries to clarify the future developmental strategies of the ECG remote monitoring, which can be helpful in guiding the research and development of remote ECG monitoring.展开更多
ECG monitoring in daily life is an important means of treating heart disease. To make it easier for the medical to monitor the ECG of their patients outside the hospital, we designed and developed an ECG monitoring an...ECG monitoring in daily life is an important means of treating heart disease. To make it easier for the medical to monitor the ECG of their patients outside the hospital, we designed and developed an ECG monitoring and alarming system based on Android smart phone. In our system, an ECG device collects the ECG signal and transmits it to an Android phone. The Android phone detects alarms which come from the ECG devices. When alarms occur, Android phone will capture the ECG images and the details about the alarms, and sends them to the cloud Alarm Server (AS). Once received, AS push the messages to doctors’ phone, so the doctors could see the ECG images and alarm details on their mobile phone. In our system, high resolution ECG pictures are transmitted to doctors’ phone in a user-friendly way, which can help doctors keep track of their patient’s condition easily.展开更多
This paper presents a design of new type of multi-parameter wearable medical devices signal processing platform. The signal processing algorithm has a QRS-wave detection algorithm based on LADT, wavelet transformation...This paper presents a design of new type of multi-parameter wearable medical devices signal processing platform. The signal processing algorithm has a QRS-wave detection algorithm based on LADT, wavelet transformation and threshold detection with TMS320VC5509 DSP system. The DSP can greatly increase the speed of QRS-wave detection, and the results can be practical used for multi-parameter wearable device detection of abnormal ECG.展开更多
Some heart diseases need long-term monitoring to diagnose. In this paper, we present a wearable single lead ECG monitoring device with low power consumption based on MSP430 and single-lead ECG front-end AD8232, which ...Some heart diseases need long-term monitoring to diagnose. In this paper, we present a wearable single lead ECG monitoring device with low power consumption based on MSP430 and single-lead ECG front-end AD8232, which could acquire and store patient’s ECG data for 7 days continuously. This device is available for long-term wearing with a small volume. Also, it could detect user’s motion status with an acceleration sensor and supports Bluetooth 4.0 protocol. So it could be expanded to be a dynamic heart rate monitor and/or sleep quality monitor combined with smart phone. The device has huge potential of application for health care of human daily life.展开更多
Objective: to use remote real-time ECG monitoring for patients with cardiovascular diseases and to observe the effect of this method in ECG critical value treatment. Methods: 146 patients with cardiovascular diseases ...Objective: to use remote real-time ECG monitoring for patients with cardiovascular diseases and to observe the effect of this method in ECG critical value treatment. Methods: 146 patients with cardiovascular diseases in our department from January 2019 to December 2020 were taken as observation objects and divided into the first group and the second group. Remote real-time ECG monitoring and routine ECG monitoring were used respectively to compare the monitoring effects of the two kinds of ECG. Results: (1) the positive and negative detection rates of critical values in the first and second groups were 36.98% and 63.01% in the first group and 15.06% and 84.93% in the second group respectively (χ2 = 23.203,P = 0.000). The results were different. (2) In the comparison of the treatment time of ECG critical value between the first group and the second group, the first group is 7.56±1.64(min) and the second group is 7.85±1.72(min), (t = 0.538,P = 0.361), the results are not different. Conclusion: the remote real-time ECG monitoring for patients with cardiovascular diseases is effective, and this method can be popularized.展开更多
This paper proposes a batteryless sensing and computational device to collect and process electrocardiography(ECG)signals for monitoring heart rate variability(HRV).The proposed system comprises of a passive UHF radio...This paper proposes a batteryless sensing and computational device to collect and process electrocardiography(ECG)signals for monitoring heart rate variability(HRV).The proposed system comprises of a passive UHF radio frequency identification(RFID)tag,an extreme low power microcontroller,a low-power ECG circuit,and a radio frequency(RF)energy harvester.The microcontroller and ECG circuits consume less power of only~30μA and~3 mA,respectively.Therefore,the proposed RF harvester operating at frequency band of 902 MHz~928 MHz can sufficiently collect available energy from the RFID reader to supply power to the system within a maximum distance of~2 m.To extract R-peak of the ECG signal,a robust algorithm that consumes less time processing is also developed.The information of R-peaks is stored into an Electronic Product Code(EPC)Class 1st Generation 1st compliant ID of the tag and read by the reader.This reader is functioned to collected the R-peak data with sampling rate of 100ms;therefore,the user application can monitor fully range of HRV.The performance of the proposed system shows that this study can provide a good solution in paving the way to new classes of healthcare applications.展开更多
连续血糖监测在糖尿病管理中具有重要的意义.目前糖尿病患者主要通过指尖采血或植入式微创传感器监测血糖,但上述方法存在疼痛、成本昂贵、易感染等问题,因此,无创监测是实现连续血糖监测的理想技术.本文利用心电(ECG)信号,提出了一种...连续血糖监测在糖尿病管理中具有重要的意义.目前糖尿病患者主要通过指尖采血或植入式微创传感器监测血糖,但上述方法存在疼痛、成本昂贵、易感染等问题,因此,无创监测是实现连续血糖监测的理想技术.本文利用心电(ECG)信号,提出了一种血糖水平无创监测的方法:通过获取12名志愿者共60 d 756160个ECG周期信号,利用递归滤波器实现ECG信号的滤波,并采用卷积神经网络和长短期记忆网络相结合(CNN-LSTM)的方法,实现了血糖水平的十分类监测,并通过实验探索了个体建模和群体建模2种建模方式的差异.结果表明,在个体建模和群体建模的条件下,血糖监测精确率分别约达到80%和88%.其中群体建模10分类的F1值可达到0.95、0.88、0.91、0.85、0.92、0.88、0.86、0.86、0.87和0.86.研究表明,本文提出的基于ECG的无创血糖监测方法为实现血糖水平的实时、精准监测提供了一种有力的理论支撑与技术指导.展开更多
针对家庭及社区的医疗监护系统需求,设计了一种基于物联网(Internet of Thing,IoT)的多导联心电信号(electrocardiogram,ECG)实时监测系统。本系统利用ADS1298前端实时采集ECG,通过蓝牙和Wi-Fi模块将信号分别发送给Android客户端和云服...针对家庭及社区的医疗监护系统需求,设计了一种基于物联网(Internet of Thing,IoT)的多导联心电信号(electrocardiogram,ECG)实时监测系统。本系统利用ADS1298前端实时采集ECG,通过蓝牙和Wi-Fi模块将信号分别发送给Android客户端和云服务器。在客户端中实现了ECG数据接收、数据解码、中值滤波、LMS自适应限波、QRS波检测以及ECG波形和诊断结果的显示;在云服务器中建立了数据库,用于保存用户的心电数据;还挂载了基于卷积神经网络的疾病诊断模型,可对用户心脏健康状态进行实时监测。展开更多
基金the financial supports of the National Natural Science Foundation of China(No.52372200)a project supported by the State Key Laboratory of Mechanics and Control for Aerospace Structures(No.MCAS-S-0324G01)。
文摘Battery safety has emerged as a critical challenge for achieving carbon neutrality,driven by the increasing frequency of thermal runaway incidents in electric vehicles(EVs)and stationary energy storage systems(ESSs).Conventional battery monitoring technologies struggle to track multiple physicochemical parameters in real time,hindering early hazard detection.Embedded optical fiber sensors have gained prominence as a transformative solution for next-generation smart battery sensing,owing to their micrometer size,multiplexing capability,and electromagnetic immunity.However,comprehensive reviews focusing on their advancements in operando multi-parameter monitoring remain scarce,despite their critical importance for ensuring battery safety.To address this gap,this review first introduces a classification and the fundamental principles of advanced battery-oriented optical fiber sensors.Subsequently,it summarizes recent developments in single-parameter battery monitoring using optical fiber sensors.Building on this foundation,this review presents the first comprehensive analysis of multifunctional optical fiber sensing platforms capable of simultaneously tracking temperature,strain,pressure,refractive index,and monitoring battery aging.Targeted strategies are proposed to facilitate the practical development of this technology,including optimization of sensor integration techniques,minimizing sensor invasiveness,resolving the cross-sensitivity of fiber Bragg grating(FBG)through structural innovation,enhancing techno-economics,and combining with artificial intelligence(AI).By aligning academic research with industry requirements,this review provides a methodological roadmap for developing robust optical sensing systems to ensure battery safety in decarbonization-driven applications.
文摘The multi-parameter monitor is an essential instrument in medical rescue. It realizes the dynamic monitoring of human life parameters. In the verification process of the measurement parameters of the multi-parameter monitor, it aims at the verification of ECG, non-invasive blood pressure and other indicators. This paper discusses the necessity of the metrological verification of the multi-parameter monitor, analyzes the problems and countermeasures in the metrological verification of the multi-parameter monitor.
基金provided by the State Key Research Development Program of China (No.2016YFC0801403)Key Research Development Program of Jiangsu Provence (No.BE2015040)+1 种基金National Natural Science Foundation of China (Nos.51674253,51734009 and 51604270)Natural Science Foundation of Jiangsu Province (No.BK20171191)
文摘Rock bursts have become one of the most severe risks in underground coal mining and its early warning is an important component in the safety management. Microseismic(MS) monitoring is considered potentially as a powerful tool for the early warning of rock burst. In this study, an MS multi-parameter index system was established and the critical values of each index were estimated based on the normalized multi-information warning model of coal-rock dynamic failure. This index system includes bursting strain energy(BSE) index, time-space-magnitude independent information(TSMII) indices and timespace-magnitude compound information(TSMCI) indices. On the basis of this multi-parameter index system, a comprehensive analysis was conducted via introducing the R-value scoring method to calculate the weights of each index. To calibrate the multi-parameter index system and the associated comprehensive analysis, the weights of each index were first confirmed using historical MS data occurred in LW402102 of Hujiahe Coal Mine(China) over a period of four months. This calibrated comprehensive analysis of MS multi-parameter index system was then applied to pre-warn the occurrence of a subsequent rock burst incident in LW 402103. The results demonstrate that this multi-parameter index system combined with the comprehensive analysis are capable of quantitatively pre-warning rock burst risk.
文摘Remote ECG monitoring systems are becoming commonplace medical devices for remote heart monitoring. In recent years, remote ECG monitoring systems have been applied in the monitoring of various kinds of heart diseases, and the quality of the transmission and re- ception of the ECG signals during remote process kept advancing. However, there remains accompanying challenges. This report focuses on the three components of the remote ECG monitoring system： patient （the end user）, the doctor workstation, and the remote server, reviewing and evaluating the imminent challenges on the wearable systems, packet loss in remote transmission, portable ECG monitoring system, pa- tient ECG data collection system, and ECG signals transmission including real-time processing ST segment, R wave, RR interval and QRS wave, etc. This paper tries to clarify the future developmental strategies of the ECG remote monitoring, which can be helpful in guiding the research and development of remote ECG monitoring.
文摘ECG monitoring in daily life is an important means of treating heart disease. To make it easier for the medical to monitor the ECG of their patients outside the hospital, we designed and developed an ECG monitoring and alarming system based on Android smart phone. In our system, an ECG device collects the ECG signal and transmits it to an Android phone. The Android phone detects alarms which come from the ECG devices. When alarms occur, Android phone will capture the ECG images and the details about the alarms, and sends them to the cloud Alarm Server (AS). Once received, AS push the messages to doctors’ phone, so the doctors could see the ECG images and alarm details on their mobile phone. In our system, high resolution ECG pictures are transmitted to doctors’ phone in a user-friendly way, which can help doctors keep track of their patient’s condition easily.
文摘This paper presents a design of new type of multi-parameter wearable medical devices signal processing platform. The signal processing algorithm has a QRS-wave detection algorithm based on LADT, wavelet transformation and threshold detection with TMS320VC5509 DSP system. The DSP can greatly increase the speed of QRS-wave detection, and the results can be practical used for multi-parameter wearable device detection of abnormal ECG.
文摘Some heart diseases need long-term monitoring to diagnose. In this paper, we present a wearable single lead ECG monitoring device with low power consumption based on MSP430 and single-lead ECG front-end AD8232, which could acquire and store patient’s ECG data for 7 days continuously. This device is available for long-term wearing with a small volume. Also, it could detect user’s motion status with an acceleration sensor and supports Bluetooth 4.0 protocol. So it could be expanded to be a dynamic heart rate monitor and/or sleep quality monitor combined with smart phone. The device has huge potential of application for health care of human daily life.
文摘Objective: to use remote real-time ECG monitoring for patients with cardiovascular diseases and to observe the effect of this method in ECG critical value treatment. Methods: 146 patients with cardiovascular diseases in our department from January 2019 to December 2020 were taken as observation objects and divided into the first group and the second group. Remote real-time ECG monitoring and routine ECG monitoring were used respectively to compare the monitoring effects of the two kinds of ECG. Results: (1) the positive and negative detection rates of critical values in the first and second groups were 36.98% and 63.01% in the first group and 15.06% and 84.93% in the second group respectively (χ2 = 23.203,P = 0.000). The results were different. (2) In the comparison of the treatment time of ECG critical value between the first group and the second group, the first group is 7.56±1.64(min) and the second group is 7.85±1.72(min), (t = 0.538,P = 0.361), the results are not different. Conclusion: the remote real-time ECG monitoring for patients with cardiovascular diseases is effective, and this method can be popularized.
基金supported by FPT University,Hanoi,Vietnamand Nguyen Tat Thanh University,Ho Chi Minh City,Vietnam.
文摘This paper proposes a batteryless sensing and computational device to collect and process electrocardiography(ECG)signals for monitoring heart rate variability(HRV).The proposed system comprises of a passive UHF radio frequency identification(RFID)tag,an extreme low power microcontroller,a low-power ECG circuit,and a radio frequency(RF)energy harvester.The microcontroller and ECG circuits consume less power of only~30μA and~3 mA,respectively.Therefore,the proposed RF harvester operating at frequency band of 902 MHz~928 MHz can sufficiently collect available energy from the RFID reader to supply power to the system within a maximum distance of~2 m.To extract R-peak of the ECG signal,a robust algorithm that consumes less time processing is also developed.The information of R-peaks is stored into an Electronic Product Code(EPC)Class 1st Generation 1st compliant ID of the tag and read by the reader.This reader is functioned to collected the R-peak data with sampling rate of 100ms;therefore,the user application can monitor fully range of HRV.The performance of the proposed system shows that this study can provide a good solution in paving the way to new classes of healthcare applications.
文摘连续血糖监测在糖尿病管理中具有重要的意义.目前糖尿病患者主要通过指尖采血或植入式微创传感器监测血糖,但上述方法存在疼痛、成本昂贵、易感染等问题,因此,无创监测是实现连续血糖监测的理想技术.本文利用心电(ECG)信号,提出了一种血糖水平无创监测的方法:通过获取12名志愿者共60 d 756160个ECG周期信号,利用递归滤波器实现ECG信号的滤波,并采用卷积神经网络和长短期记忆网络相结合(CNN-LSTM)的方法,实现了血糖水平的十分类监测,并通过实验探索了个体建模和群体建模2种建模方式的差异.结果表明,在个体建模和群体建模的条件下,血糖监测精确率分别约达到80%和88%.其中群体建模10分类的F1值可达到0.95、0.88、0.91、0.85、0.92、0.88、0.86、0.86、0.87和0.86.研究表明,本文提出的基于ECG的无创血糖监测方法为实现血糖水平的实时、精准监测提供了一种有力的理论支撑与技术指导.
文摘针对家庭及社区的医疗监护系统需求,设计了一种基于物联网(Internet of Thing,IoT)的多导联心电信号(electrocardiogram,ECG)实时监测系统。本系统利用ADS1298前端实时采集ECG,通过蓝牙和Wi-Fi模块将信号分别发送给Android客户端和云服务器。在客户端中实现了ECG数据接收、数据解码、中值滤波、LMS自适应限波、QRS波检测以及ECG波形和诊断结果的显示;在云服务器中建立了数据库,用于保存用户的心电数据;还挂载了基于卷积神经网络的疾病诊断模型,可对用户心脏健康状态进行实时监测。
