- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
[Advances in Intelligent Systems and Computing] Information Systems Design and Intelligent Applications Volume 862 (Proceedings of Fifth International Conference INDIA 2018 Volume 1) || Suppression of Artifacts for Mobile ICG Using Nonlinear Adaptive Algorithms
摘要： Impedance cardiography (ICG) is advantageous to identify various heart diseases. In recent times, mobile ICG has grabbed the attention of researchers and analysts for real-time supervision and automatic diagnosis. However, the attainment of ICG’s survey system was degraded due to many interrupts created by subject movement, which paves to wrong diagnosis. Several attempts have been performed to abolish the noise from clinical ICG signal using distinct digital signal processing techniques. Those approaches are not directly synced to be used for the mobile ICG environment and regular noises. Basically, motion artifact still is an open problem in mobile ICG. In this paper, an advanced process of adaptive artifact elimination proposed through impedance cardiography (ICG) signals. This is a composite exemplary based on wavelets and adaptive filter. The prime aspect of this methodology is the realization of adaptive noise canceller (ANC) without any reference signal. In the real-time medical environment during critical conditions due to heartbeat disorders, the filter coefficients become negative. This convergence unbalance leads to low filtering capability. In order to solve this issue, one may incorporate NN adaptive algorithms in the suggested ANC. To enhance the attainment of ANC, error normalization is adapted to change filter coefficients automatically. Again, in order to minimize computational complexity and to avoid overlapping of data samples at the input stage of the filter, a hybrid version of nonnegative and sign sign-based algorithms is considered for implementation. The resulting hybrid versions are exponential normalized nonnegative least mean square (eN 3LMS) algorithm, exponential normalized nonnegative sign regressor LMS (eN 3SRLMS) algorithm, exponential normalized nonnegative sign error LMS (eN 3SELMS) algorithm, and exponential normalized nonnegative sign sign LMS (eN 3SSLMS) algorithm. Finally, various ANCs are developed using these algorithms, and attainment measures are calculated and compared. Several implemented ANCs are verified on real impedance cardiogram signals.
关键词： Cardiovascular issues,Impedance cardiogram,Nonnegative algorithm,Remote healthcare artifact canceller
更新于2025-09-23 15:23:52
-
Organic Field-Effect Transistor Based Ultrafast, Flexible, Physiological Temperature Sensors with Hexagonal Barium Titanate Nanocrystals in Amorphous Matrix as Sensing Material.
摘要： Organic field-effect transistors (OFETs) with hexagonal barium titanate nanocrystals in amorphous matrix (h-BTNC) as one of the bilayer dielectric system have been fabricated on a highly flexible 10 μm thick polyethylene terephthalate (PET) substrates. The device current and mobility remains same upto a bending radius of 4mm that make it suitable for wearable e-skin applications. h-BTNC films found to be highly temperature sensitive and the OFETs designed based on this material showed ultra-precession (~4.3 mK), low power (~ 1μW at 1.2 V operating voltage), ultrafast response (~24 ms) in sensing temperature over a range from 20 °C to 45 °C continuously. The sensors are highly stable around body temperature and work at various extreme conditions, such as under water, solutions of different pH as well as of various salt concentrations. These properties make this sensor very unique and highly suitable for various healthcare and other applications, where in a small variation of temperature around this temperature range is required to be measured at an ultra-fast speed.
关键词： low power OFETs,electronic skin,temperature sensors,organic field-effect transistors,flexible sensors,healthcare sensors
更新于2025-09-23 15:23:52
-
[IEEE 2018 Innovations in Intelligent Systems and Applications (INISTA) - Thessaloniki (2018.7.3-2018.7.5)] 2018 Innovations in Intelligent Systems and Applications (INISTA) - Piezologist: A Novel Wearable Piezoelectric-based Cardiorespiratory Monitoring System
摘要： In this paper, the design, prototyping and software development of a novel wearable cardiorespiratory parameters monitoring sensor and software applications illustrated. Piezologist is an unobtrusive chest worn device. It comprises a patch-type sensor and a mobile application. The sensor utilizes piezoelectric material as the cardiorespiratory signal sensing component and MetaWearC board as the signal acquisition unit. The board also comes with Bluetooth Low Energy (BLE) support which is utilized for the raw signal transmission. The novelty aspect of the system rests on the fact that not only using a single cheap piezoelectric sheet common cardiorespiratory parameters (such as heart rate, respiration rate, and cycles) were obtained similar to previous studies but ECG waveform and blood pressure data were also extracted successfully using the same sensor. In addition, sensor packaging design and prototyping and their effect on the acquired signal strength on one hand and the package size (volume and weight) on the other hand were studied and reported. For performance validation purpose, the developed cardiorespiratory monitoring system results were validated against two commercial sensor devices namely 3-lead ECG sensor from eHealth sensor kit and Zephyr belt-type BioHarness sensor, and the results were reported herein. The validation process outcomes confirmed that the cardiorespiratory signals extracted using Piezologist conform with a heartbeat, respiratory cycle and ECG waveform obtained using the commercial sensors. Furthermore, a usability study was conducted to compare the user experience offered by Piezologist for measuring cardiorespiratory parameters against the commercially available sensors. The study highlighted the potential that Piezologist will take over the commercial available belt-type, watch-type and 3-lead ECG sensors.
关键词： biomedical signal processing,heart rate extraction,wearable sensors,Sensors,Vital signs,ECG waveform,Home healthcare,cardiorespiratory,Heartbeats,mobile healthcare,Respiration rate
更新于2025-09-23 15:22:29
-
Semi-Automatic Red Blood Cells Counting in Microscopic Digital Images
摘要： The main purpose of this study is to employ the modern technologies and techniques to semi-automate the quantification process of the Red Blood Cells in Microscopic thin blood smear digital images. The process needs to be more accurate, efficient and universal then the currently practiced methods. The study considers the process to be semi-automated for two reasons, i.e. due to the critical aspect life and due to the diverse nature of the Red Blood Cells in cluster formation. The Methodology of this study involved interactive simple cuts and morphological operations for splitting clusters of Red Blood Cells while counting is carried out through labeling matrix. The Red Blood Cells counting is part of the complete blood count test and is frequently suggested by the Physician to know the number of Red Blood Cells in the patient’s body. The proposed method considers for counting process of the Red Blood Cells first split the clusters and then count the Red Blood Cells. The proposed method achieved an overall True Positive Rate (TPR) of 0.997%, True Negative Rate (TNR) of 0.00265%, accuracy of 0.998% and average error rate of 0.001375% tested on 50 images, data set also on the same number of images linear correlation coefficient R2 is 0.997 between manual and semi-automatic counting of Red Blood Cells.
关键词： rouleaux splitting,healthcare applications,Clustered red blood cells,complete blood test,occlusions
更新于2025-09-23 15:22:29
-
Multispectral imaging: Monitoring vulnerable people
摘要： This paper describes the development of a new healthcare monitoring system for vulnerable people which uses a visible image sensor and passive infrared sensors, in an unconventional manner, to monitor daily living activities. It based on a novel method, using chromatic methodology, to process spatially and temporally the incoming multispectral data from the visible and infrared parts of the spectrum, to overcome the impact of noisy environments, illumination changes and a dynamic background. An efficient chromatic descriptor is suggested to improve activity recognition of vulnerable people. The new monitoring system is robust to distortions associated with healthcare systems and its descriptor has an improved quality of description. System performance was evaluated using a series of experimental data, the results showing the efficacy of using both spatial and temporal domains of multispectral data to deal with events that disturb monitoring systems. The chromatic descriptor achieved a better performance in comparison to traditional methods when describing daily living activities.
关键词： Raspberry Pi,Laser image segmentation,Healthcare monitoring,Multispectral imaging,Microsoft Kinect
更新于2025-09-23 15:22:29
-
[IEEE 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Krakow (2018.10.16-2018.10.18)] 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Challenges for Electronic Displays in Sterile Medical Devices
摘要： Due to the ongoing digitalization, the demand for additional data is getting more into focus of users and industry. An approach for granting more data and enabling access to additional settings and parameters is since many decades the use of displays. Especially in medical industry, screens became an essential part of the daily work of doctors and medical staff. From patient monitors to blood sugar test devices, displays are present in all shapes and functions. However, these screens are still limited to be used in devices which can’t be sterilized. This is caused by the very harsh conditions of steam sterilizations, the most common type in Europe. Hereby, temperatures up to 135 degree Celsius and 3 bar pressure occur. This work is about the investigation of possible ways to insulate the displays to prevent them from permanent damages due to steam sterilizations and have a look on the possibility of cooling down the modules. For insulation an aerogel based insulation was tested with different LCD, LED and OLED displays. The aim of this research is enabling the use of displays in medical devices which need to be controlled manually and do not give back precise feedback. Therefore, the use of displays could increase safety for patients and usability for doctors significantly.
关键词： sterilization,healthcare,cooling,insulation,displays
更新于2025-09-23 15:22:29
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - PV Curtailment Analysis to Improve Utilization of Hosting Capacity in California
摘要： Healthcare data are becoming increasingly important in the life of people. By utilizing healthcare data in a proper and secure manner, the elderly may avoid some sudden diseases, whereas young people can monitor their health condition. In the hospital, for certain sizes of detection objects, an effective method of data transmission becomes very signi?cant. In view of the movement of patients in the hospital, we introduce a type of network called incompletely predictable networks to describe such scenarios. The patients move in a certain trend or are only active in a certain limited range. To achieve high performance when transmitting healthcare data in such networks, a novel protocol called the direction density-based secure routing protocol is proposed in this paper. Both the moving direction and the in?uence of node group movement are considered. The novel protocol innovatively takes the density of the node moving direction into consideration, which makes full use of the relationships among the moving individuals. Moreover, the design of the secure routing with authenticated message transmission ensures secure healthcare data communication. The simulation shows that our protocol achieves a high packet delivery ratio with low overhead and end-to-end delay.
关键词： Direction density,secure routing protocol,healthcare data,incompletely predictable networks
更新于2025-09-23 15:21:01
-
[IEEE 2019 Compound Semiconductor Week (CSW) - Nara, Japan (2019.5.19-2019.5.23)] 2019 Compound Semiconductor Week (CSW) - Blue (In, Ga)N Light-Emitting Diodes with Buried $\boldsymbol{n}^{+}-\boldsymbol{p}^{+}$ Tunnel Junctions by Plasma-Assisted Molecular Beam Epitaxy
摘要： Recent advances in biosensors, medical instrumentation, and information processing and communication technologies (ICT) have enabled significant improvements in healthcare. However, these technologies have been mainly applied in clinical environments, such as hospitals and healthcare facilities, under managed care by well-trained and specialized individuals. The global challenge of providing quality healthcare at affordable cost leads to the proposed paradigm of Preventive, Personalized, and Precision Medicine that requires a seamless use of technology and infrastructure support for patients and healthcare providers at point-of-care (POC) locations including homes, semi or pre-clinical facilities, and hospitals. The complexity of the global healthcare challenge necessitates strong collaborative interdisciplinary synergies involving all stakeholder groups including academia, federal research institutions, industry, regulatory agencies, and clinical communities. It is critical to evolve with collaborative efforts on the translation of research to technology development toward clinical validation and potential healthcare applications. This special issue is focused on technology innovation and translational research for POC applications with potential impact in improving global healthcare in the respective areas. Some of these papers were presented at the NIH-IEEE Strategic Conference on Healthcare Innovations and POC Technologies for Precision Medicine (HI-POCT) held at the NIH on November 9–10, 2015. The papers included in the Special Issue provide a spectrum of critical issues and collaborative resources on translational research of advanced POC devices and ICT into global healthcare environment.
关键词： medical devices,personalized medicine,home based monitoring,patient monitoring,Point-of-care technologies,healthcare innovation,medical informatics,wearable devices,preventive medicine,precision medicine
更新于2025-09-23 15:19:57
-
[IEEE 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - Xiamen, China (2019.12.17-2019.12.20)] 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - Design of a Metasurface with Wide RCS Reduction Bandwidth
摘要： With the wide usage of long-term health care, research on wireless sensing system tends to focus on low power consumption. In this paper, a low-power and high-quality adaptive fuzzy resolution control system is created for wireless body sensor networks. The sampling clocks of analog-to-digital converters (ADCs) can be adaptively selected by an adaptive fuzzy resolution controller. The resolution of the detected signals can be adaptively changed according to the immediate feature of the signals. Users can set the regions of two condition-windows to create four adaptive conditions for the resolution control. The adaptive fuzzy resolution controller can produce control signals to select an appropriate sampling rate for the ADC with a fuzzy decision technique. The proposed adaptive fuzzy resolution controller was realized by VLSI implementation. It can operate at 100 MHz with only 539 gate counts, and its core area is 7124 μm2, synthesized using a 0.18-μm CMOS process. Compared with the previous work, the work presented in this paper achieved a reduction of 33.3% core area and an improved peak signal-to-noise ratio of 15.47 dB under an abnormal situation in a wireless ECG health care monitoring application.
关键词： wireless body sensor network,healthcare monitoring,Adaptive,power-efficient,fuzzy control
更新于2025-09-23 15:19:57
-
[IEEE 2019 7th International Youth Conference on Energy (IYCE) - Bled, Slovenia (2019.7.3-2019.7.6)] 2019 7th International Youth Conference on Energy (IYCE) - Analysis of losses and power quality disturbances of grid connected PV system with different load profiles
摘要： Recent advances in biosensors, medical instrumentation, and information processing and communication technologies (ICT) have enabled significant improvements in healthcare. However, these technologies have been mainly applied in clinical environments, such as hospitals and healthcare facilities, under managed care by well-trained and specialized individuals. The global challenge of providing quality healthcare at affordable cost leads to the proposed paradigm of Preventive, Personalized, and Precision Medicine that requires a seamless use of technology and infrastructure support for patients and healthcare providers at point-of-care (POC) locations including homes, semi or pre-clinical facilities, and hospitals. The complexity of the global healthcare challenge necessitates strong collaborative interdisciplinary synergies involving all stakeholder groups including academia, federal research institutions, industry, regulatory agencies, and clinical communities. It is critical to evolve with collaborative efforts on the translation of research to technology development toward clinical validation and potential healthcare applications. This special issue is focused on technology innovation and translational research for POC applications with potential impact in improving global healthcare in the respective areas. Some of these papers were presented at the NIH-IEEE Strategic Conference on Healthcare Innovations and POC Technologies for Precision Medicine (HI-POCT) held at the NIH on November 9–10, 2015. The papers included in the Special Issue provide a spectrum of critical issues and collaborative resources on translational research of advanced POC devices and ICT into global healthcare environment.
关键词： medical devices,personalized medicine,home based monitoring,patient monitoring,Point-of-care technologies,healthcare innovation,medical informatics,wearable devices,preventive medicine,precision medicine
更新于2025-09-23 15:19:57