检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

148 篇 会议
6 篇 期刊文献

馆藏范围

154 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

87 篇 工学
- 60 篇 生物医学工程（可授...
- 26 篇 电气工程
- 21 篇 计算机科学与技术...
- 12 篇 仪器科学与技术
- 8 篇 信息与通信工程
- 7 篇 材料科学与工程（可...
- 7 篇 软件工程
- 7 篇 生物工程
- 5 篇 控制科学与工程
- 4 篇 机械工程
- 3 篇 化学工程与技术
- 2 篇 电子科学与技术（可...
- 1 篇 光学工程
- 1 篇 冶金工程
- 1 篇 轻工技术与工程
- 1 篇 环境科学与工程（可...
- 1 篇 安全科学与工程
50 篇 理学
- 32 篇 物理学
- 14 篇 生物学
- 7 篇 化学
- 2 篇 数学
- 1 篇 统计学（可授理学、...
13 篇 医学
- 11 篇 基础医学(可授医学...
- 10 篇 临床医学
- 6 篇 药学(可授医学、理...
- 5 篇 公共卫生与预防医...
5 篇 管理学
- 3 篇 管理科学与工程(可...
- 2 篇 工商管理
- 2 篇 图书情报与档案管...
3 篇 农学
- 3 篇 作物学

主题

63 篇 biomedical monit...
38 篇 monitoring
23 篇 temperature sens...
17 篇 real-time system...
14 篇 intelligent sens...
12 篇 temperature meas...
12 篇 medical services
12 篇 electrocardiogra...
11 篇 sensor systems
11 篇 heart rate
11 篇 sensors
9 篇 wireless sensor ...
9 篇 wearable sensors
9 篇 skin
8 篇 wearable devices
7 篇 wireless communi...
7 篇 electrodes
7 篇 accuracy
6 篇 internet of thin...
5 篇 sensor

机构

2 篇 shanghai jiao to...
2 篇 suzhou institute...
2 篇 swiss fed inst t...
2 篇 univ zurich inst...
2 篇 missouri univ sc...
2 篇 univ florida dep...
2 篇 xi an jiao tong ...
2 篇 missouri univ sc...
2 篇 school of electr...
2 篇 department of bi...
2 篇 missouri univ sc...
2 篇 shenzhen ninenov...
2 篇 temple univ cont...
1 篇 department of el...
1 篇 univ texas arlin...
1 篇 purdue univ dept...
1 篇 us naval res lab...
1 篇 department of cs...
1 篇 faculty of elect...
1 篇 department of it...

作者

3 篇 choa fow-sen
2 篇 cargill allison ...
2 篇 won chang-hee
2 篇 han-yen yu
2 篇 guoxing wang
2 篇 kim chang-soo
2 篇 su ching hua
2 篇 arnold bradley
2 篇 zhou shihong
2 篇 li zhihong
2 篇 ma yongqiang
2 篇 indiveri giacomo
2 篇 donati elisa
2 篇 hao wu
2 篇 zheng nanning
2 篇 shihong zhou
2 篇 li qin
2 篇 shrestha s.
2 篇 ren pengju
2 篇 jiann-jone chen

语言

152 篇 英文
2 篇 中文

检索条件"任意字段=Conference on Smart Biomedical and Physiological Sensor Technology XI"

共 154 条记录，以下是91-100 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

smart non-invasive wireless physiological monitoring system

Smart non-invasive wireless physiological monitoring system

引用

International conference on Embedded Systems (ICES)

作者： Pallavi K. Bhagwat Harshali Zodpe Electronics and Telecomm. Maharashtra Institute of Technology Pune India

In a country like India, patients are monitored in their recovery period, so the cost of hospitalization is also increasing day by day. The physiological parameters like body temperature, heart beat rate are monitored during recovery period of patients. This is done using a “smart Non-Invasive Wireless physiological Monitoring System”, where patients are monitored remotely. Impact sensors are used, which detects the fall of patients, so that immediate help is provided to them. In this paper the temperature, heart beat rate and impact sensors are used to measure physiological parameters which are then analysed and transmitted to PC through ZIGBEE wirelessly. Using GUI, parameters are monitored on PC by medical professionals. The high fluctuations in the parameters will be reported to doctors as a critical condition through GSM.

关键词： Temperature sensors biomedical monitoring Monitoring Temperature measurement Zigbee Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Toward constructing a user-environment interface for a smart light-mobile wheelchair

Toward constructing a user-environment interface for a smart...

引用

IEEE/ASME (AIM) International conference on Advanced Intelligent Mechatronics

作者： Han-Yen Yu Jiann-Jone Chen Chung-Hsien Kuo Department of Electrical Engineering National Taiwan University of Science and Technology Taiwan

Automatic and intelligent health care service becomes important with the growth of aged population. To achieve intelligent mobility for a smart wheelchair, we proposed to construct a user-environment interface that users can interact with the living environment like a normal healthy person. An integrated interactive platform, including touch control panel, together with several cameras, and wireless sensors, is embedded on a wheelchair to achieve friendly interaction. Interaction functions, such as appliance control, semi-automatic vision assistant function, and physiological information monitoring function etc. have been developed. The target of light mobility is achieved and the overall smart wheelchair system comprise: a mobile vehicle, information sensor modules, analysis control modules and an image capture unit which is set towards the headrest direction of the mobile vehicle to capture a user's facial image data. The physiological information sensor module is used for sensing at least one physiological data of the user. The analysis control module outputs a seamless monitoring signal to a caregiver side in response to the image data or the at least one physiological data. These user-environment interaction functions are developed under the design target of human technology that the wheelchair user can interact with the environment like a normal person.

关键词： Cameras Face Graphical user interfaces biomedical monitoring sensors Wheelchairs Monitoring

来源：评论

学校读者我要写书评

暂无评论

The human-environment interface design with a vision assistance module or a smart wheelchair

The human-environment interface design with a vision assista...

引用

International conference on Advanced Robotics and Intelligent Systems (ARIS)

作者： Han-Yen Yu Jiann-Jone Chen Chung-Hsien Kuo National Taiwan University of Science and Technology Taipei Taiwan

Automatic and intelligent health care service becomes important with the growth of aged population. To achieve intelligent mobility for a smart wheelchair, we proposed to construct a friend user-environment interface that users can interact with the living environment like a normal healthy person. An integrated interactive platform, including touch control panel, together with several cameras, and wireless sensors, is embedded on a wheelchair to achieve human interaction. Interaction functions, such as appliance control, semi-automatic vision assistant function, and physiological information monitoring function etc. have been developed to achieve the target. The goal of light mobility can be reached and the overall smart wheelchair system comprises: a mobile vehicle, information sensor modules, analysis control modules and an image capture unit which is set towards the headrest direction of the mobile vehicle to capture human facial image data. The physiological sensor module is used for sensing user physiological data. The analysis control module seamlessly transmits monitoring signals to a caregiver side in response to the image data or physiological data. These user-environment interaction functions are developed under the design target of human technology that the wheelchair user can interact with the environment like a normal person.

关键词： sensors biomedical monitoring Face Cameras Monitoring Image color analysis Visualization

来源：评论

学校读者我要写书评

暂无评论

Design of a Multi-sensor Wearable physiological Parameters Monitoring System Using Machine Learning Algorithm

Design of a Multi-Sensor Wearable Physiological Parameters M...

引用

smart Electronics and Communication Systems (ISENSE), International conference on

作者： Aarthy Prabakaran Elizabeth Rufus School of Electronics Engineering Vellore Institute of Technology Vellore India

ISBN: (数字)9798331528126

ISBN: (纸本)9798331528133

An aging population and changing lifestyles have led to an increase in health problems, necessitating a robust and scalable medical system. A healthy society can be fostered by implementing a comprehensive health tracking system that enables early disease detection and continuous remote healthcare monitoring. This can be achieved by employing a wearable healthcare monitoring system, that can assist the medical sector in reducing hospitalizations and facilitating early diagnosis. To address this need, a Wearable physiological Monitoring System (W-PMS) is proposed in this study. A prototype has been developed with the capability to record electrocardiography (ECG), photoplethysmography (PPG), and body temperature, and calculate crucial vital parameters such as heart rate, saturation of peripheral oxygen (SpO2) level, and blood pressure (BP). The W-PMS comprises three sensor modules integrated with a microcontroller to collect the physiological data. The acquired physiological data are processed by the microcontroller to calculate certain parameters such as heart rate and SpO2 level. The acquired data are pushed to the cloud to estimate the BP through an indigenous Android application. The data transmission between the microcontroller and the application occurs via Bluetooth communication. The final results are visualized on a mobile device, enabling users to track their health status. In conclusion, wearable devices incorporating biomedical sensors have the potential to remotely monitor an individual's health condition.

关键词： Temperature measurement Temperature sensors Heart rate Microcontrollers Medical services Electrocardiography biomedical monitoring Wearable devices Monitoring Medical diagnostic imaging

来源：评论

学校读者我要写书评

暂无评论

A Study on the Development of Portable Wireless Multi-channel physiological Signal Measurement System

A Study on the Development of Portable Wireless Multi-channe...

引用

IEEE International conference on Awareness Science and technology

作者： Shing-Hong Liu Shao-Heng Lai Tai-Shen Huang Department of Computer Science and Information Engineering Chaoyang University of Technology Taichung Taiwan Department of Industrial Design Chaoyang University of Technology Taichung Taiwan

Multi-channel physiological signal measurement systems that are available at the moment are usually wired ones, such as the BioPack MP150 system. The latter, however, is known for its huge size, required connection to alternated current power, lack of an independent data storage unit, and lack of wireless transmission. This study aims to develop a portable wireless physiological signal measurement system that consists of 8 channels. With TI MSP430 F5438A at its microcontroller unit, it had a compact size, lithium battery to supply the needed power, Bluetooth 3.0 data transmission, and built-in 2G flash memory, and the signals were showed on a tablet, smart phone or a notebook computer concurrently. Meanwhile, it also supported the extra power supply, ±3V for the other measurement modules. Researcher could use a self-made sensor circuit, and combined with this system to do the ubiquitous healthcare studies.

关键词： Flash memories Current measurement smart phones biomedical monitoring Wireless communication Universal Serial Bus Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Design of Wireless Based Telemonitoring System with biomedical sensor

Design of Wireless Based Telemonitoring System with Biomedic...

引用

IEEE International conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： A. O. Ogunsanya D. O. Daramola O. O. Ogunbiyi J. W. Sojobi Y. T. Oladijo S. T. Ajayi Department of Biomedical Engineering Bells University of Technology Ota Nigeria Department of Mechanical Engineering Bells University of Technology Ota Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Patient surveillance is critical in-order to decrease and/or avoid the spread of the chronic conditions. Although effective, the traditional healthcare systems of patient monitoring are limited, making it difficult for ambulatory patient seek medical care and have their physiological parameters evaluated. Advent of wireless technology and advancements in on-body sensor design have enabled a shift in the traditional health-care system. Thereby, allowing smart healthcare systems to take its place. This paper aims to describe the design and development of wireless based telemonitoring system with biomedical sensors for vulnerable individuals. Non-invasive biomedical sensors, signal condition system, Internet of Things (IoT), radio frequency module (RF) was used to implement the design. The sensors were used to collect physiological parameters before transferring over the hybrid transmission medium. Thing-Speak and graphic user interface (GUI) were used to display the results. The system design was successfully deployed, with efficient transmission of patient data with an average accuracy of 99.06%. The hybrid wireless monitoring system can give continuous physiological data as well as more detailed information about an individual's overall health. Hybrid wireless physiological parameter monitoring system has the potential of enhancing the quality of life of disease management individuals and lower healthcare expenditures.

关键词： Wireless communication Wireless sensor networks Surveillance Medical services Internet of Things Biosensors Reliability biomedical monitoring System analysis and design Graphical user interfaces

来源：评论

学校读者我要写书评

暂无评论

Does glucose affect our vision? A preliminary study using smart glasses

Does glucose affect our vision? A preliminary study using sm...

引用

Data Science and Engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic conference on

作者： Natalia Piaseczna Rafał Doniec Szymon Sieciński Marcin Grzegorzek Ewaryst Tkacz Department of Biosensors and Processing of Biomedical Signals Faculty of Biomedical Engineering Silesian University of Technology 41-800 Zabrze Poland Institute of Medical Informatics University of Lübeck 23562 Lübeck Germany Fraunhofer IMTE Mönkhofer Weg 239a 23562 Lübeck Germany

In this study, we investigate the relationship between blood glucose levels and visual acuity during simulated driving using smart glasses and machine learning. We found compelling correlations between blood glucose levels and visual performance, with a classification accuracy of 98.70%. These results highlight the importance of blood glucose regulation for road safety and human well-being, and the potential of wearable sensor technology to advance our understanding of physiological influences on human performance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

smart fetal care

Smart fetal care

引用

2019 Imaging and Multimedia Analytics in a Web and Mobile World conference, IMAWM 2019

作者： You, Jane Li, Qin Chen, Qiaozhu Guo, Zhenhua Yang, Hongbo Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong School of Software Engineering Shenzhen Institute of Information Technology Shenzhen China Guangzhou Women and Children Medical Center Guangzhou China Shenzhen Key Laboratory of Broaband Network and Multimedia Graduate School at Shenzhen Tsinghua University China Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Suzhou China

The exam of fetal well-being during routine prenatal care plays a crucial role in preventing pregnancy complications and reducing the risks of miscarriages, birth defects and other health problems. However, the conventional prenatal screening and diagnosis is conducted by medical professionals in a clinical environment, which is subject to certain limitations such as manpower, medical devices and location, time and cost of services, etc. This paper presents a new approach to detect and monitor fetal movement safely and reliably without any constrains of time, environment and cost. Unlike the conventional method, our contribution includes a novel soft sensor pad which can automatically detect fetal movement and uterine contraction non-intrusively and the robust data analysis software to monitor pregnancy health and screen abnormalities with quantitative assessment. The monitoring belt embedded with the soft sensor pad is wearable, non-intrusive, radiation free and washable. The new algorithms are robust for noise removal, feature extraction, time sequence data analysis and decision support to achieve personalized care. Both the design of soft sensor pad and functions of the belt are original and unique. The results of preliminary clinical trials demonstrate the feasibility and advantages of our prototype. © 2019, Society for Imaging Science and technology

关键词： Data handling

来源：评论

学校读者我要写书评

暂无评论

EMG-Based Gestures Classification Using a Mixed-Signal Neuromorphic Processing System

EMG-Based Gestures Classification Using a Mixed-Signal Neuro...

引用

2nd IEEE International conference on Artificial Intelligence Circuits and Systems (AICAS)

作者： Ma, Yongqiang Chen, Badong Ren, Pengju Zheng, Nanning Indiveri, Giacomo Donati, Elisa Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China Univ Zurich Inst Neuroinformat CH-8006 Zurich Switzerland Swiss Fed Inst Technol CH-8092 Zurich Switzerland

The rapid increase of wearable sensor devices poses new challenges for implementing continuous real-time processing of physiological data. Neuromorphic sensory-processing devices can enable both the measurement of bio-signals and their processing locally in compact embedded wearable systems. In particular, mixed-signal spiking neural networks implemented on neuromorphic processors can be integrated directly with the sensors to extract temporal data-streams in real-time with very low power consumption. In this work, we present a neuromorphic approach for classifying spatio-temporal data from electromyography (EMG) signals, which paves the way toward the realization of compact wearable solutions for neuroprosthetic control. Here we extend previously proposed delta-encoding methods to transform bio-signals into spike trains and use a spiking Recurrent Neural Network (SRNN) architecture to extract features from them. The SRNN was first simulated in software to find the optimal set of hyperparameters, and then validated on the neuromorphic hardware, with a difference in the performance of less than 2%. We describe how biologically plausible mechanisms such as Spike-Timing Dependent Plasticity (STDP) and soft Winner-Take-All (WTA) networks can be exploited to classify the EMG signals and show how their combined use in EMG data classification achieves competitive results with different datasets. Specifically, the classification performance for the Roshambo EMG dataset, which has three different classes, is above 85%, and for the basic finger movements dataset from the Ninapro database, which has eight different classes, reaches 55% accuracy.

关键词： Neuromorphic engineering biomedical signal processing Recurrent neural networks Wearable sensors Neuromorphic engineering biomedical signal processing spike encoding spiking recurrent neural network spike-based learning Winner-Take-All

来源：评论

学校读者我要写书评

暂无评论

Design of a smart physiological Monitoring System for the Elderly to Enable Predictive, Preventive, and Personalized Medicine

Design of a Smart Physiological Monitoring System for the El...

引用

Electronic Information Engineering and Computer Communication (EIECC), International conference on

作者： Ziqing Cai Weitao Wang Han Zhang School of Law and Humanities China University of Mining and Technology (Beijing) Beijing China School of Artificial Intelligence China University of Mining and Technology (Beijing) Beijing China

ISBN: (数字)9798331534622

ISBN: (纸本)9798331534639

The global increase in the elderly population presents significant challenges to healthcare systems, requiring the development of innovative solutions for health monitoring. This study presents the design of a smart physiological monitoring system aimed at delivering predictive, preventive, and personalized medicine for elderly individuals. The overall system integrates a microcontroller-based hardware platform with Wi-Fi communication to enable real-time monitoring of key physiological metrics such as heart rate and body temperature. The system’s hardware design utilizes the STC89C52 microcontroller, interfaced with a heart rate detection circuit that employs the ADC0832 analog-to-digital converter to connect a heart rate sensor to the microcontroller, as well as a DS18B20 temperature sensor. The circuit is optimized for low power consumption and incorporates a Wi-Fi module. The software design of the system is based on an embedded platform, utilizing a lightweight real-time operating system to manage sensor data acquisition, processing, and communication. Algorithms for data filtering, anomaly detection, and real-time analysis are implemented to ensure accurate monitoring of physiological conditions. This study eventually concludes by emphasizing the system’s potential to improve elderly healthcare and support for predictive, preventive, and personalized medicine.

关键词： Temperature sensors Microcontrollers Precision medicine Medical services Real-time systems Hardware Older adults biomedical monitoring Monitoring Wireless fidelity

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共16页 << < 6 7 8 9 10 11 12 13 14 15 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：