scholarly journals Machine-knitted washable sensor array textile for precise epidermal physiological signal monitoring

2020 ◽  
Vol 6 (11) ◽  
pp. eaay2840 ◽  
Author(s):  
Wenjing Fan ◽  
Qiang He ◽  
Keyu Meng ◽  
Xulong Tan ◽  
Zhihao Zhou ◽  
...  
Keyword(s):  
Sensor Array ◽  
Health Management ◽  
Sleep Apnea Syndrome ◽  
Health Assessment ◽  
Fast Response ◽  
Pressure Sensitivity ◽  
Physiological Signal ◽  
Textile Sensor ◽  
Pulse Waves ◽  
Excellent Property

Wearable textile electronics are highly desirable for realizing personalized health management. However, most reported textile electronics can either periodically target a single physiological signal or miss the explicit details of the signals, leading to a partial health assessment. Furthermore, textiles with excellent property and comfort still remain a challenge. Here, we report a triboelectric all-textile sensor array with high pressure sensitivity and comfort. It exhibits the pressure sensitivity (7.84 mV Pa−1), fast response time (20 ms), stability (>100,000 cycles), wide working frequency bandwidth (up to 20 Hz), and machine washability (>40 washes). The fabricated TATSAs were stitched into different parts of clothes to monitor the arterial pulse waves and respiratory signals simultaneously. We further developed a health monitoring system for long-term and noninvasive assessment of cardiovascular disease and sleep apnea syndrome, which exhibits great advancement for quantitative analysis of some chronic diseases.

Assessment of Current Health of Hard Disk Drives

2010 ◽  
Author(s):  
Abe Zeid ◽  
Sagar Kamarthi
Keyword(s):  
Health Management ◽  
State Of The Art ◽  
Hard Disk Drives ◽  
Health Assessment ◽  
Hard Disk ◽  
Assessment Method ◽  
Hard Disks ◽  
Disk Drives ◽  
Future Directions ◽  
Self Monitoring

Prognostics and health management of computer hard disk drives is beneficial from two different angles: it can help computer users plan for timely replacement of HDDs before they catastrophically fail and cause serious data loss; it can also help product recover facilities reuse hard disks recovered from the end-of-life computers for building refurbished computers. This paper presents a HDD health assessment method using Self-Monitoring, Analysis, and Reporting Technology (SMART) attributes. It also presents the state-of-the art results in monitoring the condition of hard disks and offers future directions for distributed hard disk monitoring.

Health Assessment Based on Fuzzy Synthetic Evaluation for Civil Aircrafts

2011 ◽  
Vol 335-336 ◽  
pp. 985-988
Author(s):  
Bao Hui Jia ◽  
Ze Dong Sun
Keyword(s):  
Health Status ◽  
Health Management ◽  
Health Assessment ◽  
Fuzzy Synthetic Evaluation ◽  
Hydraulic Pump ◽  
Quantitative Level ◽  
Key Technologies ◽  
Civil Aircraft ◽  
Evaluation Algorithm ◽  
Synthetic Evaluation

Health assessment is one of the key technologies for civil aircraft health management system. In order to access the health status of components, subsystems and systems of civil aircrafts, this paper explicitly defines the health status, and presents the fuzzy synthetic evaluation algorithm. Then the model of the evaluated object is established to get the health status of quantitative level. Finally, the method is used for health assessment of aircraft hydraulic pump .The results of simulation show the practicability of this method.

scholarly journals A Robust Beat-to-Beat Artifact Detection Algorithm for Pulse Wave

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Qihan Hu ◽  
Xintao Deng ◽  
Xin Liu ◽  
Aiguo Wang ◽  
Cuiwei Yang
Keyword(s):  
Pulse Wave ◽  
Smart Cities ◽  
Detection Algorithm ◽  
Wearable Devices ◽  
Segmentation Algorithm ◽  
Artifact Detection ◽  
Physiological Conditions ◽  
Physiological Signal ◽  
Pulse Waves ◽  
Complex Algorithm

With the rise of the concept of smart cities and healthcare, artificial intelligence helps people pay increasing attention to the health of themselves. People can wear a variety of wearable devices to monitor their physiological conditions. The pulse wave is a kind of physiological signal which is widely applied in the physiological monitoring system. However, the pulse wave is susceptible to artifacts, which prevents its popularization. In this work, we propose a novel beat-to-beat artifact detection algorithm, which performs pulse wave segmentation based on wavelet transform and then detects artifacts beat by beat based on the decision list. We verified our method on data acquired from different databases and compared with experts’ annotations. The segmentation algorithm achieved an accuracy of 96.13%. When it is applied to detect main peaks, the performance achieved an accuracy of 99.11%. After the previous segmentation algorithm, the artifact detection algorithm can detect beat-to-beat pulse waves and artifacts with an accuracy of 98.11%. The result indicated that the proposed method is robust for pulse waves of different patterns and could effectively detect the artifact without the complex algorithm. In summary, our proposed algorithm is capable of annotating pulse waves of various patterns and determining pulse wave quality. Since our method is developed and evaluated on the transmission-mode PPG data, it is more suitable for the devices and applications inside the hospitals instead of reflectance-mode PPG.

Industrial Robot Accuracy Degradation Monitoring and Quick Health Assessment

2019 ◽  
Vol 141 (7) ◽  
Author(s):  
Guixiu Qiao ◽  
Brian A. Weiss
Keyword(s):  
Production Efficiency ◽  
Health Management ◽  
Research Effort ◽  
Industrial Robot ◽  
Health Assessment ◽  
Test Method ◽  
Health State ◽  
Future Health ◽  
Robot Accuracy ◽  
Degradation Monitoring

Robot accuracy degradation sensing, monitoring, and assessment are critical activities in many industrial robot applications, especially when it comes to the high accuracy operations which may include welding, material removal, robotic drilling, and robot riveting. The degradation of robot tool center accuracy can increase the likelihood of unexpected shutdowns and decrease manufacturing quality and production efficiency. The development of monitoring, diagnostic and prognostic (collectively known as prognostics and health management (PHM)) technologies can aid manufacturers in maintaining the performance of robot systems. PHM can provide the techniques and tools to support the specification of a robot’s present and future health state and optimization of maintenance strategies. This paper presents the robotic PHM research and the development of a quick health assessment at the U.S. National Institute of Standards and Technology (NIST). The research effort includes the advanced sensing development to measure the robot tool center position and orientation; a test method to generate a robot motion plan; an advanced robot error model that handles the geometric/nongeometric errors and the uncertainties of the measurement system, and algorithms to process measured data to assess the robot’s accuracy degradation. The algorithm has no concept of the traditional derivative or gradient for algorithm converging. A use case is presented to demonstrate the feasibility of the methodology.

scholarly journals Digital and online symptom checkers and health assessment/triage services for urgent health problems: systematic review

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e027743 ◽  
Author(s):  
Duncan Chambers ◽  
Anna J Cantrell ◽  
Maxine Johnson ◽  
Louise Preston ◽  
Susan K Baxter ◽  
...  
Keyword(s):  
Systematic Review ◽  
Diagnostic Accuracy ◽  
Health Management ◽  
Data Extraction ◽  
Health Assessment ◽  
Cochrane Collaboration ◽  
Health Problems ◽  
Cochrane Library ◽  
Eligibility Criteria ◽  
Digital Version

ObjectivesIn England, the NHS111 service provides assessment and triage by telephone for urgent health problems. A digital version of this service has recently been introduced. We aimed to systematically review the evidence on digital and online symptom checkers and similar services.DesignSystematic review.Data sourcesWe searched Medline, Embase, the Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Health Management Information Consortium, Web of Science and ACM Digital Library up to April 2018, supplemented by phrase searches for known symptom checkers and citation searching of key studies.Eligibility criteriaStudies of any design that evaluated a digital or online symptom checker or health assessment service for people seeking advice about an urgent health problem.Data extraction and synthesisData extraction and quality assessment (using the Cochrane Collaboration version of QUADAS for diagnostic accuracy studies and the National Heart, Lung and Blood Institute tool for observational studies) were done by one reviewer with a sample checked for accuracy and consistency. We performed a narrative synthesis of the included studies structured around pre-defined research questions and key outcomes.ResultsWe included 29 publications (27 studies). Evidence on patient safety was weak. Diagnostic accuracy varied between different systems but was generally low. Algorithm-based triage tended to be more risk averse than that of health professionals. There was very limited evidence on patients’ compliance with online triage advice. Study participants generally expressed high levels of satisfaction, although in mainly uncontrolled studies. Younger and more highly educated people were more likely to use these services.ConclusionsThe English ‘digital 111’ service has been implemented against a background of uncertainty around the likely impact on important outcomes. The health system may need to respond to short-term changes and/or shifts in demand. The popularity of online and digital services with younger and more educated people has implications for health equity.PROSPERO registration numberCRD42018093564.

A disposable breath sensing tube with on-tube single-nanowire sensor array for on-site detection of exhaled breath biomarkers

Lab on a Chip ◽  
2016 ◽  
Vol 16 (22) ◽  
pp. 4395-4405 ◽  
Author(s):  
Chung-Hsuan Wu ◽  
Wei-Han Wang ◽  
Chien-Chong Hong ◽  
Kuo Chu Hwang
Keyword(s):  
Sensor Array ◽  
Low Cost ◽  
Fast Response ◽  
Exhaled Breath ◽  
Plastic Tube ◽  
Single Nanowire ◽  
Nanowire Sensor

The plastic tube with on-tube single-NW sensors demonstrates the advantages of low cost, fast response, and an easy-to-use breath-sensing procedure.

Fabrication and measurement of wireless pressure-sensitive micro-device based on high temperature co-fired ceramics technology

Sensor Review ◽  
2014 ◽  
Vol 34 (1) ◽  
pp. 117-122 ◽  
Author(s):  
Shijun Zheng ◽  
Ting Liang ◽  
Yinpin Hong ◽  
Ying Li ◽  
Jijun Xiong
Keyword(s):  
High Temperature ◽  
Future Application ◽  
Measurement Technology ◽  
Insulation Material ◽  
Pressure Sensitivity ◽  
Readout Circuit ◽  
Content Type ◽  
Pressure Sensitive ◽  
Novel Material ◽  
Excellent Property

Purpose – The paper aims to highlight a wireless pressure-sensitive micro-device with high pressure sensitivity and accuracy. It is based on the partially stabilized Zirconia (PSZ) ceramic material which is capable of excellent elasticity and robustness. Design/methodology/approach – The paper begins with a general introduction to the wireless interrogating method and then the fabrication processes of the device using high temperature co-fired ceramic (HTCC) technology are described in detail. Findings – A passive wireless micro-device made from a novel material-PSZ ceramic on pressure monitoring is fabricated and tested and the authors proved that the device possesses an advantages over some proposed wireless sensors on interrogating distance. The pressure sensitivity of the device is 336 kHz/bar at readout distance 2.5 cm and that is an excellent property. Originality/value – The paper shows a new design scheme for wireless pressure measurement. The future application of the wireless device indicates the problem on external packaging and wire connection could be avoided. The allowable interrogation distance between the device and readout circuit reaches 2.5 cm which is mentioned for the first time so far. The distance is long enough to insert a thermal insulation material which can protect the vulnerable readout circuit from harsh environment, so the research finding is meaningful for the modern measurement technology.

scholarly journals Three-Stage Wind Turbine Assessment Method: Condition Monitoring, Failure Prediction, And Health Assessment

2021 ◽  
Author(s):  
Yongsheng Qi ◽  
Tongmei Jing ◽  
Chao Ren ◽  
Xuejin Gao
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Wind Farm ◽  
Health Management ◽  
Health Assessment ◽  
Failure Prediction ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Generalized Regression Neural Network ◽  
Monitoring Method

Abstract To improve the wind turbine shutdown early warning ability, we present a generalized model for wind turbine (WT) prognosis and health management (PHM) based on the data collected from the SCADA system. First, a new condition monitoring method based on kernel entropy component analysis (KECA) was developed for nonlinear data. Then, an aggregate statistic T was designed to express the state change of the monitoring parameters. As the features were submerged because of the diversity and nonlinearity of SCADA data, an enhanced generalized regression neural network (GRNN) method—KECA-GRNN—for failure prediction was developed by adding KECA for feature extraction to improve the predictive performance. Finally, the results of the KECA-GRNN model were visualized by a bubble chart, which made the health assessment results of the WT more intuitive. Similarly, the fusion residual was defined to analyze the health trend of the WT, and the health status of the WT was represented by two visualization methods—bubble chart and fuzzy comprehensive evaluation. Furthermore, they were evaluated using SCADA data that were collected from a wind farm. Observations from the results of the model indicated the ability of the approach to trend and assess turbine degradation before known downtime occurrences.

Lifestyle and Cultural Factors Related to Longevity Among Older Adults in the Northeast of Thailand

2020 ◽  
pp. 104365962092122
Author(s):  
Alchalee Jantapo ◽  
Wichitra Kusoom
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Health Care Services ◽  
Health Management ◽  
Health Assessment ◽  
Well Being ◽  
Care Services ◽  
Healthy Longevity ◽  
And Control ◽  
Thai Culture

Introduction: Healthy longevity is important in older adults. The lifestyle and cultural background are likely related to longevity. This study explored lifestyles and Buddhist Thai culture relating to longevity, and evaluated activities of daily living (ADL), body mass index (BMI), and mental health. Method: A mixed method using concurrent embedded strategy was employed. Qualitative data collection included observation and in-depth interviews with 30 older adults aged 80 years and above from Northeastern Thailand. Quantitative data: Barthel ADL, BMI, and Thai Geriatric Mental Health Assessment (T-GMH-A) were assessed. Content analysis was applied using the Strauss and Corbin method. Results: Four major themes were, promoting physical activities, prevention and control of diseases, mental health management, and Buddhist socio-Thai culture. Means of Barthel ADL, BMI, and T-GMH-A were 19.0 ( SD 1.1), 21.34 ( SD 3.07), and 53.53 ( SD 7.22), respectively. Discussion: These factors greatly influenced longevity and well-being. Culturally congruent care should be implemented to health care services.

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