scholarly journals Reduction of Artifacts in Capacitive Electrocardiogram Signals of Driving Subjects

Entropy ◽  
2021 ◽  
Vol 24 (1) ◽  
pp. 13
Author(s):  
Tamara Škorić
Keyword(s):  
Health Services ◽  
Linear Trend ◽  
Health Condition ◽  
Ecg Signal ◽  
Artifact Removal ◽  
Cardiovascular Parameters ◽  
Recorded Signal ◽  
Spectral Bands ◽  
Electrocardiogram Signals ◽  
Smart Cars

The development of smart cars with e-health services allows monitoring of the health condition of the driver. Driver comfort is preserved by the use of capacitive electrodes, but the recorded signal is characterized by large artifacts. This paper proposes a method for reducing artifacts from the ECG signal recorded by capacitive electrodes (cECG) in moving subjects. Two dominant artifact types are coarse and slow-changing artifacts. Slow-changing artifacts removal by classical filtering is not feasible as the spectral bands of artifacts and cECG overlap, mostly in the band from 0.5 to 15 Hz. We developed a method for artifact removal, based on estimating the fluctuation around linear trend, for both artifact types, including a condition for determining the presence of coarse artifacts. The method was validated on cECG recorded while driving, with the artifacts predominantly due to the movements, as well as on cECG recorded while lying, where the movements were performed according to a predefined protocol. The proposed method eliminates 96% to 100% of the coarse artifacts, while the slow-changing artifacts are completely reduced for the recorded cECG signals larger than 0.3 V. The obtained results are in accordance with the opinion of medical experts. The method is intended for reliable extraction of cardiovascular parameters to monitor driver fatigue status.

scholarly journals Capturing Electrocardiogram Signals from Chairs by Multiple Capacitively Coupled Unipolar Electrodes

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2835 ◽  
Author(s):  
Zhongjie Hou ◽  
Jinxi Xiang ◽  
Yonggui Dong ◽  
Xiaohui Xue ◽  
Hao Xiong ◽  
...  
Keyword(s):  
Printed Circuit Board ◽  
Experimental Tests ◽  
Circuit Board ◽  
Signal Acquisition ◽  
Ecg Signal ◽  
Capacitively Coupled ◽  
Ecg Signals ◽  
Printed Circuit ◽  
Electrocardiogram Signals ◽  
Electrocardiogram Ecg

A prototype of an electrocardiogram (ECG) signal acquisition system with multiple unipolar capacitively coupled electrodes is designed and experimentally tested. Capacitively coupled electrodes made of a standard printed circuit board (PCB) are used as the sensing electrodes. Different from the conventional measurement schematics, where one single lead ECG signal is acquired from a pair of sensing electrodes, the sensing electrodes in our approaches operate in a unipolar mode, i.e., the biopotential signals picked up by each sensing electrodes are amplified and sampled separately. Four unipolar electrodes are mounted on the backrest of a regular chair and therefore four channel of signals containing ECG information are sampled and processed. It is found that the qualities of ECG signal contained in the four channel are different from each other. In order to pick up the ECG signal, an index for quality evaluation, as well as for aggregation of multiple signals, is proposed based on phase space reconstruction. Experimental tests are carried out while subjects sitting on the chair and clothed. The results indicate that the ECG signals can be reliably obtained in such a unipolar way.

Digitization of Paper Electrocardiogram

2019 ◽  
pp. 212-228
Author(s):  
Priyanka Gautam ◽  
Ramesh Kumar Sunkaria ◽  
Lakhan Dev Sharma
Keyword(s):  
Cardiovascular Disease ◽  
Systematic Study ◽  
Efficient Method ◽  
Ecg Signal ◽  
Digital Conversion ◽  
Process Information ◽  
Diagnosis And Management ◽  
Cardiac Disorder ◽  
Electrocardiogram Signals ◽  
Main Challenge

In order to diagnose a possible cardiac disorder, ECG (electrocardiogram) signals are usually recorded on standard grid papers in hospitals. Many efforts have been made to advance the technology in order to improve the diagnosis and management of cardiovascular disease. There is a need to convert the existing ECG records into digital forms, as it is the most efficient method to store and analyze ECG attributes for clinical uses. The main purpose of this chapter is to review the existing algorithms for digital conversion of paper ECG. It discusses the various challenges and a systematic study on different methods that have been used so far to convert paper ECG records into digitized form so that they can be retrieved efficiently. Initial challenge involved in the digitization process is gridline removal. In this process, information of ECG signal is also removed. None of the existing methods provide flawless gridline removal. The paper ECG used in hospitals differs in shape, size, formats, so the main challenge in digitization process is to achieve a worldwide ECG format.

Research watch: what really helps recovery in relation to severe mental health difficulties?

2020 ◽  
Vol 24 (1) ◽  
pp. 6-12
Author(s):  
Sue Holttum
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Design Methodology ◽  
Support Service ◽  
Health Condition ◽  
Service Users ◽  
Content Type ◽  
Inpatient Settings ◽  
Mental Health Difficulties

Purpose The purpose of this paper is to examine three recent papers on mental health services and how they support recovery following a diagnosis of a severe mental health condition. Design/methodology/approach A search was carried out for recent papers on mental health and recovery. The author selected three papers that seemed to advance understanding of not only whether, but also how recovery of a meaningful life may be best supported in mental health services. Findings One paper suggested how staff were able to support service users’ personal goals and focus on recovery in acute inpatient settings, and what got in the way. The author suggests practical ways to address the barriers. A second paper reported the testing of a new model for supporting staff in primary and secondary care to work together so that service users with a diagnosis of bipolar or schizophrenia were better supported to work towards valued goals. A third paper reviewed 40 studies of how people can experience positive change after a first diagnosis of psychosis, and how change happened. Originality/value By studying the issues in detail, all three papers show how improved support for recovery and inclusion can be implemented against the backdrop of many years of service shortcomings.

scholarly journals TEHNIK DATA MINING DALAM MENGELOMPOKKAN KASUS PNEUMONIA PADA BALITA BERDASARKAN PROVINSI DI INDONESIA

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Puji Hariyati ◽  
Saifullah Saifullah ◽  
M. Fauzan
Keyword(s):  
Infectious Disease ◽  
Data Mining ◽  
Health Services ◽  
Implementation Process ◽  
Health Condition ◽  
Ministry Of Health ◽  
Air Sacs ◽  
The Government ◽  
Improve Health

Pneumonia is an infectious disease that attacks the lungs, causing air sacs in the lungs to become inflamed and swollen. This health condition is often called a wet lung. The condition of a wet lung can be experienced by anyone caused by bacteria, viruses, and fungi that are easily transmitted through the air in sneezing or coughing conditions. But pneumonia in children can be very dangerous and cause death. This study aims to create a grouping model using the K-Means algorithm. The method used is Datamining Clustering K-Means. By using this algorithm the data that has been generated can be grouped into clusters based on these data. The data is sourced from the Indonesian Ministry of Health in 2017. The number of records used is 34 provinces divided into 2 clusters namely high and low clusters. From the calculation of K-Means, there were 3 provinces as the highest cluster and 31 provinces as a low cluster. The implementation process using the Rapidminer 5.3 application is used to help find accurate values. It is expected that with this research can be used as a reference to the government in tackling pneumonia especially in infants to be able to improve health services, supply drugs, and equipment for treatment and anticipate against pneumonia in provinces in Indonesia.Keywords: Pneumonia, K-Means Algorithm, Data Mining

scholarly journals An Optimized FPGA Based System Design for the Arrhythmia Detection using ECG

2019 ◽  
Vol 9 (1) ◽  
pp. 2808-2818
Keyword(s):  
System Design ◽  
Detection System ◽  
Ecg Signal ◽  
Noise Elimination ◽  
Is Success ◽  
Arrhythmia Detection ◽  
Ecg Signals ◽  
Electrocardiogram Signals ◽  
Reconstructed Signal ◽  
Signal Peak

Electrocardiogram signals are highly susceptible to interferences caused due to various kinds of noises including artefacts’, disruptions in power lines attained from the human interferences and device disturbances. These noise signals tend to lower the quality of signals that result in crucial environment for detecting and diagnosing different types of arrhythmia. In order to avoid this issue, multiple filtering techniques are being incorporated out of all Gaussian filters with Haar DWT portray better outcomes in noise elimination and smoothening of signal. The process of ECG signal filtering allows performing the testing and validation of in the actual world emulation. Enhancement in PSNR ratio is observed by using the ECG signal filters along the reconstructed signal. For a given input ECG signal, the levels of the signal peak decide if the patient is suffering from arrhythmia or not. If peak is low, patient is detected with the arrhythmia disease, if high patient is normal. The results can be observed in simulation. FPGA prototyping of the design is carried out along the hardware debugging in chip scope pro tool. The design is realized using Verilog coding with the technique of morphological filtering. For the purpose of debugging the hardware device used is Artix-7. The FPGA methodology is success full in a position to detect arrhythmia. The framework based on FPGA is structured and executed in the paper which can detect a type of arrhythmia which indicates Atrio Ventricular block along with all the noises removed. The simulation results are obtained by taking ECG signals from MIT-BIH arrhythmia database. The proposed FPGA based system design is proven to be optimized as it showed very less utilization of resources when compared to previous arrhythmia detection system designs.

Motion Artifact Removal in Ambulatory ECG Signal for Heart Rate Variability Analysis

2019 ◽  
Vol 19 (24) ◽  
pp. 12432-12442 ◽  
Author(s):  
Deepak Berwal ◽  
Vandana C.R. ◽  
Sourya Dewan ◽  
Jiji C.V. ◽  
Maryam Shojaei Baghini
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Motion Artifact ◽  
Heart Rate Variability Analysis ◽  
Ecg Signal ◽  
Artifact Removal ◽  
Variability Analysis ◽  
Ambulatory Ecg

Health service - a part of the tourism product

1996 ◽  
Vol 2 (2) ◽  
pp. 265-278
Author(s):  
Marcel Meler ◽  
Drago Ružić ◽  
Dragan Kovačević
Keyword(s):  
Health Service ◽  
Health Services ◽  
Age Structure ◽  
Hotel Industry ◽  
Health Condition ◽  
Health Tourism ◽  
Business Operations ◽  
Medical Control ◽  
Tourism Product ◽  
Mutual Interest

The history and evolution of tourism show that the beginnings of tourism, as well as its later development are based on the development of those destinations that had markedly attractive factors of curative character. Health tourism can therefore be defined as a joint working area of health service and tourism where these two, on the partnership basis and with a mutual interest, organize the stay of individuals as tourists who come to places with marked natural and curative factors which they use and w'here they under medical control (or without it) receive health services through active vacation and through various other forms of treatment. The satisfaction of the need for health services, as well as for other partial tourist products that aim at satisfying the need for health services, also demands an adjustment of the business operations of the subjects offering tourist products, especially in hotel industry. Having in mind the fact that tourist movements, to a greater or lesser extent, also represent “movements for health purposes”, it is extremely important that hoteliers fully recognize the specific characteristics (e g., age structure, health condition and habits, etc.) of those segments of guests to which they direct their services and products.

scholarly journals Factors determining the negative perception of the health of Brazilian elderly people

2018 ◽  
Vol 21 (3) ◽  
pp. 283-292 ◽  
Author(s):  
Camila Zanesco ◽  
Danielle Bordin ◽  
Celso Bilynkievycz dos Santos ◽  
Erildo Vicente Müller ◽  
Cristina Berger Fadel
Keyword(s):  
Oral Health ◽  
Health Services ◽  
Functional Limitations ◽  
The Elderly ◽  
National Health Survey ◽  
Health Condition ◽  
Health Perception ◽  
Elderly Persons ◽  
Cross Sectional ◽  
Negative Perception

Abstract Objective: To identify factors that determine the negative perception of the health of the Brazilian elderly, considering sociodemographic conditions, functional limitations and illness, patterns of utilization of health services and oral health condition. Method: A cross-sectional study with data from the National Health Survey (2013), involving 23,815 elderly persons was carried out. Once the database was treated, dimensionality reduction was performed using the Waikato Environment for Knowledge Analysis. The variables related to health perception were evaluated through logistic regression to measure the magnitude of the associations. Health perception and 36 independent variables were considered as outcome variables. Results: The variables most strongly related to the negative perception of the health of the elderly were illiteracy (OR=1.48), low educational level, total difficulty in performing instrumental activities of daily living (OR=2.04), impossibility of performing any activity (OR=3.20), presence of a diagnosis of physical or mental illness (OR=2.44), negative self-perception of oral health (OR=1.92), an increased need for health services in recent weeks (OR=1.16), medical visits and hospitalization in the last 12 months (OR=1.40). Conclusion: The use of multidimensional methodologies can identify the influence of determinants of a negative perception of health among Brazilian elderly persons, and can support the formulation of public health policies aimed at the elderly population.

scholarly journals Chains, trains and automobiles: Medical transport for prisoners in Switzerland

2021 ◽  
pp. 147737082098883
Author(s):  
Sophie Haesen ◽  
Helene Merkt ◽  
Bernice Elger ◽  
Tenzin Wangmo
Keyword(s):  
Health Services ◽  
Health Condition ◽  
Access To Healthcare ◽  
Medical Treatments ◽  
Older Prisoners ◽  
Medical Transport ◽  
To Receive ◽  
Limit Access

Imprisoned persons are transported for several purposes including transfers to a different prison, legal-procedural reasons such as court hearings, and to receive medical treatments. The availability and acceptability of transportation may limit access to healthcare if health services cannot be provided within the prison grounds. The aim of this article is to examine the conditions of medical transport for older prisoners in Switzerland and to assess whether or not these practices are in line with international recommendations. Interviews with experts working in the prison context and with older prisoners were conducted. Results show that handcuffing practices and space restrictions during medical transport are not adapted to prisoners’ health condition. Older prisoners risk being exposed and humiliated by transport conditions. The reasons for delayed medical transport can be administrative constraints or erroneous medical judgement. Switzerland’s cantonal system results in a variety of regulations for transports, so that cantonal differences, administrative constraints and inappropriate conditions can delay access to necessary healthcare and increase suffering.

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