scholarly journals Radiography image analysis using cat swarm optimized deep belief networks

2021 ◽  
Vol 31 (1) ◽  
pp. 40-54
Author(s):  
Amer S. Elameer ◽  
Mustafa Musa Jaber ◽  
Sura Khalil Abd

Abstract Radiography images are widely utilized in the health sector to recognize the patient health condition. The noise and irrelevant region information minimize the entire disease detection accuracy and computation complexity. Therefore, in this study, statistical Kolmogorov–Smirnov test has been integrated with wavelet transform to overcome the de-noising issues. Then the cat swarm-optimized deep belief network is applied to extract the features from the affected region. The optimized deep learning model reduces the feature training cost and time and improves the overall disease detection accuracy. The network learning process is enhanced according to the AdaDelta learning process, which replaces the learning parameter with a delta value. This process minimizes the error rate while recognizing the disease. The efficiency of the system evaluated using image retrieval in medical application dataset. This process helps to determine the various diseases such as breast, lung, and pediatric studies.

2021 ◽  
Author(s):  
Siddhant Thakur Thakur ◽  
Devarshi Patel Patel

Abstract Health and Fitness is becoming more of an integral part of human life. Being Healthy is crucial in the present fast-growing world. Most difficult aspect to maintaining health is keeping track of it especially for old people. So, we turn to technology, again, and came out with concept of ‘Smart Health Care’. It monitors patient health via IOT devices. It keeps track of EEG rate, Body Temperature, Bpm rate etc. This will not only help patient but also doctors to study their patients on daily basis with daily streaming data. Whenever a patient visits her/his doctors, the doctors would have data of ups and down or any uneven changes, anomalies and observed trends pertaining to the patient. IOT in many ways has transformed the Health Sector immensely. The tracking will be continuous with WIFI module correspondence. The proposed system will used WIFI module and will be constantly uploading patient’s data to cloud and keep track of ECG Rate. It will detect type of arrhythmia on bases ECG rate by CNN Deep Learning model. Data generated from this can be also used for research purposes for better and reliable future.


2021 ◽  
pp. 1-15
Author(s):  
Mengyao Cui ◽  
Seung-Soo Baek ◽  
Rubén González Crespo ◽  
R. Premalatha

BACKGROUND: Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple conditions will improve solutions to the patient’s healthcare radically. A concept model for the real-time patient tracking system is the primary goal of the method. The Internet of things (IoT) has made health systems accessible for programs based on the value of patient health. OBJECTIVE: In this paper, the IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM), has been proposed for effective monitoring of the patients. METHOD: The emerging connected sensors and IoT devices monitor and test the cardiac speed, oxygen saturation percentage, body temperature, and patient’s eye movement. The collected data are used in the cloud database to evaluate the patient’s health, and the effects of all measures are stored. The IoT-CCPHM maintains that the medical record is processed in the cloud servers. RESULTS: The experimental results show that patient health monitoring is a reliable way to improve health effectively.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mohammadreza Azimi ◽  
Seyed Ahmad Rasoulinejad ◽  
Andrzej Pacut

AbstractIn this paper, we attempt to answer the questions whether iris recognition task under the influence of diabetes would be more difficult and whether the effects of diabetes and individuals’ age are uncorrelated. We hypothesized that the health condition of volunteers plays an important role in the performance of the iris recognition system. To confirm the obtained results, we reported the distribution of usable area in each subgroup to have a more comprehensive analysis of diabetes effects. There is no conducted study to investigate for which age group (young or old) the diabetes effect is more acute on the biometric results. For this purpose, we created a new database containing 1,906 samples from 509 eyes. We applied the weighted adaptive Hough ellipsopolar transform technique and contrast-adjusted Hough transform for segmentation of iris texture, along with three different encoding algorithms. To test the hypothesis related to physiological aging effect, Welches’s t-test and Kolmogorov–Smirnov test have been used to study the age-dependency of diabetes mellitus influence on the reliability of our chosen iris recognition system. Our results give some general hints related to age effect on performance of biometric systems for people with diabetes.


2021 ◽  
Vol 10 (4) ◽  
pp. 1-25
Author(s):  
Nimi W. S. ◽  
P. Subha Hency Jose ◽  
Jegan R.

This paper presents a brief review on present developments in wearable devices and their importance in healthcare networks. The state-of-the-art system architecture on wearable healthcare devices and their design techniques are reviewed and becomes an essential step towards developing a smart device for various biomedical applications which includes diseases classifications and detection, analyzing nature of the bio signals, vital parameters measurement, and e-health monitoring through noninvasive method. From the review on latest published research papers on medical wearable device and bio signal analysis, it can be concluded that it is more important and very essential to design and develop a smart wearable device in healthcare environment for quality signal acquisition and e-health monitoring which leads to effective measures of multiparameter extractions. This will help the medical practitioners to understand the nature of patient health condition easily by visualizing a quality signal by smart wearable devices.


Author(s):  
Hemanth Kumar. R

Healthcare systems are a very important part of the economy of any country and for the public health. The IoT-based monitoring system for patients with paralysis, which helps to promote the health condition of a patient with paralysis, in addition to the day-to-day life. India has suffered a stroke, the incidence is much higher than that of the more developed countries, it is home to around 2.1 million Indians suffered from the boom of the (lame) per year. If a patient is suffering from a paralysis attack in all or any part of the body can be turned off in order to move in, which means that their movement is restricted and they can barely communicate with anyone at all, because they can't talk like a normal person. Raccoons will find it difficult to understand what they are saying, and help them deal with their day-to-day needs, such as food, water, etc.). At present, work is in progress on the review of the motion parameters on the legs, arms, and head of the paralytics. This paper investigates the development of an integrated and portable prototype is a model of a system for the monitoring of the various movements of the body, spinal cord injuries, with the help of sensors. The tests were carried out by placing the sensors on the head, arm, and leg of the paralyzed patient the data received from these sensors are sent to the raspberry pi 3 model. In the Android app, you'll receive a verbal warning, and if the patient is in need of help via Bluetooth, which, in turn, is connected to the raspberry pi.


2018 ◽  
Vol 119 (7/8) ◽  
pp. 358-376
Author(s):  
Cathrine Tambudzai Nengomasha ◽  
Ruth Abankwah ◽  
Wilhelm Uutoni ◽  
Lilian Pazvakawambwa

Purpose This paper aims to report some findings of a study that investigated health information systems (HISs) in Namibia with a view of establishing the nature of these systems and coming up with recommendations on how these could be enhanced. Design/methodology/approach This study applied a mixed methods research approach, using interviews and survey questionnaire to collect data. Survey data were analysed for descriptive statistics using SPSS and data from interviews were analysed applying content analysis for data analysis. Findings The findings of this study indicate fragmented HISs resulting in duplication of diagnosis, tests and treatment. The findings show that there were errors in capturing data into the systems, which could compromise the reliability of the data and compromise service delivery. Research limitations/implications This study was limited to two (Khomas and Oshana) of the fourteen regions in Namibia; therefore, further studies could look at other regions, as the study findings cannot be generalised to the entire country. Practical implications The findings and recommendations, particularly those relating to the public health sector, could inform policies and procedures, especially those relating to the patient health passport (card), and the way health information is shared within and across health sectors. Originality/value This study focused on health information sharing, whereas a previous study on HISs concentrated on quality of healthcare.


Author(s):  
Marc Jacquinet ◽  
Henrique Curado ◽  
Ângela Lacerda Nobre ◽  
Maria José Sousa ◽  
Marco Arraya ◽  
...  

There is a growing literature on health and health care dedicated to empowerment of patients; but there is still a gap in the literature to conceptualize knowledge, to extend the discussion of the empowerment of the patients to the stakeholders. The discussion is at the level of managerial processes of empowerment and knowledge management related to health care. The present chapter starts with a review on empowerment, especially focused on the health sector. The following sections will develop a critical analysis of empowerment, mainly around the concept of tacit knowledge (Polanyi) and knowledge management. One key variable is the proximity of the actors involved in the empowerment process. This key variable is very much related to the tacitness issue of knowledge production and flows. The chapter extends the discussion of the empowerment of the patients to that of the stakeholders and the general debate about health literacy. A model is briefly described for the purpose of illustrating the learning process in a knowledge management implemented in health care.


Author(s):  
Marc Jacquinet ◽  
Henrique Curado ◽  
Ângela Lacerda Nobre ◽  
Maria José Sousa ◽  
Marco Arraya ◽  
...  

There is a growing literature on health and health care dedicated to empowerment of patients; but there is still a gap in the literature to conceptualize knowledge, to extend the discussion of the empowerment of the patients to the stakeholders. The discussion is at the level of managerial processes of empowerment and knowledge management related to health care. The present chapter starts with a review on empowerment, especially focused on the health sector. The following sections will develop a critical analysis of empowerment, mainly around the concept of tacit knowledge (Polanyi) and knowledge management. One key variable is the proximity of the actors involved in the empowerment process. This key variable is very much related to the tacitness issue of knowledge production and flows. The chapter extends the discussion of the empowerment of the patients to that of the stakeholders and the general debate about health literacy. A model is briefly described for the purpose of illustrating the learning process in a knowledge management implemented in health care.


2019 ◽  
pp. 314-338
Author(s):  
Marc Jacquinet ◽  
Henrique Curado ◽  
Ângela Lacerda Nobre ◽  
Maria José Sousa ◽  
Marco Arraya ◽  
...  

There is a growing literature on health and health care dedicated to empowerment of patients; but there is still a gap in the literature to conceptualize knowledge, to extend the discussion of the empowerment of the patients to the stakeholders. The discussion is at the level of managerial processes of empowerment and knowledge management related to health care. The present chapter starts with a review on empowerment, especially focused on the health sector. The following sections will develop a critical analysis of empowerment, mainly around the concept of tacit knowledge (Polanyi) and knowledge management. One key variable is the proximity of the actors involved in the empowerment process. This key variable is very much related to the tacitness issue of knowledge production and flows. The chapter extends the discussion of the empowerment of the patients to that of the stakeholders and the general debate about health literacy. A model is briefly described for the purpose of illustrating the learning process in a knowledge management implemented in health care.


Author(s):  
Thierry O. C. Edoh

Screening for diseases is a medical process to predict, prevent, detect, and cure a disease in people at high risk. However, it is limited in the quality and accuracy of the outcomes. The reason for this is the lack of long-term data about the health condition of the patient. Launching modern information and communication technology in the screening process has shown promise of improving the screening outcomes. A previous study has shown that patient education can positively impact the patient behavior face to a disease and can empower the patient to adopt a healthy lifestyle and thus avoid certain diseases. Offering medical education to the patient can positively impact screening outcomes since educated and empowered patients are more aware of certain diseases and can collect significant information. This can minimize the rate of false positive as well as false negative screening results. This chapter analyzes how medical education can contribute to improving screening outcomes.


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