scholarly journals A Survey on Recent Advances in Wearable Fall Detection Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Anita Ramachandran ◽  
Anupama Karuppiah

With advances in medicine and healthcare systems, the average life expectancy of human beings has increased to more than 80 yrs. As a result, the demographic old-age dependency ratio (people aged 65 or above relative to those aged 15–64) is expected to increase, by 2060, from ∼28% to ∼50% in the European Union and from ∼33% to ∼45% in Asia (Ageing Report European Economy, 2015). Therefore, the percentage of people who need additional care is also expected to increase. For instance, per studies conducted by the National Program for Health Care of the Elderly (NPHCE), elderly population in India will increase to 12% of the national population by 2025 with 8%–10% requiring utmost care. Geriatric healthcare has gained a lot of prominence in recent years, with specific focus on fall detection systems (FDSs) because of their impact on public lives. According to a World Health Organization report, the frequency of falls increases with increase in age and frailty. Older people living in nursing homes fall more often than those living in the community and 40% of them experience recurrent falls (World Health Organization, 2007). Machine learning (ML) has found its application in geriatric healthcare systems, especially in FDSs. In this paper, we examine the requirements of a typical FDS. Then we present a survey of the recent work in the area of fall detection systems, with focus on the application of machine learning. We also analyze the challenges in FDS systems based on the literature survey.

2004 ◽  
Vol 8 (24) ◽  
Author(s):  

The World Health Organization (WHO) Regional Office for Europe has recently published a booklet entitled 10 Health Questions about the 10, which gives an overview of trends in population health and healthcare systems in the 10 new member states of the European Union


2018 ◽  
Vol 7 ◽  
Author(s):  
Christine Peta

In 2016, the World Health Organization, through the Global Cooperation on Assistive Technology Initiative, issued the Priority Assistive Products List which is meant to be a guide to member states of the 50 assistive products needed for a basic health care and/or social welfare system; it is also a model from which nations can develop their national priority assistive products lists. The aim of this opinion paper is to share my views about the Priority Assistive Products List on the grounds that it makes no distinct mention of sexual assistive devices, yet research has indicated that sexuality is an area of great concern for persons with disabilities. In any case, sexuality forms a core part of being human, and it impacts on both the physical and mental well-being of all human beings. I conclude in part that, in its present format, the list perpetuates the myth that persons with disabilities are asexual beings who are innocent of sexual thoughts, feelings and experiences. The list also propagates the stereotype that sexuality is a sacred, private, bedroom matter that should be kept out of the public domain, to the detriment of the health and well-being of persons with disabilities.


Author(s):  
Nishanth P

Falls have become one of the reasons for death. It is common among the elderly. According to World Health Organization (WHO), 3 out of 10 living alone elderly people of age 65 and more tend to fall. This rate may get higher in the upcoming years. In recent years, the safety of elderly residents alone has received increased attention in a number of countries. The fall detection system based on the wearable sensors has made its debut in response to the early indicator of detecting the fall and the usage of the IoT technology, but it has some drawbacks, including high infiltration, low accuracy, poor reliability. This work describes a fall detection that does not reliant on wearable sensors and is related on machine learning and image analysing in Python. The camera's high-frequency pictures are sent to the network, which uses the Convolutional Neural Network technique to identify the main points of the human. The Support Vector Machine technique uses the data output from the feature extraction to classify the fall. Relatives will be notified via mobile message. Rather than modelling individual activities, we use both motion and context information to recognize activities in a scene. This is based on the notion that actions that are spatially and temporally connected rarely occur alone and might serve as background for one another. We propose a hierarchical representation of action segments and activities using a two-layer random field model. The model allows for the simultaneous integration of motion and a variety of context features at multiple levels, as well as the automatic learning of statistics that represent the patterns of the features.


2016 ◽  
Vol 31 (1) ◽  
Author(s):  
Margaret-Ann Armour

AbstractDrinking water is essential to us as human beings. According to the World Health Organization “The quality of drinking-water is a powerful environmental determinant of health” (


PEDIATRICS ◽  
1950 ◽  
Vol 6 (5) ◽  
pp. 785-788

EVERY practicing pediatrician is faced with the problem of possible rabies in children bitten by animals. This terrifying and dramatic disease, of world-wide distribution and concern, has been the object of research in many countries. Following an International Rabies Conference in Paris in 1927, data concerning 1,600,000 persons treated were collected by the Health Organization of the League of Nations. Final proof of the value of Pasteur treatment could not, however, be obtained, as no evidence was available to compare the outcome of the disease in treated and untreated individuals. After discussion at the First World Health Assembly in 1948 rabiologists all over the world were consulted by the World Health Organization through a questionnaire, and an expert committee was convened in Geneva from 17 to 22 April, 1950, to examine the replies received, review the newest developments, and make recommendations. Highlights of the report of this Expert Committee are presented in the Chronicle of the World Health Organization, vol.4, no.9, pp. 278-284, September 1950. Active Immunization Since Pasteur first used his vaccine in attempts at therapy major activity has been directed at two objectives—treatment of the exposed human beings and mass immunization of animals. "Differences which are known to exist in the biological quality of antirabies vaccines have thrown doubt on the value of current vaccination procedures.


2020 ◽  
Vol 8 (3) ◽  
pp. e027
Author(s):  
Angela Quispe-Salcedo

The ongoing COVID-19 pandemic has represented a major challenge for human beings during 2020. At time this editorial is written (December 7th) there was a total of 66’422,058 confirmed positive cases and 1’532418 deaths worldwide, according to the World Health Organization (WHO) (1). In our country, the latest report released by the Ministry of Health (MINSA) showed a cumulative of 973,918 confirmed cases including 36,274 deaths. (2) This dramatic scenario has brought various limitations in all aspects of our lives, forcing us to adapt to the “new normality”, that includes strong protection measures to restrain the spread of the viral infection among our population. (3) Although these restrictions have been progressively lifted with the passing of the months, the educational activity at all levels has not yet been reestablished.


1989 ◽  
Vol 6 (2) ◽  
pp. 354-357
Author(s):  
IIIT - USA

The Eastern Mediterranean Regional Office of the World Health Organization,the Islamic Organization for Medical Sciences, and the Royal Academyfor Islamic Civilization Research (the Aal Al-Bayt Foundation) jointly sponsoreda seminar on “Islamic Lifestyles and their Impact on Health and theGeneral Development of Mankind” in order to put this Islamic heritage inthe service of all human beings.The idea of.holding this Seminar was first conceived by the EasternMediterranean Regional Office of the World Health Organization becauseof its profound conviction that:1. Health constitutes the physical, psychological, and social wellbeingof the individual.2. Particular lifestyles have a major impact on the health ofthe individual and the society at large.3. Islam views the concept of well-being as a pre-requisite of‘Aqidah (creed) and Shari’ah which the Muslims fully appliedand implemented in their Golden Age -thus, providingliving proof of its success in real life.The first task undertaken by the participants involved the exhaustive listingand description of Islamic lifestyles in all spheres, and, the determiningof their Islamic roots on the basis of evidence from the Qur’an and Hadith.The second task focused on exploring the benefits to be acquired and theharms to be avoided through the adoption of these Islamic lifestyles by theindividual, the family, the society, and all human beings especially in thespheres of mental and physical health, and the well-being of social and humanrelationships. The third task involved devising plans of action for utilizingand applying all or part of the knowledge gained about Islamic lifestylesin order to demonstrate their beneficial influence as a means of reforminglife and setting mankind on the straight path.The Seminar participants also formed a smaller committee to exatninethe results of its research and deliberations so as to prepare, as soon as possible ...


Author(s):  
V. B. Langote ◽  
Bharat Kale ◽  
Aniket Agarkar ◽  
Shriram Salunkhe

The unprecedented outbreak of the 2019 novel coronavirus, termed as COVID-19 by the World Health Organization (WHO), has placed numerous governments around the world in a precarious position. The impact of the COVID-19 outbreak, earlier witnessed by the citizens of China alone, has now become a matter of grave concern for virtually every country in the world. The scarcity of resources to endure the COVID-19 outbreak combined with the fear of overburdened healthcare systems has forced a majority of these countries into a state of partial or complete lockdown. The number of laboratory-confirmed coronavirus cases has been increasing at an alarming rate throughout the world, with reportedly more than 1 crore confirmed cases as of 12th January 2021. Adding to these woes, numerous false reports, misinformation, and unsolicited fears in regards to coronavirus, are being circulated regularly since the outbreak of the COVID19. Google Firebase for collection of non-COVID patient info is another addition to our project that can be used in every hospital. Same goes for ‘Disease Tracker’ which will track other common diseases in India, which help in both ways for doctors.


2022 ◽  
pp. 305-319
Author(s):  
Zeki Özen

In the difficult times of history, human beings sought a solution to the crisis by using the existing technological facilities outside of the structure used until that day or by further developing the technology. The COVID-19 outbreak, which affected the whole world in 2020, also increased the diversity and use of blockchain applications. The first coronavirus case in China and then declaration of COVID-19 by the World Health Organization as a pandemic caused countries to be extremely unprepared for this epidemic. The fact that the pandemic is felt in almost every area of daily life has forced individuals to digitalize their daily work and habits. In this study, the existing and innovative blockchain applications developed against the epidemic during the pandemic process will be discussed, and possible future opportunities will be mentioned.


2020 ◽  
Vol 4 (2) ◽  
pp. 66-70
Author(s):  
firman Tempola

Kematian akibat penyakit jantung terus meningkat dan tak mengenal usia muda dan tua. World Health Organization menyebutkan 7,3 juta penduduk dunia meninggal akibat dari penyakit jantung. Bahkan disebutkan penyakit jantung adalah salah penyakit nomor satu paling mematikan. Untuk itu penting diketahui resiko dari pentakit jantung dengan menerapkan model-model yang ada pada machine learning. Tujuan dari penelitian ini yaitu untuk mengimplementasikan metode Naive Bayes untuk memprediksi penyakit jantung, serta dilakukan ujii kinerja algoritma dengan menghitung presisi, recall dan akurasi. Adapun Kriteria-kriteria yang digunakan pada penelitian ini yaitu umur, jenis kelamin, jenis sakit dada, tekanan darah, kolestrol, kadar gula, elektrokardiografi, tekanan jantung, angina induksi, old-peak, segmen_st, Fluoroskopi, denyut jantung. Sedangkan class yang diprediksi ada 2 beresiko dan tidak beresiko. Hasil dalam penelitian ini menunjukan bahwa metode berhasil memprediksi atau mengklasifikasi pasien beresiko penyakit jantung dan tidak beresiko penyakit jantung dengan persentase precision 90%, recall 100% serta mendapatkan akurasi 92.85% dan termaksuk exellent classification.


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