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"Behinderter"
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The eye of the beholder : deformity and disability in the Graeco-Roman world
In the eyes of the ancient Greeks and Romans, physical imperfections and infirmities were comparable to marks of the barbarian. The distinguished historian Robert Garland offers the first detailed investigation of the plight of those Greeks and Romans who, owing either to deformity or to disability, did not meet their society's exacting criteria for the ideal human form. Drawing on classical drama and poetry, historical works, medical tracts, vase painting and sculpture, mythology, and ethnography, Garland examines the high incidence of disability and deformity among the Greek and Roman population. From the deaf, the blind, and the lame to hunchbacks, dwarfs, and giants, to those even more severely disabled, he explores the lives of the handicapped and their place in ancient society.
Book
Filtering techniques for channel selection in motor imagery EEG applications: a survey
Brain computer interface (BCI) systems are used in a wide range of applications such as communication, neuro-prosthetic and environmental control for disabled persons using robots and manipulators. A typical BCI system uses different types of inputs; however, Electroencephalography (EEG) signals are most widely used due to their non-invasive EEG electrodes, portability, and cost efficiency. The signals generated by the brain while performing or imagining a motor related task [motor imagery (MI)] signals are one of the important inputs for BCI applications. EEG data is usually recorded from more than 100 locations across the brain, so efficient channel selection algorithms are of great importance to identify optimal channels related to a particular application. The main purpose of applying channel selection is to reduce computational complexity while analysing EEG signals, improve classification accuracy by reducing over-fitting, and decrease setup time. Different channel selection evaluation algorithms such as filtering, wrapper, and hybrid methods have been used for extracting optimal channel subsets by using predefined criteria. After extensively reviewing the literature in the field of EEG channel selection, we can conclude that channel selection algorithms provide a possibility to work with fewer channels without affecting the classification accuracy. In some cases, channel selection increases the system performance by removing the noisy channels. The research in the literature shows that the same performance can be achieved using a smaller channel set, with 10–30 channels in most cases. In this paper, we present a survey of recent development in filtering channel selection techniques along with their feature extraction and classification methods for MI-based EEG applications.
Journal Article
A Restrictive Humanitarian Policy and the Wellbeing of the Disabled in Disasters in Kisumu County
This paper explores how PWD's well-being is realized in disaster situations in Kisumu County of Kenya. There is a significant population of 15,760 persons with disability across Kisumu County. Their well-being is protected by the international humanitarian policy. At the national level, the well-being of persons with disability is taken care of in the Disability Act 2003 and the National Disability Policy. Despite existence of a humanitarian policy framework, the well-being of the disabled is compromised in disaster situations within Kisumu County. The humanitarian policy framework limits humanitarian action to response, which compromises the well-being of PWD. The study employed semi-structured questionnaire instruments to gather information on humanitarian policies applicable to PWD in disaster context. From the key findings, the study concludes that the international humanitarian policies as well as national humanitarian policies are restrictive in nature. The policy lacks enforcement and implementation mechanisms to support the wellbeing of persons with disability in disasters.
Journal Article
A machine learning workflow for raw food spectroscopic classification in a future industry
Over the years, technology has changed the way we produce and have access to our food through the development of applications, robotics, data analysis, and processing techniques. The implementation of these approaches by the food industry ensure quality and affordability, reducing at the same time the costs of keeping the food fresh and increase productivity. A system, as the one presented herein, for raw food categorization is needed in future food industries to automate food classification according to type, the process of algorithm approaches that will be applied to every different food origin and also for serving disabled people. The purpose of this work was to develop a machine learning workflow based on supervised PLS regression and SVM classification, towards automated raw food categorization from FTIR. The system exhibited high efficiency in multi-class classification of 7 different types of raw food. The selected food samples, were diverse in terms of storage conditions (temperature, storage time and packaging), while the variability within each food was also taken into account by several different batches; leading in a classifier able to embed this variation towards increased robustness and efficiency, ready for real life applications targeting to the digital transformation of the food industry.
Journal Article
Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments
Background
Recent advances in wearable sensor technologies enable objective and long-term monitoring of motor activities in a patient’s habitual environment. People with mobility impairments require appropriate data processing algorithms that deal with their altered movement patterns and determine clinically meaningful outcome measures. Over the years, a large variety of algorithms have been published and this review provides an overview of their outcome measures, the concepts of the algorithms, the type and placement of required sensors as well as the investigated patient populations and measurement properties.
Methods
A systematic search was conducted in MEDLINE, EMBASE, and SCOPUS in October 2019. The search strategy was designed to identify studies that (1) involved people with mobility impairments, (2) used wearable inertial sensors, (3) provided a description of the underlying algorithm, and (4) quantified an aspect of everyday life motor activity. The two review authors independently screened the search hits for eligibility and conducted the data extraction for the narrative review.
Results
Ninety-five studies were included in this review. They covered a large variety of outcome measures and algorithms which can be grouped into four categories: (1) maintaining and changing a body position, (2) walking and moving, (3) moving around using a wheelchair, and (4) activities that involve the upper extremity. The validity or reproducibility of these outcomes measures was investigated in fourteen different patient populations. Most of the studies evaluated the algorithm’s accuracy to detect certain activities in unlabeled raw data. The type and placement of required sensor technologies depends on the activity and outcome measure and are thoroughly described in this review. The usability of the applied sensor setups was rarely reported.
Conclusion
This systematic review provides a comprehensive overview of applications of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments. It summarizes the state-of-the-art, it provides quick access to the relevant literature, and it enables the identification of gaps for the evaluation of existing and the development of new algorithms.
Journal Article
Design and ergonomic evaluation of nursing clothing for disabled people with one side of body
In order to explore the relationship between the degree of nursing difficulty and the opening and closing modes of clothing, three style of clothing with different opening and closing modes were designed and its ergonomic performance was intensively investigated with help of objective experimental data and subjective comfort evaluation. Experimental results showed that the opening and closing modes of nursing clothing could significantly affect the difficulty of nursing. And found the newly designed clothing (NO.2 and NO.3) had better ergonomic performance in clothing style and structure than the in-service one (NO.1*). In addition, fuzzy comprehensive evaluation method was applicable to ergonomic evaluation of clothing. Therefore, this finding is not only helpful to understand the effect of the opening and closing modes of clothing on nursing difficulty, but also provided reference for consumers in their decision making for buying clothes for disabled people with one side of their body.
Journal Article
Impact of food quality on the economic security of the region
The article outlines the importance of food quality in ensuring the safety of the region. The main directions of reducing the quality of food have been determined. The statistics of the increase in the number of persons suffering from alimentary diseases is presented. The growth of food-dependent diseases has been demonstrated. Information is provided on the dynamics of the number of disabled people among children and adults, the number of persons of draft age, unfit for military service. Conclusions are made about the effectiveness of measures aimed at increasing the efficiency of using the labor potential of the region. Measures aimed at improving the working-age population by improving the quality of food are outlined.
Journal Article
A Social History of Disability in the Middle Ages
What was it like to be disabled in the Middle Ages? How did people become disabled? Did welfare support exist? This book discusses social and cultural factors affecting the lives of medieval crippled, deaf, mute and blind people, those nowadays collectively called \"disabled.\" Although the word did not exist then, many of the experiences disabled people might have today can already be traced back to medieval social institutions and cultural attitudes.
This volume informs our knowledge of the topic by investigating the impact medieval laws had on the social position of disabled people, and conversely, how people might become disabled through judicial actions; ideas of work and how work could both cause disability through industrial accidents but also provide continued ability to earn a living through occupational support networks; the disabling effects of old age and associated physical deteriorations; and the changing nature of attitudes towards welfare provision for the disabled and the ambivalent role of medieval institutions and charity in the support and care of disabled people.
eBook
The Distinction Between Curative and Assistive Technology
Disability activists have sometimes claimed their disability has actually increased their well-being. Some even say they would reject a cure to keep these gains. Yet, these same activists often simultaneously propose improvements to the quality and accessibility of assistive technology. However, for any argument favoring assistive over curative technology (or vice versa) to work, there must be a coherent distinction between the two. This line is already vague and will become even less clear with the emergence of novel technologies. This paper asks and tries to answer the question: what is it about the paradigmatic examples of curative and assistive technologies that make them paradigmatic and how can these defining features help us clarify the hard cases? This analysis will begin with an argument that, while the common views of this distinction adequately explain the paradigmatic cases, they fail to accurately pick out the relevant features of those technologies that make them paradigmatic and to provide adequate guidance for parsing the hard cases. Instead, it will be claimed that these categories of curative or assistive technologies are defined by the role the technologies play in establishing a person’s relational narrative identity as a member of one of two social groups: disabled people or non-disabled people.
Journal Article
The effect of disability insurance receipt on labor supply
This paper exploits the effectively random assignment of judges to Disability Insurance cases to estimate the causal impact of Disability Insurance receipt on labor supply. We find that benefit receipt reduces labor force participation by 26 percentage points three years after a disability determination decision, although the reduction is smaller for older people, college graduates, and those with mental illness. OLS and instrumental variables estimates are similar. Furthermore, over 60 percent of those denied benefits by an administrative law judge are subsequently allowed benefits within ten years, showing that most applicants apply, reapply, and appeal until they get benefits.
Journal Article