scholarly journals Prototype of Robotic Device for Mobility Assistance for the Elderly in Urban Environments

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3056
Author(s):  
Daniel Leite ◽  
Karla Figueiredo ◽  
Marley Vellasco

This study aims to develop a prototype of an autonomous robotic device to assist the locomotion of the elderly in urban environments. Among the achievements presented are the control techniques used for autonomous navigation and the software tools and hardware applied in the prototype. This is an extension of a previous work, in which part of the navigation algorithm was developed and validated in a simulated environment. In this extension, the real prototype is controlled by an algorithm based on fuzzy logic to obtain standalone and more-natural navigation for the user of the device. The robotic device is intended to guide an elderly person in an urban environment autonomously, although it also has a manual navigation mode. Therefore, the device should be able to navigate smoothly without sudden manoeuvres and should respect the locomotion time of the user. Furthermore, because of the proposed environment, the device should be able to navigate in an unknown and unstructured environment. The results reveal that this prototype achieves the proposed objective, demonstrating adequate behaviour for navigation in an unknown environment and fundamental safety characteristics to assist the elderly.


2018 ◽  
Vol 28 (2) ◽  
pp. 571-574
Author(s):  
Ivanka Stambolova ◽  
Stefan Stambolov

In outpatient care the home care, including hospices, is recognized as a model for providing quality, cost-effective and charitable care. The focus is mainly on the care that helps everyday lifeof the patient as well as the relatives, rather than on treatment, and in most cases it takes place in the patients' home. In Europe, in recent years there has been a real "boom" in home care due to demographic processes linked to increased needs for elderly care and chronically ill under the conditions of limited financial resources.In outpatient medical care in our country by means of a national framework contract there are regulated visits to the patient's home by a doctor, as well as visits by medical staff employed by him - nurse, midwife, medical assistant / paramedic / for manipulation, counseling and monitoring. At the same time there is no regulated legal activity in the Republic of Bulgaria, which is essentially the subject of home care.Since 1994 „Caritas“ has carried out the "Home Care" service, which provides a complex - health and social care for over 360 sick adults in a place where the elderly person feels the most comfortable - in their own home. „Caritas Home Care“ is provided by mobile teams of nurses and social assistants who visit the elderly at home and provide them with the necessary care according to their health and social needs.With the establishment of the first „Home Care Center“ in Lozenets region, Sofia, with the support of the PHARE ACCESS program in 2003, the Bulgarian Red Cross introduces in Bulgaria an integrated model for provision of health care and social services in the home of adults, chronically ill and people with permanent disabilities. To date, there are a number of problems in home care related to the realization of home care for patients in need in out-of-hospital settings: lack of legal regulation for home care, lack of qualified staff in outpatient care; lack of organization and structures for care; unsettled funding and the inability of the part of the population that is most in need of care to pay for it, there is no regulation to control the activity. Although home care began over 20 years ago, our country is yet to make its way to the European program called „Home care in Europe“.



Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1889
Author(s):  
Francisco Luna-Perejón ◽  
Luis Muñoz-Saavedra ◽  
Javier Civit-Masot ◽  
Anton Civit ◽  
Manuel Domínguez-Morales

Falls are one of the leading causes of permanent injury and/or disability among the elderly. When these people live alone, it is convenient that a caregiver or family member visits them periodically. However, these visits do not prevent falls when the elderly person is alone. Furthermore, in exceptional circumstances, such as a pandemic, we must avoid unnecessary mobility. This is why remote monitoring systems are currently on the rise, and several commercial solutions can be found. However, current solutions use devices attached to the waist or wrist, causing discomfort in the people who wear them. The users also tend to forget to wear the devices carried in these positions. Therefore, in order to prevent these problems, the main objective of this work is designing and recollecting a new dataset about falls, falling risks and activities of daily living using an ankle-placed device obtaining a good balance between the different activity types. This dataset will be a useful tool for researchers who want to integrate the fall detector in the footwear. Thus, in this work we design the fall-detection device, study the suitable activities to be collected, collect the dataset from 21 users performing the studied activities and evaluate the quality of the collected dataset. As an additional and secondary study, we implement a simple Deep Learning classifier based on this data to prove the system’s feasibility.



Author(s):  
Ling Qiu ◽  
Qujing Chen ◽  
Tian Gao

The world is facing the challenge of aging populations. Urban natural environments, including green spaces and blue spaces, have been demonstrated to have great benefits to the mental restoration of the elderly. However, the study of the specific characteristics of urban environments that are popular and the most restorative for the elderly is still lacking. Photo elicitation as visual stimuli was utilized to explore the differences in preference and psychological restoration of the elderly through the perception of the eight perceived sensory dimensions (PSDs) in different types of urban environments. The results showed that: (1) The respondents had different perceptions of the eight PSDs in the different urban natural environments. Blue space and partly-closed green space were more preferred by the elderly, and also had more psychological restorative effects on the elderly. (2) There was no significant correlation between the number of highly perceived PSDs and preference, as well as between the number of highly perceived PSDs and psychological restoration. However, there was a significant correlation between preference and psychological restoration. (3) Partly-closed green space with more Serene and Refuge qualities, and blue space with more Serene, Refuge and Prospect properties were optimal characteristics for psychological restoration of the elderly. In addition, open green space with more Prospect, Serene and Social qualities, and closed green space with more Space, Refuge and less Nature properties could also increase psychological restoration of older adults. These findings can provide useful guidelines for restorative environmental design for the elderly in the future.



Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1146 ◽  
Author(s):  
Yincheng Li ◽  
Wenbin Zhang ◽  
Peng Li ◽  
Youhuan Ning ◽  
Chunguang Suo

At present, the method of using unmanned aerial vehicles (UAVs) with traditional navigation equipment for inspection of overhead transmission lines has the limitations of expensive sensors, difficult data processing, and vulnerable to weather and environmental factors, which cannot ensure the safety of UAV and power systems. Therefore, this paper establishes a mathematical model of spatial distribution of transmission lines to study the field strength distribution information around transmission lines. Based on this, research the navigation and positioning algorithm. The data collected by the positioning system are input into the mathematical model to complete the identification, positioning, and safety distance diagnosis of the field source. The detected data and processing results can provide reference for UAV obstacle avoidance navigation and safety warning. The experimental results show that the positioning effect of the positioning navigation algorithm is obvious, and the positioning error is within the range of use error and has good usability and application value.



1990 ◽  
Vol 38 (5) ◽  
pp. 505-510 ◽  
Author(s):  
Richard C. U'Ren ◽  
Matthew C. Riddle ◽  
Muriel D. Lezak ◽  
Margaret Bennington-Davis


2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Teresa Ferreira ◽  
Filipe Orfao ◽  
Cesar Fonseca ◽  
Lara Guedes de Pinho

Introduction: The World Health Organization creates norms and guidelines for the adoption of good practices in health care that are provided to the surgical patient. In order to prevent and control infections associated with health care, the nurse must follow the guidelines for preparing the surgical patient for success. These infections can be particularly harmful to the elderly person given their vulnerability. The preoperative preparation, includes the trichotomy as one of the interventions to be performed, however, is one of the most controversial interventions that has caused in clinical practice, by the potential risk of infection in the surgical patient. Aim: To investigate the need for trichotomy, or removal of hair, in the preparation of the skin of the surgical patient, clarifying which is the most appropriate technique in the prevention of infection. Methodology: we conducted an umbrella review. The documentary research followed the consultation of bibliographic sources in the Cumulative Index to Nursing & Allied Health (CINAHL) and Public/Publisher Medline (PubMed) databases. The researched articles were grouped in a time horizon between 2011 and 2020. Afer data extraction, a narrative analysis was performed. Results: We found 40 articles from which 8 were selected. Conclusion: Trichotomy should be avoided by increasing the risk of infection of the surgical site. Innovative haircut and vacuum technologies can help in hair removal, mitigating the risk of contaminating the surgical incision. The timing of the trichotomy is not consensual among researchers.



2016 ◽  
Vol 19 (5) ◽  
pp. 851-860 ◽  
Author(s):  
Alessandra Martins Ferreira Warmling ◽  
Silvia Maria Azevedo dos Santos ◽  
Ana Lúcia Schaefer Ferreira de Mello

Abstract Objective: To identify strategies used in the oral health care of elderly persons with Alzheimer's disease in the home. Method: an exploratory, descriptive study with a qualitative approach to collecting and analyzing data was performed. Data was collected through interviews with 30 caregivers and analyzed by the content analysis technique. Results: The majority of subjects were female, daughters of the elderly person, university graduates and aged 32-77 years. The strategies identified were grouped into categories according to the participation of the caregiver: does not participate in care actions or oral health assessments; reminds the elderly person about oral hygiene, demonstrates movements and assists with some procedures; directly carries out actions of care. Conclusion: The strategies employed are related to the degree of dependence of the elderly person, as the caregiver acts based on the need for oral health care and the difficulties in carrying out such care.



Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1613 ◽  
Author(s):  
Farhan Sabir Ujager ◽  
Azhar Mahmood

Wireless Sensor Network (WSN) based smart homes are proving to be an ideal candidate to provide better healthcare facilities to elderly people in their living areas. Several currently proposed techniques have implementation and usage complexities (such as wearable devices and the charging of these devices) which make these proposed techniques less acceptable for elderly people, while the behavioral analysis based on visual techniques lacks privacy. In this paper, a context-aware accurate wellness determination (CAAWD) model for elderly people is presented, where behavior monitoring information is extracted by using simple sensor nodes attached to household objects and appliances for the analysis of daily, frequent behavior patterns of elderly people in a simple and non-obtrusive manner. A contextual data extraction algorithm (CDEA) is proposed for the generation of contextually comprehensive behavior-training instances for accurate wellness classification. The CDEA presents an activity’s spatial–temporal information along with behavioral contextual correlation aspects (such as the object/appliance of usage and sub-activities of an activity) which are vital for accurate wellness analysis and determination. As a result, the classifier is trained in a more logical manner in the context of behavior parameters which are more relevant for wellness determination. The frequent behavioral patterns are classified using the lazy associative classifier (LAC) for wellness determination. The associative nature of LAC helps to integrate spatial–temporal and related contextual attributes (provided by CDEA) of elderly behavior to generate behavior-focused classification rules. Similarly, LAC provides high accuracy with less training time of the classifier, includes minimum-support behavior patterns, and selects highly accurate classification rules for the classification of a test instance. CAAWD further introduces the ability to contextually validate the authenticity of the already classified instance by taking behavioral contextual information (of the elderly person) from the caregiver. Due to the consideration of spatial–temporal behavior contextual attributes, the use of an efficient classifier, and the ability to contextually validate the classified instances, it has been observed that the CAAWD model out-performs currently proposed techniques in terms of accuracy, precision, and f-measure.



2015 ◽  
Vol 47 (6) ◽  
pp. 333-339 ◽  
Author(s):  
Marijean Buhse


Author(s):  
Divyanshu Raheja ◽  
Evelyn Davila ◽  
Eric Johnson ◽  
Rijalda Deović ◽  
Michele Paine ◽  
...  

The purpose of this study is to understand among a convenience sample of 400 adults aged 60 years of age or older (1) reasons for being willing or unwilling to participate in a vaccine clinical research study and (2) overall perceptions about vaccine clinical research. A cross-sectional study using a sample of older adults residing in the metro-Atlanta area and surrounding neighborhoods was conducted. The study questionnaire contained 37 questions, including questions about socio-demographics and perceptions about clinical trial processes. Statistical analysis was conducted using logistic regression. The adjusted modeling results indicated that sex, distance to research clinic, and being informed about the research findings played a role in the likelihood of an elderly person participating in a vaccine study. Males were more likely to participate in clinical trials as compared to females (OR: 2.486; CI: 1.042–5.934). Most participants were willing to travel up to 25 miles from the research clinic. Of the respondents, 45% were unlikely to participate if the results of the current trial are not shared. Improving access to clinical trials in terms of distance traveled and ensuring streamlined processes to inform participants about the results of the trial in the future would increase willingness to participate in vaccine clinical trials. The survey could serve as a useful tool for conducting vaccine studies and other clinical trials by understanding the barriers specific to the elderly.



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