scholarly journals Design of a Personal Mobility Device for Elderly Users

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Natthanon Phannil ◽  
Chaiyan Jettanasen

The ageing society has resulted in imbalances in the population age ratio. The ratio of working-age people was less than that of elderly people resulting in a shortage of elderly caregivers and increased healthcare costs. Although the lifestyle the elderly remains the same, their physical abilities are reduced, requiring them to rely on special equipment when traveling in order to gain more control and safety. Therefore, the Elderly Personal Mobility Device (EPMD) is developed using Internet of Things (IoT) technology to reduce the burden of caregivers, provide freedom and safety for elderly travelers, assess air pollution risks, and alert the occurrence of emergency events. The EPMD is designed in terms of structure, electrical equipment, and sensor systems. First, the shapes, sizes, and thicknesses of the carbon steel used for construction of the EPMD structure are calculated by using SolidWorks software. Next, the electric equipment is carefully selected to meet the requirements of actual use. Finally, the sensor system is designed to monitor the EPMD status and air quality using IoT devices to create a data interface and big data for elderly health service development, as well as an air quality map with distributed measuring stations and a charging station detection system for future use.

2017 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Amirul Amin Ismail ◽  
Ismail Samsuddin ◽  
Azman Zainonabidin ◽  
Harlina Mohd Ali

By the year 2030, Malaysian population will experience the after effects of the rapid growth of ageing society. This paper investigates the impact of seamless integration of horticultural activity in the new residential typology of retirement community. It is believed that horticultural therapy is not only beneficial for physical and psychological but also promotes socialisation opportunities among the elderly. Comparative analysis method on selected precedent studies has been carried out and analysed in accordance with Malaysian context. Initial findings indicate that a retirement community with horticultural activity gives therapy for healthier well-being. This therapeutic activity can be apositive change in elderly lifestyle and essential towards the establishment of retirement community in Malaysia. 


2003 ◽  
Vol 35 (5) ◽  
pp. 909-929 ◽  
Author(s):  
Gordon Mitchell ◽  
Danny Dorling

This paper presents the results of the first national study of air quality in Britain to consider the implications of its distribution across over ten thousand local communities in terms of potential environmental injustice. We consider the recent history of the environmental justice debate in Britain, Europe, and the USA and, in the light of this, estimate how one aspect of air pollution, nitrogen dioxide (NO2) levels, affects different population groups differentially across Britain. We also estimate the extent to which people living in each community in Britain contribute towards this pollution, with the aid of information on the characteristics of the vehicles they own. We find that, although community NO x emission and ambient NO2 concentration are strongly related, the communities that have access to fewest cars tend to suffer from the highest levels of air pollution, whereas those in which car ownership is greatest enjoy the cleanest air. Pollution is most concentrated in areas where young children and their parents are more likely to live and least concentrated in areas to which the elderly tend to migrate. Those communities that are most polluted and which also emit the least pollution tend to be amongst the poorest in Britain. There is therefore evidence of environmental injustice in the distribution and production of poor air quality in Britain. However, the spatial distribution of those who produce and receive most of that pollution have to be considered simultaneously to see this injustice clearly.


2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Ning Liu ◽  
Dedi Zhang ◽  
Zhong Su ◽  
Tianrun Wang

The aging population has become a growing worldwide problem. Every year, deaths and injuries caused by elderly people's falls bring huge social costs. To reduce the rate of injury and death caused by falls among the elderly and the following social cost, the elderly must be monitored. In this context, falls detecting has become a hotspot for many research institutions and enterprises at home and abroad. This paper proposes an algorithm framework to prealarm the fall based on fractional domain, using inertial data sensor as motion data collection devices, preprocessing the data by axis synthesis and mean filtering, and using fractional-order Fourier transform to convert the collected data from time domain to fractional domain. Based on the above, a multilayer dichotomy classifier is designed, and each node parameter selection method is given, which constructed a preimpact fall detection system with excellent performance. The experiment result demonstrates that the algorithm proposed in this paper can guarantee better warning effect and classification accuracy with fewer features.


Author(s):  
TSD Koh ◽  
YL Woo ◽  
TH Wong ◽  
MH Tan

Introduction: Personal mobility devices (PMDs), such as electronic scooters or motorised bicycles, are efficient modes of transportation. Their recent popularity has also resulted in an increase in PMD-related injuries. We aimed to characterise and compare the nature of injuries sustained by PMD users and bicycle riders. Methods: This retrospective study compared injury patterns among PMD and bicycle users. 140 patients were admitted between November 2013 and September 2018. Parameters studied included patients’ demographics (e.g. age, gender and body mass index), type of PMD, nature of injury, surgical intervention required, duration of hospitalisation and time off work. Results: Of 140 patients, 46 (32.9%) patients required treatment at the department of orthopaedic surgery. 19 patients were PMD users while 27 were bicycle riders. 16 (84.2%) patients with PMD-related injuries were men. PMD users were significantly younger (mean age 45 ± 15 years) when compared to bicycle riders (mean age 56 ±17 years; p < 0.05). A quarter (n = 5, 26.3%) of PMD users sustained open fractures and over half (n = 10, 52.6%) required surgical intervention. Among 27 bicycle users, 7.4% (n = 2) of patients sustained open fractures and 70.4% (n = 19) required surgical intervention. Both groups had comparable inpatient stay duration and time off work. Conclusion: PMD-related orthopaedic traumas are high-energy injuries, with higher rates of open fractures, when compared to bicycle injuries. In addition, PMD users are significantly younger and of economically viable age. Prolonged hospitalisation and time off work have socioeconomic implications. Caution should be exercised when using PMDs.


2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i12-i42
Author(s):  
J Butler ◽  
T Welford

Abstract Introduction Prolonged bedrest amongst the elderly causes deconditioning leading to; increased hospital length of stay, additional social costs and decreased quality of life. An audit on an acute geriatric ward in November 2018, found that over a third of patients medically fit (PMF) to sit out remained in bed all day. Therefore, a service development initiative was undertaken, addressing the misconception that keeping elderly patients in bed is safe, when in fact, unintentional harm results. Method In a root cause analysis, four main reasons for bedrest were identified: risk aversion, unknown function, widespread “bed is safe” culture and lack of equipment. The project tasked getting PMF out of bed each day and was audited daily from November 2018 to present, involving all members of the multi-disciplinary team (MDT) and using a “plan, do, study, act” approach. Results Initially, the project showed an increase in percentage of PMF sitting out each day, but this subsequently decreased with winter pressures. However, for a whole year (February 2019–February 2020) a sustained and significant improvement was achieved (64.3%–89.7%). The pre-COVID19 period (February–March 2020) saw fluctuations in PMF sitting out. Data collection halted during the COVID19 peak, although observationally most patients remained in bed. Auditing resumed from June 2020 (COVID19 recovery phase) which showed a steady increase in PMF out of bed, with recent figures surpassing pre-COVID19 levels (97.8%). Conclusion Cultural change takes time to embed and needs persistent reviewing by a dedicated and engaged MDT. Improvements were made through more accessible doctor’s advice, better MDT education and communication, daily feedback of data and sourcing additional equipment. Disruption to working patterns over the COVID19 period made this unachievable and the project lost impetus. In the COVID19 recovery phase, the specialized MDT reformed and worked successfully to restore the cultural change as evidenced by audited data.


2001 ◽  
Vol 7 (3) ◽  
pp. 254-261
Author(s):  
Petras Čyras ◽  
Mecislavas Griškevičius

In 1999, there were 14 002 fires in Lithuania. Their losses reached 24 mill Litas. Comparing with 1998, the number of fires increased by 50,2% and loss—10.4%. Fires destroyed 1006 buildings, 215 vehicles, 4,4 tons of grain and other technical cultures. In 1999, 202 inhabitants died during fires in Lithuania, 13 including children; 214 inhabitants were wounded. For 10 000 inhabitants were 37.8 fires. In 1999 there were 10.11% arsons in Lithuania. The most of fires were in open places, in forests, in meadows and peat bogs. 35% of fires occurred in dwelling sector. The essential fire causes are: careless contact with fire (49.66%), violation electrical equipment rules (11.06%), naughty children (9.11%). 4412 duty persons are working in Lithuanian fire and rescue service. Fire and rescue service has 44 branches in the cities. 430 duty persons guard three the most important industrial objects. 202 firemen brigades are financed from the magistrate budgets. They include 2225 staff. In 1999 State inspectorate for fire prevention worked effectively. New statute, instruction of work organisation was prepared, all-important industrial objects were inspected. The strategical work of branches was improved. 28% of fires were eliminated faster than in 15 minutes, the number of fires which elimination takes more than 2 hours decreased. In 1999, Lithuanian fire and rescue brigades made 5781 rescue works. 800 of them were car accidents, 305—search for drowned men, and 9 people were saved in the water. Diving training section was established in the firemen training centre. Officials raise their qualification constantly. 1301 officials have a qualification category. In 1999, 202 privates and 18 officers were trained in the firemen training centre, 980 privates and 206 officers were requalified. 102 officials were retrained with the help of Norway firemen association. 24 Lithuanian officials raised their qualification in Sweden and 22 in Denmark. 51 divers were trained and 74 divers got their rating. Priorities of work: further reorganisation of Fire and rescue service; development of legal regulations; improvement of fire-fighters training and further qualification raising process; widening of rescue works spectrum; better supply of technical equipment of Fire brigades.


2018 ◽  
Vol 17 (s) ◽  
pp. 93-93
Author(s):  
R. Estrada ◽  
Y. Delahoz ◽  
G. Johson ◽  
M. Labrador

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.


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