Recognizing Physical Activity of hospitalized Older People from Wearable Sensors Data using IoT

2022 ◽  
Vol 12 (1) ◽  
pp. 0-0
Keyword(s):  
Technical Assistance ◽  
Performance Metrics ◽  
Wearable Sensors ◽  
Critical Role ◽  
Elderly Person ◽  
The Elderly ◽  
Classification Algorithms ◽  
Complex Task ◽  
Almost All ◽  
Different Sources

The IoT is a new concept that provides a world where smart, connected, embedded systems operate, giving rise to the amount of data from different sources that are considered to have highly useful and valuable information. Data mining would play a critical role in creating smarter IoT. Traditional care of an elderly person is a difficult and complex task. The need to have a caregiver with the elderly person almost all the time drains the human and financial resources of the health care system. The emergence of Artificial intelligence has allowed the conception of technical assistance where it helps and reduces the time spent by the caregiver with the elderly person. This work aims to focus on analyzing techniques that are used for prediction purposes of falls in the elderly. We examine the applicability of three classification algorithms for IoT data. These algorithms are analyzed and a comparative study is undertaken to find the classifier that performs the best analysis on the dataset using a set of predefined performance metrics to compare the results of each classifier.

PHYSICOCHEMICAL AND MICROBIOLOGICAL EVALUATION OF HONEYS CONSUMED BY THE ELDERLY

2020 ◽  
Vol 5 ◽  
Author(s):  
Lusmarina Rodrigues Silva ◽  
Aline Marques Monte ◽  
Rafael Gomes Abreu Bacelar ◽  
Guilherme Antonio Silva Ribeiro ◽  
Aline Maria Dourado Rodrigues ◽  
...  
Keyword(s):  
Health Center ◽  
Reducing Sugars ◽  
The Elderly ◽  
Indicator Bacteria ◽  
Foreign Matter ◽  
Total Sugars ◽  
Significant Contamination ◽  
Almost All ◽  
Microbiological Analyses ◽  
Current Standards

Objective: to analyze physicochemical, microbiological and dirt parameters in marketed honeys, consumed by the elderly cared for at Integrated Health Center in Teresina, Piauí, Brazil. Method: the following analyses were performed: color, water activity, humidity, ash, pH, acidity, reducing sugars, total sugars, apparent sucrose and insoluble solids. Contamination indicator bacteria, mesophilic microorganisms, filamentous fungi and yeasts, as well as dirt and foreign matter, performed in the period from April to June 2016. Results: analyses of ash, pH, acidity and insoluble solids were outside current standards. Microbiological analyses did not present significant contamination. Also, analyses of dirt showed insect fragments, foreign matter in almost all the samples. Conclusion: parameters of ash, pH, acidity and insoluble solids, as well as dirt and foreign matter, indicated that the samples were not in accordance with current legislation. 

HOME CARE IN OUTPATIENT CARE – STATE AND DEVELOPMENT IN BULGARIA

2018 ◽  
Vol 28 (2) ◽  
pp. 571-574
Author(s):  
Ivanka Stambolova ◽  
Stefan Stambolov
Keyword(s):  
Home Care ◽  
Outpatient Care ◽  
Care Service ◽  
Elderly Care ◽  
Care Center ◽  
Elderly Person ◽  
Chronically Ill ◽  
The Elderly ◽  
Legal Regulation ◽  
Health And Social Care

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“.

scholarly journals Smart Wearable Sensors Based on Triboelectric Nanogenerator for Personal Healthcare Monitoring

Micromachines ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 352
Author(s):  
Ruonan Li ◽  
Xuelian Wei ◽  
Jiahui Xu ◽  
Junhuan Chen ◽  
Bin Li ◽  
...  
Keyword(s):  
Medical Care ◽  
Health Monitoring ◽  
Wearable Sensors ◽  
The Elderly ◽  
The Body ◽  
Assessment System ◽  
Triboelectric Nanogenerator ◽  
Personal Healthcare ◽  
Healthcare Monitoring ◽  
Smart Wearable

Accurate monitoring of motion and sleep states is critical for human health assessment, especially for a healthy life, early diagnosis of diseases, and medical care. In this work, a smart wearable sensor (SWS) based on a dual-channel triboelectric nanogenerator was presented for a real-time health monitoring system. The SWS can be worn on wrists, ankles, shoes, or other parts of the body and cloth, converting mechanical triggers into electrical output. By analyzing these signals, the SWS can precisely and constantly monitor and distinguish various motion states, including stepping, walking, running, and jumping. Based on the SWS, a fall-down alarm system and a sleep quality assessment system were constructed to provide personal healthcare monitoring and alert family members or doctors via communication devices. It is important for the healthy growth of the young and special patient groups, as well as for the health monitoring and medical care of the elderly and recovered patients. This work aimed to broaden the paths for remote biological movement status analysis and provide diversified perspectives for true-time and long-term health monitoring, simultaneously.

scholarly journals AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1889
Author(s):  
Francisco Luna-Perejón ◽  
Luis Muñoz-Saavedra ◽  
Javier Civit-Masot ◽  
Anton Civit ◽  
Manuel Domínguez-Morales
Keyword(s):  
Elderly Person ◽  
Fall Detection ◽  
The Elderly ◽  
Daily Life Activities ◽  
Learning Classifier ◽  
The People ◽  
Activity Types ◽  
Remote Monitoring Systems ◽  
Secondary Study

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.

The Mental Efficiency of the Elderly Person with Type II Diabetes Mellitus

1990 ◽  
Vol 38 (5) ◽  
pp. 505-510 ◽  
Author(s):  
Richard C. U'Ren ◽  
Matthew C. Riddle ◽  
Muriel D. Lezak ◽  
Margaret Bennington-Davis
Keyword(s):  
Diabetes Mellitus ◽  
Type Ii Diabetes ◽  
Elderly Person ◽  
The Elderly ◽  
Type Ii Diabetes Mellitus ◽  
Type Ii ◽  
Mental Efficiency

Strategies for Teaching Elders From a Human Development Perspective

1996 ◽  
Vol 22 (1) ◽  
pp. 47-52 ◽  
Author(s):  
JESSIE H. AHRONI
Keyword(s):  
Health Status ◽  
Human Development ◽  
Diabetes Education ◽  
The Elderly ◽  
Coping Resources ◽  
Healthcare Team ◽  
Bodily Function ◽  
Development And Aging ◽  
Almost All ◽  
Development Perspective

Diabetes is a disease that challenges all people to learn, change, and develop. Older people can be taught about diabetes from a human development perspective using Erikson's psychosocial theory of development. Developmental changes in appearance, bodily function, and health status confront almost all persons in later years. If an individual does not have coping resources or a history of successful coping, changes in health status during aging can constitute serious crises. It is important to look at and work with individuals from the context of their entire life cycle rather than in a fixed period of time. The diabetes healthcare team can make more effective use of the theories of human development and aging to enhance the effectiveness of diabetes education for the elderly.

Revising the Assumption that Ḥadīṯ Studies Flourished in the 11th/17th-Century Ḥiǧāz: Ibrāhīm al-Kūrānī’s (d. 1101/1690) Contribution

Arabica ◽  
2021 ◽  
Vol 68 (1) ◽  
pp. 1-35
Author(s):  
Naser Dumairieh
Keyword(s):  
General Framework ◽  
18Th Century ◽  
Critical Role ◽  
17Th Century ◽  
Main Interest ◽  
Islamic World ◽  
The Core ◽  
Revival Movement ◽  
Almost All

Abstract The Ḥiǧāz in the 11th/17th century has long been considered the center of a “revival” movement in ḥadīṯ studies. This assumption has spread widely among scholars of the 11th-/17th- and 12th-/18th-century Islamic world based on the fact that the isnāds of many major ḥadīṯ scholars from almost all parts of the Islamic world from the 11th/17th century onward return to a group of scholars in the Ḥiǧāz. The scholarly group that is assumed to have played a critical role in the flourishing of ḥadīṯ studies in the 11th/17th-century Ḥiǧāz is called the al-Ḥaramayn circle or network. However, to date, there have been no studies that investigate what was actually happening in that century concerning ḥadīṯ studies. Examining the actual ḥadīṯ studies of one of the scholars at the core of al-Ḥaramayn circle, i.e. Ibrāhīm b. Ḥasan al-Kūrānī, will unpack the main interest of Ḥiǧāzī scholars in ḥadīṯ literature, reveal previously unstudied aspects of ḥadīṯ studies in the 11th/17th-century Ḥiǧāz, correct some unexamined assumptions, and situate the ḥadīṯ efforts of scholars of the 11th/17th-century Ḥiǧāz within a general framework of developments within ḥadīṯ studies.

Prevention and Control of Trichotomy Infection in the Elderly Surgical Patient: An Umbrella Review

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Teresa Ferreira ◽  
Filipe Orfao ◽  
Cesar Fonseca ◽  
Lara Guedes de Pinho
Keyword(s):  
Health Care ◽  
Narrative Analysis ◽  
Data Extraction ◽  
Elderly Person ◽  
The Elderly ◽  
World Health ◽  
Surgical Patient ◽  
Risk Of Infection ◽  
Umbrella Review ◽  
And Control

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.

scholarly journals Home-based oral healthcare strategies of elderly people with Alzheimer's disease

2016 ◽  
Vol 19 (5) ◽  
pp. 851-860 ◽  
Author(s):  
Alessandra Martins Ferreira Warmling ◽  
Silvia Maria Azevedo dos Santos ◽  
Ana Lúcia Schaefer Ferreira de Mello
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Health Care ◽  
Oral Health ◽  
Elderly Person ◽  
The Elderly ◽  
Oral Health Care ◽  
University Graduates ◽  
Elderly Persons ◽  
Home Based

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.

scholarly journals A Context-Aware Accurate Wellness Determination (CAAWD) Model for Elderly People Using Lazy Associative Classification

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1613 ◽  
Author(s):  
Farhan Sabir Ujager ◽  
Azhar Mahmood
Keyword(s):  
Elderly People ◽  
Data Extraction ◽  
Contextual Information ◽  
Elderly Person ◽  
The Elderly ◽  
Sensor Nodes ◽  
Behavior Patterns ◽  
Context Aware ◽  
Classification Rules ◽  
Training Time

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.

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