scholarly journals Mining Productive-associated Periodic Frequent Pattern in Body Sensor Data for Smart Home Care

Author(s):  
Wala Ismail ◽  
Mohammad Mehedi Hassan

The understanding of various health-oriented vital sign data generated from body sensor networks (BSN) and discovery of the association between the generated parameters is an important task that may assist and promote important decision making in healthcare. For example, in a smart home scenario where the occupants’ health status is continuously monitored remotely, it is essential to provide required assistance when an unusual or critical situation is detected in their vital sign data. In this paper, we present an efficient approach to mine the incomplete (partial) periodic patterns obtained from BSN data. In addition, we employ a correlation test on the generated patterns and introduce the productive-associated partial periodic frequent patterns as the set of correlated partial periodical frequent items. The combination of these measures has the advantage of empowering healthcare providers and patients for quality of diagnosis, and also for better treatment and smart care, especially for the elderly people at smart home. We developed an efficient algorithm named PPFP-Growth (Productive Periodic Frequent Pattern growth) to discover all productive associated partial periodic patterns using these measures. PPFP-Growth is efficient, and the productiveness measure removes uncorrelated periodic items. An experimental evaluation on synthetic and real datasets shows the efficiency of the proposed PPFP-Growth algorithm, and can filter a huge number of partial periodic patterns to reveal only the correlated ones.

2021 ◽  
pp. medethics-2020-107185
Author(s):  
Sara Kate Heide

Defining quality of life is a difficult task as it is a subjective and personal experience. However, for the elderly, this definition is necessary for making complicated healthcare-related decisions. Commonly these decisions compare independence against safety or longevity against comfort. These choices are often not made in isolation, but with the help of a healthcare team. When the patient’s concept of quality of life is miscommunicated, there is a risk of harm to the patient whose best interests are not well understood. In order to bridge this gap in understanding and unite seniors with their caretakers as a cohesive team, we need to establish a definition of quality of life. In this paper, my personal experiences with the elderly will be analysed along with five essays on the topic of ageing. These sources provide clear evidence that quality of life for seniors is majorly determined by the ability to preserve one’s lifelong identity. When making difficult decisions in geriatric healthcare, this greater understanding of the determinants of life quality will allow treatments to best serve the elderly. Defining quality of life allows healthcare providers to shift the focus from minimising disability toward maximising ability. I believe this shift would provide seniors with better health outcomes and properly enhance the quality of their years.


2020 ◽  
Vol 79 (47-48) ◽  
pp. 36077-36089
Author(s):  
Francesco Panico ◽  
Gennaro Cordasco ◽  
Carl Vogel ◽  
Luigi Trojano ◽  
Anna Esposito

AbstractAssistive Ambient Living (AAL) in ageing refers to any device used to support ageing related psychological and physical changes aimed at improving seniors’ quality of life and reducing caregivers’ burdens. The diffusion of these devices opens the ethical issues related to their use in the human personal space. This is particularly relevant when AAL technologies are devoted to the ageing population that exhibits special bio-psycho-social aspects and needs. In spite of this, relatively little research has focused on ethical issues that emerge from AAL technologies. The present article addresses ethical issues emerging when AAL technologies are implemented for assisting the elderly population and is aimed at raising awareness of these aspects among healthcare providers. The overall conclusion encourages a person-oriented approach when designing healthcare facilities. This process must be fulfilled in compliance with the general principles of ethics and individual nature of the person devoted to. This perspective will develop new research paradigms, paving the way for fulfilling essential ethical principles in the development of future generations of personalized AAL devices to support ageing people living independently at their home.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1284
Author(s):  
Tae Hee Jo ◽  
Jae Hoon Ma ◽  
Seung Hyun Cha

An integrated smart home system (ISHS) is an effective way to improve the quality of life of the elderly. The elderly’s willingness is essential to adopt an ISHS; to the best of our knowledge, no study has investigated the elderly’s perception of ISHS. Consequently, this study aims to investigate the elderly’s perception of the ISHS by comprehensively evaluating its possible benefits and negative responses. A set of sensors required for an ISHS was determined, and interviews were designed based on four factors: perceived comfort, perceived usability, perceived privacy, and perceived benefit. Subsequently, technological trials of the sensor-set followed by two focus group interviews were conducted on nine independently living elderly participants at a senior welfare center in South Korea. Consistent with previous studies, the results of this investigation indicate that elderly participants elicited negative responses regarding usability complexity, and discomfort to daily activities. Despite such negative responses, after acquiring enough awareness about the ISHS’s benefits, the elderly acknowledged its necessity and showed a high level of willingness. Furthermore, these results indicate that for a better adoption of an ISHS, sufficient awareness regarding its benefits and development of elderly-friendly smart home sensors that minimize negative responses are required.


Author(s):  
Imam Mukhlash ◽  
Desna Yuanda ◽  
Mohammad Iqbal

A convergence of technologies in data mining, machine learning, and a persuasive computer has led to an interest in the development of smart environment to help human with functions, such as monitoring and remote health interventions, activity recognition, energy saving. The need for technology development was confirmed again by the aging population and the importance of individual independent in their own homes. Pattern mining on sensor data from smart home is widely applied in research such as using data mining. In this paper, we proposed a periodic pattern mining in smart house data that is integrated between the FP-Growth PrefixSpan algorithm and a fuzzy approach, which is called as fuzzy-time interval periodic patterns mining. Our purpose is to obtain the periodic pattern of activity at various time intervals. The simulation results show that the resident activities can be recognized by analyzing the triggered sensor patterns, and the impacts of minimum support values to the number of fuzzy-time-interval periodic patterns generated. Moreover, fuzzy-time-interval periodic patterns that are generated encourages to find daily or anomalies resident’s habits.


Salmand ◽  
2021 ◽  
Vol 15 (4) ◽  
pp. 428-439
Author(s):  
Hamid Reza Zendehtalab ◽  
◽  
Zohreh Vanaki ◽  
Robabeh Memarian ◽  
◽  
...  

Objectives: In the geriatric care provided in health centers, the healthy elderly are neglected. This qualitative study aims to improve the quality of geriatric care for the healthy elderly. Methods & Materials: This community-based participatory study was conducted from 2016 to 2018 with the participation of 11 healthcare providers, 54 older people and 54 family members in Shahid Motahari Comprehensive Health Center in Mashhad, Iran. The mean age of healthcare providers was 32.4±2.7 years with a work experience 8.3 years. The mean age of the elderly was 64.3±3.9 years. Data were collected using the SERVQUAL questionnaire and interviews, focus group discussions, and field note taking. After identifying the problems through interviews with 8 personnel and 19 older people, group discussion sessions were held to design the change programs. After implementing the change programs, 30 interviews were conducted with the participants and comparisons were made before and after the programs. Descriptive statistics was used to analyze the qualitative data, and descriptive statistics and paired t-test were used to analyze the quantitative data. Results: The mean total score of service quality according to the elderly and their families in the pre-intervention stage was 63.02±9.46 and 61.83±9.05, respectively. These values reached 130.09±14.75 and 122.65±13.56 in the post-intervention stage, and this difference was statistically significant (P=0.001). The presented dynamic care model was able to improve geriatric care for the healthy elderly in the comprehensive health center by modifying the attitude, skills and empowerment of staff. Conclusion: The dynamic care model can improve the quality of geriatric services for the healthy elderly with features such as active, participatory, continuous, comprehensive and supportive care. It can be used in other health centers.


2000 ◽  
Vol 34 (5) ◽  
pp. 646-655 ◽  
Author(s):  
Julie A Couture ◽  
Luc Valiquette

BACKGROUND: One of the more prevalent conditions associated with aging is urinary incontinence (UI), which may affect up to 55% of women and 34% of men older than 65 years. As a result of increasing longevity in developed nations, the proportion of UI-susceptible individuals continues to grow, presenting clinical and economic challenges to healthcare providers. OBJECTIVE: To assist the clinician in making informed decisions regarding UI, provide information on the wider ramifications of the disease, and provide a comprehensive overview of the condition. DATA SOURCES: MEDLINE (1966–December 1998) was searched for relevant publications using the following search terms: UI, UI in the elderly, treatment of UI, oxybutynin, flavoxate, vasopressin, quality of life in UI, and economic impact of UI. DATA SYNTHESIS: Key articles relating to the etiology, diagnosis, classification, economic burden, quality of life, and treatment of UI were retrieved, and this information formed the basis of the review. CONCLUSIONS: Although UI can be controlled relatively well with existing therapies, only about 50% of affected patients may actually seek care. There are a variety of therapeutic options available for the treatment of UI, although pharmacologic intervention is presently a relatively minor component of overall care; this suggests that effective drug therapy might play a more significant role in the future. The economic burden associated with the care of the incontinent patient is substantial, and in the US the direct medical cost of the disease was estimated at $25.5 billion in 1995. The disease also has a large impact on the individual UI patient, negatively affecting many parameters normally associated with a tolerable health-related quality of life.


Author(s):  
Sofia Veiga ◽  
Carla Serrão

AbstractThis article presents the results of a study developed within the scope of the Project Health Literacy: a challenge in and for the elderly, funded by the Calouste Gulbenkian Foundation. It tried to evaluate the metric qualities of the Newest Vital Sign Test (NVS, Copyright © Pfizer Inc.) applied to elderly; evaluate the degree of health literacy of a sample of elderly Portuguese people; get to know the association between the degree of health literacy and some sociodemographic features, the general health state, and quality of life. It was conducted a quantitative study with 433 adults over 65 years of age, mostly female, and with heterogeneous levels of education. The instrument used was a battery of tests in order to assess the degree of health literacy (Newest Vital Sign), and the quality of life (WHOQOL). The NVS proved to be a reliable and sensitive to changes due to various demographic characteristics instrument. The results indicate that the majority of the participants (80%) showed a level of low health literacy, meaning that only 20% of respondents will be able to interpret and use effectively information related with health. Gender, educational attainment, age and marital status, as well as the perception of the elderly on their general health state and quality of life, proved to be variables that affect significantly the level of health literacy of participants. These results point to the urgent need to enhance health literacy in the elderly population, in general, and among the most vulnerable groups, in particular.


2020 ◽  
Vol 13 (4) ◽  
pp. 19-25
Author(s):  
Christina Girtsou ◽  
Pantelis Stergiannis ◽  
Theoharis Konstantinidis ◽  
Georgios Martinis

Continuity in patient healthcare shows significant gaps and variations, due to reduced communication between healthcare services. The information transfer to all stages of health structures is often inadequate with many variations, especially at the critical stage after discharge from the hospital, in which patients are usually more vulnerable. The major problem of the lack of interconnection between healthcare services occurs mainly among the elderly, the chronically ill and those who take a lot medication. The main effects of this problem are medication side effects, treatment overlap, poor quality of healthcare and financial costs. Enhancing communication, through the electronic interface and the use of the Personal Electronic Health Folder (P.E.H.F.), which will include the individual details of each patient and information about his clinical status, is aiming at the use of best practices for patient recovery by healthcare providers. The thorough literature review, the strategic analysis PESTEL and the control process, pointed out the need to use the P.E.H.F., to achieve substantial improvements in the quality of patient healthcare. With the practical use of P.E.H.F., the healthcare of all patients will be unquestionably, safe, effective, patient-centered, immediate and fair.


Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6037 ◽  
Author(s):  
Damien Bouchabou ◽  
Sao Mai Nguyen ◽  
Christophe Lohr ◽  
Benoit LeDuc ◽  
Ioannis Kanellos

Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of sensors have encouraged the development of smart environments, such as smart homes. Smart homes can offer home assistance services to improve the quality of life, autonomy, and health of their residents, especially for the elderly and dependent. To provide such services, a smart home must be able to understand the daily activities of its residents. Techniques for recognizing human activity in smart homes are advancing daily. However, new challenges are emerging every day. In this paper, we present recent algorithms, works, challenges, and taxonomy of the field of human activity recognition in a smart home through ambient sensors. Moreover, since activity recognition in smart homes is a young field, we raise specific problems, as well as missing and needed contributions. However, we also propose directions, research opportunities, and solutions to accelerate advances in this field.


Sign in / Sign up

Export Citation Format

Share Document