Towards a Quantified-Self web application for seniors' self-tracking

Purpose The purposes of this study were, first, to (re)design the user-interface of the activity tracker known as the MOX with the help of input from elderly individuals living independently and, second, to assess the use of and experiences with the adapted Measure It Super Simple (MISS) activity tracker in daily life. Methods The double diamond method, which was used to (re)design the user-interface, consists of four phases: discover, define, develop, and deliver. As a departure point, this study used a list of general design requirements that facilitate the development of technology for the elderly. Usage and experiences were assessed through interviews after elderly individuals had used the activity tracker for 2 weeks. Results In co-creation with thirty-five elderly individuals (65 to 89-years-old) the design, feedback system, and application were further developed into a user-friendly interface: the Measure It Super Simple (MISS) activity. Twenty-eight elderly individuals (65 to 78-years-old) reported that they found the MISS activity easy to use, needed limited help when setting the tracker up, and required limited assistance when using it during their daily lives. Conclusions This study offers a generic structured methodology and a list of design requirements to adapt the interface of an existing activity tracker consistent with the skills and needs of the elderly. The MISS activity seemed to be successfully (re)designed, like the elderly who participated in this pilot study reported that anyone should be able to use it. IMPLICATIONS FOR REHABILITATION This study provides an overview of important characteristics of the activity tracker interface for elderly individuals that can be used when choosing an appropriate activity tracker. This study can serve as a model that demonstrates how to adapt other eHealth and mHealth tools to improve the user-centred design. The MISS activity seems to be an elderly-friendly activity tracker that can facilitate a meaningful experience.

In the past few years, party has played a more and more important role in people's daily life. However, it is not that easy to organize a satisfying party, for the reason that the organizer must consider many details and every member's personal need. In order to help people with this kind of problem, a new and effective tool is needed and we think that an application can be a perfect solution. In this paper, we develop a new Android application, which simplifies the organizing of parties. We also design a specific recommendation algorithm, which helps to offer the organizer some suitable party places, based on people's previous choice, the position of the user, and the evaluations from some review sites. Moreover, using the database deployed on the cloud, our application provides convenience for party members to vote for time or places and for organizers to collect the voting information. The friendly user interface and the use of specific map API make the application more applicable.

This chapter presents the differences between left- and right-handed persons in the aspect of computer-presented information and virtual realities. It introduces five test scenarios and their results addressing this question. We showed that there are moderate differences between groups preferring different hands. The different needs of left- and right-handed people may play an important role in user-friendly interface and virtual environment design, since about a tenth of the population is left-handed. This could help to undo the difficulties that the left-handed and ambidextrous routinely encounter in their daily lives.

Gait assessments in standardized settings, as part of the clinical follow-up of children with cerebral palsy (CP), may not represent gait in daily life. This study aimed at comparing gait characteristics in laboratory and real life settings on the basis of multiple parameters in children with CP and with typical development (TD). Fifteen children with CP and 14 with TD wore 5 inertial sensors (chest, thighs and shanks) during in-laboratory gait assessments and during 3 days of daily life. Sixteen parameters belonging to 8 distinct domains were computed from the angular velocities and/or accelerations. Each parameter measured in the laboratory was compared to the same parameter measured in daily life for walking bouts defined by a travelled distance similar to the laboratory, using Wilcoxon paired tests and Spearman’s correlations. Most gait characteristics differed between both environments in both groups. Numerous high correlations were found between laboratory and daily life gait parameters for the CP group, whereas fewer correlations were found in the TD group. These results demonstrated that children with CP perform better in clinical settings. Such quantitative evidence may enhance clinicians’ understanding of the gap between capacity and performance in children with CP and improve their decision-making.

Cross-cultural adaptation of the Arabic version of Self-Care Domain of Child Engagement in Daily Life and Ease of Caregiving for Children measures

BackgroundGait speed is a widely used outcome measure to assess the walking abilities of children undergoing rehabilitation. It is routinely determined during a walking test under standardized conditions, but it remains unclear whether these outcomes reflect the children's performance in daily life. An ankle-worn inertial sensor provides a usable opportunity to measure gait speed in the children's habitual environment. However, sensor-based gait speed estimations need to be accurate to allow for comparison of the children's gait speed between a test situation and daily life. Hence, the first aim of this study was to determine the measurement error of a novel algorithm that estimates gait speed based on data of a single ankle-worn inertial sensor in children undergoing rehabilitation. The second aim of this study was to compare the children’s gait speed between standardized and daily life conditions.MethodsTwenty-four children with walking impairments completed four walking tests at different speeds (standardized condition) and were monitored for one hour during leisure or school time (daily life condition). We determined accuracy by comparing sensor-based gait speed estimations with a reference method in both conditions. Eventually, we compared individual gait speeds between the two conditions.ResultsThe measurement error was 0.01 ± 0.07 m/s under the standardized and 0.04 ± 0.06 m/s under the daily life condition. Besides, the majority of children did not use the same speed during the test situation as in daily life.ConclusionThis study demonstrates an accurate method to measure children's gait speed during standardized walking tests and in the children's habitual environment after rehabilitation. It only requires a single ankle sensor, which potentially increases wearing time and data quality of measurements in daily life. We recommend placing the sensor on the less affected side, unless the child wears one orthosis. In this latter case, the sensor should be placed on the side with the orthosis. Moreover, this study showed that most children did not use the same speed in the two conditions, which encourages the use of wearable inertial sensors to assess the children's walking performance in their habitual environment following rehabilitation.

Objective Activities of daily living are activities that are formed in order to take care of the body and are essential for life and well-being and fundamental survival. These activities begin in infancy and are modified at different stages of development. Cultural values, parental expectations, social routines, and the physical environment influence daily activities. Concerns about children's use of time and daily activities are not new, but studies on them are rare. So to have more information and knowledge about children's lives and well-being, we need to have more information about their daily activities. The aim of this study was to investigate the time allocated to daily life activities based on the day of the week, age and gender in healthy children under 5 years in Isfahan. Materials & Methods In this survey (descriptive-analytical) study in which healthy children under 5 years old in Isfahan were present, from different age groups according to the population of that age group, 240 girls and boys so that the number of girls and boys were equal in the age categories of less than 1 month, 2 to 3 months, 4 to 6 months, 7 to 12 months, 1 to 2 years and 3 to 5 years, were selected by multi-stage, stratified, cluster and convenience sampling . In order to collect research data, demographic questionnaire and time use diary tools were used. Results The results showed that on weekdays, among the components of daily life activities, the most time with an average of 150.59 minutes per day is devoted to eating (and drinking) and the least time with an average of 0.02% per day is devoted to caring of Personal belongings, while in the last days on average the most time is spent eating (and drinking) and the least time is spent on other daily activities. In different age groups on weekdays, infants 0 to 1 month with an average of 273.35 minutes per day have the most time and children 25-60 months with an average of 154.65 minutes per day have the least time devoted to daily life activities on weekdays. Meanwhile, infants in the age group of 0-1 months on a weekend spent the most time on daily activities and children in the age group of 25-60 months spent the least time on daily activities. Girls and boys spent the most time eating (and drinking) among the activities of daily living on a weekend, while boys and girls spent the least time on other daily activities that are not categorized in this study. There was no significant difference Between the time allocated to daily life activities on weekdays and weekends and between the time allocated by girls and boys under 5 years old living in Isfahan on one day a week to activity of daily livings, both on weekdays and weekends (P>0.05). However, there is a significant difference between the time use of daily life activities in different age groups on weekdays and weekends (P<0.05), and finally, there is a difference between the time allocated to daily life activities on one day of the week and the weekend (P<0.05). Conclusion According to the results of the present study, age groups and days of the week are influential factors on daily activities, but gender has no effect on daily activity patterns.

Mobile gadgets have become an integral part of our daily lives. The last several years. As a result, providing facilities and services is essential. On the internet, security is becoming more important. Android mobile interacts with automated system devices. The system and mobile device may communicate with one another. Wi-Fi allows them to communicate with one another. The smartphone app may be downloaded and connected to the system from any device that is suitable. Lights, fans, and other electrical equipment may be turned on and off using commands. Air conditioners, etc., as well as setting a timer at home or anywhere else from a mobile device, an organization may be delivered fast and simply. Devices through a user-friendly graphical user interface (GUI), which is any average user will find it simple to use. After that, the system takes action. Respond to these commands by performing the actions specified in the commands and informs the user of the outcome is also visible to the user. Within the Wi-Fi range of an Android mobile application. As a result, designing a home automation system is a good choice. A luxury lifestyle aimed at creating a cutting-edge house Wi-Fi technology is used to create an automation system.

Background and Aims Fatigue is a commonly reported symptom in all stages of chronic kidney disease (CKD) and has a major impact on patients’ daily lives. Until now, predominantly qualitative research has contributed to our knowledge about CKD patients' experiences and perceptions of fatigue, and this knowledge is mostly constrained to the dialysis population. Therefore, the aim of this survey study was to explore in all stages of CKD: 1) patients’ experienced burden of fatigue, its impact on their daily lives, and presumed causes of their fatigue; 2) patients’ experiences and needs related to support, discussion and treatment of fatigue. Method In The Netherlands, a survey was constructed, consisting of twenty multiple-choice questions and six open-ended questions, to assess patients’ demographics; experiences, burden and impact of fatigue; presumed causes of fatigue; perceived social support; and experiences and needs regarding discussion and treatment of fatigue during routine nephrology care. This web-based survey was developed together with and distributed by the Dutch Kidney Patients Association, and all surveys were completed between 10 January 2023 and 23 July 2023. Descriptive statistics were used to summarize the results, also stratified by CKD population (CKD prior to kidney replacement therapy [KRT], dialysis, and kidney transplantation [KT]), sex (male and female), and age (18-50, 50-70, and ≥70 years). Results In total, 385 Dutch patients completed the survey. Participants had a mean (standard deviation) age of 58.2 (13.5) years and 42% was male. Overall, results were quite similar for all CKD populations: CKD prior to KRT (n = 130), dialysis (n = 39), and KT (n = 216). More specifically, fatigue was often experienced in the previous month (range percentages across the CKD populations: 92-100%) and present for longer than 6 months (77-92%). The most frequently reported presumed cause of fatigue was related to the reduced kidney function (41%), followed by treatment-related factors (25%; e.g. medication and dialysis). Patients in all CKD populations reported a high burden of fatigue (76-87%) that belonged in the top three of most burdensome symptoms (79-87%). Compared to elderly patients, younger patients reported more often fatigue in mental, social, and emotional domains; hereby limiting them more often in education/work, social activities, and relationships/family life. In all age groups, the majority of patients experienced barriers in tasks within the household (71-83%). In 32% of all patients, fatigue was never or rarely discussed with the treating physician, with the most important reasons being that patients assumed fatigue is part of their disease, and the lack of attention and efforts from the physician to discuss or treat fatigue. Of those patients who did discuss fatigue, 67% did not receive any advice or treatment from their physician. Of those who did receive advice or treatment (e.g. physical exercise), most patients (58%) believed it did not help to feel less tired. Finally, patients prior to KRT, women, and patients aged 18-50 years, reported more often receiving insufficient social support (42-65%;37-60%). Many of them desired acknowledgment of their debilitating symptom burdens, and more information about treatments and coping strategies for fatigue and its consequences. Conclusion In all stages of CKD, patients experience a high fatigue burden and insufficient support for their fatigue. To address this high symptom burden and patients’ unmet needs, it is important to: structurally measure (the burden of) fatigue in all CKD stages (e.g. using PROMs), strengthen social support for patients who experience fatigue, ensure that symptoms such as fatigue are discussed during consultations, and improve multidisciplinary symptom management with special attention for embedding psychosocial educational support to deal with (the consequences of) fatigue. Further research is needed to develop and implement such multidisciplinary symptom (communication and treatment) strategies into routine nephrology care.

Adolescents' daily lives have been greatly changed by the rapid spread of technology and the increased accessibility of screens. With the pervasive use of screens in daily life, understanding the relationship between screen habits and mental health is crucial. This research investigates the association between different types of screen behavior (social media, video games, and TV viewing) and mental health outcomes among adolescents in Adjara, Georgia. A cross-sectional method was used. A total of 384 samples were collected, and the study focused on two unique age groups, namely those aged 14 to 18 years and 19 to 24 years. The research revealed significant gender- and age-related differences in the association between screen behavior and mental health outcomes. The extensive users of social media, particularly females in the age group 19-24, have comparatively higher rates of depression identified through the self-report scale. Moreover, the research establishes a significant correlation between the levels of anxiety and the use of social networks and highlights the outcomes of screen time. Residency also appears to play the role of an independent variable that affects the mental health of teenage males, notably males aged 14-18, specifically in the context of self-esteem. Cultural and environmental differences such as differences between rural, high mountainous areas of Adjara, where people are more conservative and have less access to the internet, and the urban city center, where screen usage is more prevalent. These differences impacted self-esteem, with males in rural areas reporting higher self-esteem compared to their urban counterparts. Knowledge of these dynamics is crucial in constructing strategies that will ensure healthy screen habits and good mental health.

Science events are encountered in every phase of daily life. These science events can be encountered at home, in business life, or while studying at school. Human beings can learn about these scientific events both informally and formally. Science-related events can often be confusing, even when formally learned. This study, it was aimed to develop a CRPS to investigate whether they learned some science events correctly in daily life. The study was carried out on 313 people from different age and occupational groups living in Edirne, Turkey. To develop a scale, statistical data such as item-total correlation (rit) and item-remainder correlation (rir) coefficients analysis, discrimination analysis, frequency and % values for the answers given by the participants to the items, t-test, Rulon and Cronbach Alpha coefficient transactions have been made. The scale, which started with 35 items, was reduced to 30 items due to the analysis. Cronbach Alpha and Rulon reliability coefficients were found to be 0.85 and 0.87, respectively. It was understood that the scale showed a symmetric-homogeneous distribution. According to these data, it has been determined that some scientific events in daily life can be measured with the knowledge-based approach.

Human activity recognition is a very active research on pervasive computing and mobile health application. Many human activity systems based on inertial measurement unit (IMU) sensor data were proposed in the past few years. These systems mainly use IMU sensor placed on he torso and limbs to collect data and utilize supervised machine learning algorithms on sensor data. One main issue of these systems is that wearing multiple on-body IMU sensors may bring inconvenience to users' daily life. The other issue of these exiting methods is that an activity recognition model that is trained on a specific subject does not work well when being applied to predict another subject's activities since IMU activity data always carry information that is specific to the human subject who conducts the activities. In our work, inspired by the principle of domain adaption, we proposed a new deep-learning activity recognition model based on an adversarial network which can remove the subject-specific information within the IMU activity data and extract subject-independent features shared by the data collected on different subjects. We also for the first time use data collected from insole based IMU sensors on 8 participants for 5 common activities to build a new real world human activity dataset which can minimize the inconvenience for users to wear. We conducted experiments with our new real-world dataset. Results show that our subject independent activity recognition model outperforms state-of-art supervised learning techniques and eliminates the effects of individual differences between subjects successfully. The average recognition accuracy under the leave-one-out (L1O) condition achieves 99.0% which is higher than the performance of traditional human activity recognition system based on CNNs.

This study compared stroke features and poststroke disability in two age groups of patients with ischemic stroke: younger (55 to 70 years) and older (71 to 85 years). Stroke has an impact on daily living in many areas, but whether risk factors, stroke features, and poststroke disability differ between young and old patients with stroke is not so well established. A cohort of 486 ischemic stroke patients aged 55 to 85 years admitted consecutively to the Helsinki University Central Hospital (Finland) between December 1, 1993, and March 31, 1995, were examined 3 months after the index stroke. Structured medical, neurological, and radiological (MRI or CT) examinations, mental status, and emotional examination and interview of a close informant were done. Prestroke and poststroke activities of daily living were assessed with five scales: the Index of ADL, Instrumental Activities of Daily Living Scale, Functional Activities Questionnaire, Blessed Functional Activities Scale, and Barthel Index. History of cardiac failure (P < .001), atrial fibrillation (P < .001), and cardioembolic stroke (P = .011) was more frequent in the older age group, whereas stroke due to large-artery atherosclerosis (P = .048) was more common in the younger age group. The older patients more often had major dominant stroke syndrome (P = .018). Comparison of activities of daily living before and after stroke showed that the older age group deteriorated significantly more than the younger age group after adjustment for sex, education, and living conditions (Barthel Index, P = .005; other scales, P < .0001). The stroke patients in young and old age groups had different risk profiles and stroke features. The older stroke patients were more dependent and disabled beforehand, and after stroke they were relatively even more dependent than the patients in the younger age group. Because older patients already constitute the majority of stroke victims, the importance of early active diagnosis, treatment, rehabilitation, and guidance is stressed.

Background The quality of life of the elderly is influenced by several factors such as physical health, psychological health, and good social relationships. Physical health is related to daily living activities that a person does in his daily life including ambulation, eating, dressing, bathing, brushing teeth and making up. At old age, a person will experience a decrease in physical condition which will affect the value of fulfilling one's daily living activities. This study aims to analyze the relationship between the level of independence of daily living activities and the level of quality of life of geriatric patients. Methods: This study was an observational analytic study with a cross sectional design. The samples were geriatric patients in Dr. Mohammad Hoesin Palembang in September-October 2019. The sample of this study was 55 respondents. Results: From 55 Geriatric patients in Dr. Mohammad Hoesin Palembang found 60% male respondents and 40% female respondents, the 60-74 years age group as much as 74.5%, the 75-90 year age group as much as 25.5%, the 50-60 year age group as much as 26%. Chi-square test results showed a significant relationship between the level of Activity Daily Living and the level of quality of life of geriatric patients (p value = 0.000). The results of the odds ratio in geriatric patients state that the probability of improving the quality of life is 27.7 times greater in patients who have an independent daily living activity level than in patients who have a total dependent daily living activity level. In the analysis, it was also found that the level of daily living activity of geriatric patients is a protective factor for the quality of life of geriatric patients. (95% CI = 0.006-0.206). Conclusion: There is a significant relationship between the level of daily living activity and the quality of life of geriatric patients in , dr. Mohammad Hoesin Palembang.

Functional decline in older adults can lead to an increased need of assistance or even moving to a nursing home. Utilising home automation, power and wearable sensors, our system continuously keeps track of the functional status of older adults through monitoring their daily life and allows health care professionals to create individualised rehabilitation programmes based on the changes in the older adult’s functional capacity and performance in daily life. The system uses the taxonomy of the International Classification of Functioning, Disability and Health (ICF) by the World Health Organization (WHO). It links sensor data to five ICF items from three ICF categories and measures their change over time. We collected data from 20 (pre-)frail older adults (aged ge 75 years) during a 10-month observational randomised pilot intervention study. The system successfully passed the first pre-clinical validation step on the real-world data of the OTAGO study. Furthermore, an initial test with a medical professional showed that the system is intuitive and can be used to design personalised rehabilitation measures. Since this research is in an early stage further clinical studies are needed to fully validate the system.