62 research outputs found

    a critical review

    Get PDF
    The availability of wearable devices (WDs) to collect biometric information and their use during activities of daily living is significantly increasing in the general population. These small electronic devices, which record fitness and health-related outcomes, have been broadly utilized in industries such as medicine, healthcare, and fitness. Since they are simple to use and progressively cheaper, they have also been used for numerous research purposes. However, despite their increasing popularity, most of these WDs do not accurately measure the proclaimed outcomes. In fact, research is equivocal about whether they are valid and reliable methods to specifically evaluate physical activity and health-related outcomes in older adults, since they are mostly designed and produced considering younger subjects? physical and mental characteristics. Additionally, their constant evolution through continuous upgrades and redesigned versions, suggests the need for constant up-to-date reviews and research. Accordingly, this article aims to scrutinize the state-of-the-art scientific evidence about the usefulness of WDs, specifically on older adults, to monitor physical activity and health-related outcomes. This critical review not only aims to inform older consumers but also aid researchers in study design when selecting physical activity and healthcare monitoring devices for elderly people.DB19-D819-F720 | Carlos Eduardo da Silva TeixeiraN/

    Smart homes for the elderly of rural Oklahoma: A strategy for ethical implementation

    Get PDF
    Smart homes, telemedicine, and robots are often proposed as solutions to the upcoming problem of providing care to millions of older adults. The number of elderly in need of care has risen substantially, the number of available caretakers has not kept pace with demand, and this disparity will only increase as the Baby Boomer generation ages. The care of the elderly, which results in dependency on their part, conflicts with the strong individualism of American society, sometimes causing difficulties between the patient and caretaker(s) when making care decisions. Thus, many ethical concerns have been voiced about smart home technology, from privacy issues to fears of isolation (Fritz, 2015). These concerns vary based on the cultural background of the elderly user, with upper-middle class users feeling more comfortable with the technology (Fritz, 2015). Rural users, who are most in need of the technology due to having fewer nearby healthcare providers, and dementia users, who are in need of the technology to help manage their illness during the early stages while living at home, are the ones who tend to distrust the technology the most (Fritz, 2015). Smart home implementation for the elderly has progressed rapidly in recent years, but research has fallen behind in the sense of connecting theory and practice (Berridge, 2018). As a way to address this, the author proposes a study with researchers in the Dept. of Telemedicine at the OSU Medical School in Tulsa of the rural elderly in Oklahoma, since Oklahoma has approved insurance reimbursement for telemedicine, that would be expanded to include assistive technologies for smart homes in order to try to develop a participatory model for the ethical diffusion of this technology on a mass level

    An IoT based Virtual Coaching System (VSC) for Assisting Activities of Daily Life

    Get PDF
    Nowadays aging of the population is becoming one of the main concerns of theworld. It is estimated that the number of people aged over 65 will increase from 461million to 2 billion in 2050. This substantial increment in the elderly population willhave significant consequences in the social and health care system. Therefore, in thecontext of Ambient Intelligence (AmI), the Ambient Assisted Living (AAL) has beenemerging as a new research area to address problems related to the aging of the population. AAL technologies based on embedded devices have demonstrated to be effectivein alleviating the social- and health-care issues related to the continuous growing of theaverage age of the population. Many smart applications, devices and systems have beendeveloped to monitor the health status of elderly, substitute them in the accomplishment of activities of the daily life (especially in presence of some impairment or disability),alert their caregivers in case of necessity and help them in recognizing risky situations.Such assistive technologies basically rely on the communication and interaction be-tween body sensors, smart environments and smart devices. However, in such contextless effort has been spent in designing smart solutions for empowering and supportingthe self-efficacy of people with neurodegenerative diseases and elderly in general. Thisthesis fills in the gap by presenting a low-cost, non intrusive, and ubiquitous VirtualCoaching System (VCS) to support people in the acquisition of new behaviors (e.g.,taking pills, drinking water, finding the right key, avoiding motor blocks) necessary tocope with needs derived from a change in their health status and a degradation of theircognitive capabilities as they age. VCS is based on the concept of extended mind intro-duced by Clark and Chalmers in 1998. They proposed the idea that objects within theenvironment function as a part of the mind. In my revisiting of the concept of extendedmind, the VCS is composed of a set of smart objects that exploit the Internet of Things(IoT) technology and machine learning-based algorithms, in order to identify the needsof the users and react accordingly. In particular, the system exploits smart tags to trans-form objects commonly used by people (e.g., pillbox, bottle of water, keys) into smartobjects, it monitors their usage according to their needs, and it incrementally guidesthem in the acquisition of new behaviors related to their needs. To implement VCS, thisthesis explores different research directions and challenges. First of all, it addresses thedefinition of a ubiquitous, non-invasive and low-cost indoor monitoring architecture byexploiting the IoT paradigm. Secondly, it deals with the necessity of developing solu-tions for implementing coaching actions and consequently monitoring human activitiesby analyzing the interaction between people and smart objects. Finally, it focuses on the design of low-cost localization systems for indoor environment, since knowing theposition of a person provides VCS with essential information to acquire information onperformed activities and to prevent risky situations. In the end, the outcomes of theseresearch directions have been integrated into a healthcare application scenario to imple-ment a wearable system that prevents freezing of gait in people affected by Parkinson\u2019sDisease

    An analytical comparison of datasets of Real-World and simulated falls intended for the evaluation of wearable fall alerting systems

    Get PDF
    Automatic fall detection is one of the most promising applications of wearables in the field of mobile health. The characterization of the effectiveness of wearable fall detectors is hampered by the inherent difficulty of testing these devices with real-world falls. In fact, practically all the proposals in the literature assess the detection algorithms with โ€˜scriptedโ€™ falls that are simulated in a controlled laboratory environment by a group of volunteers (normally young and healthy participants). Aiming at appraising the adequacy of this method, this work systematically compares the statistical characteristics of the acceleration signals from two databases with real falls and those computed from the simulated falls provided by 18 well-known repositories commonly employed by the related works. The results show noteworthy differences between the dynamics of emulated and real-life falls, which undermines the testing procedures followed to date and forces to rethink the strategies for evaluating wearable fall detectors.Funding for open access charge: Universidad de Mรกlaga / CBUA. This research was funded by FEDER Funds (under grant UMA18-FEDERJA-022), Andalusian Regional Government (-Junta de Andalucรญa- grant PAIDI P18-RT-1652) and Universidad de Mรกlaga, Campus de Excelencia Internacional Andalucia Tech

    Usability analysis of contending electronic health record systems

    Get PDF
    In this paper, we report measured usability of two leading EHR systems during procurement. A total of 18 users participated in paired-usability testing of three scenarios: ordering and managing medications by an outpatient physician, medicine administration by an inpatient nurse and scheduling of appointments by nursing staff. Data for audio, screen capture, satisfaction rating, task success and errors made was collected during testing. We found a clear difference between the systems for percentage of successfully completed tasks, two different satisfaction measures and perceived learnability when looking at the results over all scenarios. We conclude that usability should be evaluated during procurement and the difference in usability between systems could be revealed even with fewer measures than were used in our study. ยฉ 2019 American Psychological Association Inc. All rights reserved.Peer reviewe

    Design and Validation of a Wearable, Continuous, and Non-Invasive Hydration Monitor that uses Ultrasonic Pulses to Detect Changes in Tissue Hydration Status

    Get PDF
    Chronic dehydration is an endemic problem for many population groups. Current methods of monitoring hydration status are invasive, time consuming, cannot be performed while exercising, and require lab resources. A proposed solution is a wearable, continuous, and non-invasive device that uses harm-free ultrasonic pulses to detect changes in tissue hydration status over time. Customer and engineering requirements were defined and used to guide the design process. Literature reviews were performed to identify essential information on dehydration, assess current methods, discover state of the art devices, and describe ultrasonic theory. Market research was performed to identify athletes as the target population group. An adjustable elastic nylon bicep band prototype was manufactured and the integration of more advanced components was proposed. The theoretical signal processing method used to detect hydration status was validated through initial tests with a prototype electrical system composed of a Teensy 3.1 board, two 18 kHz piezoceramic disc elements, and an Arduino/LabVIEW interface. Tests with aluminum, rubber, and sponge materials were performed to compare the signal response to propagation through materials with different acoustic properties and water contents. Finally, tests performed with dehydrated bovine muscle tissue revealed a statistically significant difference between hydrated and dehydrated tissue, a promising indication for future device refinement

    State of the art of audio- and video based solutions for AAL

    Get PDF
    Working Group 3. Audio- and Video-based AAL ApplicationsIt is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living (AAL) technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred to as the use of innovative and advanced Information and Communication Technologies to create supportive, inclusive and empowering applications and environments that enable older, impaired or frail people to live independently and stay active longer in society. AAL capitalizes on the growing pervasiveness and effectiveness of sensing and computing facilities to supply the persons in need with smart assistance, by responding to their necessities of autonomy, independence, comfort, security and safety. The application scenarios addressed by AAL are complex, due to the inherent heterogeneity of the end-user population, their living arrangements, and their physical conditions or impairment. Despite aiming at diverse goals, AAL systems should share some common characteristics. They are designed to provide support in daily life in an invisible, unobtrusive and user-friendly manner. Moreover, they are conceived to be intelligent, to be able to learn and adapt to the requirements and requests of the assisted people, and to synchronise with their specific needs. Nevertheless, to ensure the uptake of AAL in society, potential users must be willing to use AAL applications and to integrate them in their daily environments and lives. In this respect, video- and audio-based AAL applications have several advantages, in terms of unobtrusiveness and information richness. Indeed, cameras and microphones are far less obtrusive with respect to the hindrance other wearable sensors may cause to oneโ€™s activities. In addition, a single camera placed in a room can record most of the activities performed in the room, thus replacing many other non-visual sensors. Currently, video-based applications are effective in recognising and monitoring the activities, the movements, and the overall conditions of the assisted individuals as well as to assess their vital parameters (e.g., heart rate, respiratory rate). Similarly, audio sensors have the potential to become one of the most important modalities for interaction with AAL systems, as they can have a large range of sensing, do not require physical presence at a particular location and are physically intangible. Moreover, relevant information about individualsโ€™ activities and health status can derive from processing audio signals (e.g., speech recordings). Nevertheless, as the other side of the coin, cameras and microphones are often perceived as the most intrusive technologies from the viewpoint of the privacy of the monitored individuals. This is due to the richness of the information these technologies convey and the intimate setting where they may be deployed. Solutions able to ensure privacy preservation by context and by design, as well as to ensure high legal and ethical standards are in high demand. After the review of the current state of play and the discussion in GoodBrother, we may claim that the first solutions in this direction are starting to appear in the literature. A multidisciplinary 4 debate among experts and stakeholders is paving the way towards AAL ensuring ergonomics, usability, acceptance and privacy preservation. The DIANA, PAAL, and VisuAAL projects are examples of this fresh approach. This report provides the reader with a review of the most recent advances in audio- and video-based monitoring technologies for AAL. It has been drafted as a collective effort of WG3 to supply an introduction to AAL, its evolution over time and its main functional and technological underpinnings. In this respect, the report contributes to the field with the outline of a new generation of ethical-aware AAL technologies and a proposal for a novel comprehensive taxonomy of AAL systems and applications. Moreover, the report allows non-technical readers to gather an overview of the main components of an AAL system and how these function and interact with the end-users. The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation. For these application scenarios, the report illustrates the state of play in terms of scientific advances, available products and research project. The open challenges are also highlighted. The report ends with an overview of the challenges, the hindrances and the opportunities posed by the uptake in real world settings of AAL technologies. In this respect, the report illustrates the current procedural and technological approaches to cope with acceptability, usability and trust in the AAL technology, by surveying strategies and approaches to co-design, to privacy preservation in video and audio data, to transparency and explainability in data processing, and to data transmission and communication. User acceptance and ethical considerations are also debated. Finally, the potentials coming from the silver economy are overviewed.publishedVersio

    Independent Aging with the Help of Smart Technology:Investigating the Acceptance of Ambient Assisted Living Technologies

    Get PDF
    Who takes care of our older adults? According to the European Union, smart technologies that support independent living and active aging, introduced as โ€˜Ambient Assisted Livingโ€™ (AAL), are the future for our aging population. Promises of AAL include saving long-term care costs, improving the quality of care, unburdening family caregivers, and increasing the older adultsโ€™ independence and overall quality of life. While the policy enthusiasm for AAL technology is high, it is unclear if the potential users of AAL are willing to embrace AAL technologies in their daily lives. This dissertation addressed this issue by focusing on the perspective of older adults and their caregivers. Using a combination of qualitative and quantitative approaches, we developed a comprehensive and theoretically grounded understanding of how and why users perceive AAL technologies in a certain way. Important factors that drive or hinder the acceptance were identified. These insights resulted in a model of AAL acceptance that was validated in a representative sample (n = 1296) of the Dutch older adult population. This dissertation contributes to a more user-driven approach in AAL research and development and has important implications for researchers, developers and policy makers alike. We hope that our results will guide future research efforts, design and policy directions in the AAL field

    The Effect of Font Type and Font Size on the Legibility in Smart Watch Usage of the Elderly People

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์‚ฐ์—…๊ณตํ•™๊ณผ, 2018. 8. ์œค๋ช…ํ™˜.์ „ ์„ธ๊ณ„์ ์œผ๋กœ ๋Š˜์–ด๋‚˜๊ณ  ์žˆ๋Š” ๊ณ ๋ น ์ธ๊ตฌ์— ๋”ฐ๋ผ, ๊ณ ๋ น์ž์˜ ๊ฑด๊ฐ• ๊ด€๋ฆฌ์— ๋Œ€ํ•œ ์š”๊ตฌ์™€ ๋น„์šฉ ๋˜ํ•œ ๋Š˜์–ด๋‚  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ์— ๋”ฐ๋ผ ๊ณ ๋ น์ž์˜ ๊ฑด๊ฐ• ์ƒํƒœ๋ฅผ ์—ฐ์†์ ์ด๊ณ  ๊ฒฝ์ œ์ ์œผ๋กœ ๋ชจ๋‹ˆํ„ฐ๋งํ•  ์ˆ˜ ์žˆ๋Š” ์›จ์–ด๋Ÿฌ๋ธ” ๋””๋ฐ”์ด์Šค๋ฅผ ์ด์šฉํ•œ ๊ฑด๊ฐ• ๊ด€๋ฆฌ ๋ชจ๋‹ˆํ„ฐ๋ง ์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ™œ๋ฐœํ•˜๊ฒŒ ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ๋‹ค. ์Šค๋งˆํŠธ ์›Œ์น˜๋Š” ๊ณ ๋ น์ž์˜ ๊ฑด๊ฐ• ๊ด€๋ฆฌ ๋ชจ๋‹ˆํ„ฐ๋ง ์‹œ์Šคํ…œ์— ์ ์šฉ๋˜๊ธฐ์— ์ ํ•ฉํ•œ ์›จ์–ด๋Ÿฌ๋ธ” ๋””๋ฐ”์ด์Šค ์ค‘ ํ•˜๋‚˜์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์Šค๋งˆํŠธ ์›Œ์น˜์˜ ์ž‘์€ ๋””์Šคํ”Œ๋ ˆ์ด๋กœ ์ธํ•œ ๋‚ฎ์€ ๊ฐ€๋…์„ฑ์€ ๋ฌธ์ œ์ ์œผ๋กœ ์ง€์ ๋˜๊ณ  ์žˆ๋‹ค. ๊ฐ€๋…์„ฑ์€ ์ œํ’ˆ์˜ ์‚ฌ์šฉ์„ฑ ์š”์ธ ์ค‘์— ํ•˜๋‚˜์ด๋ฉฐ, ๊ณ ๋ น์ž์˜ ๊ธฐ๊ธฐ ์ˆ˜์šฉ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์—, ์ œํ’ˆ์˜ ๊ฐ€๋…์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๊ฒƒ์€ ๋งค์šฐ ์ค‘์š”ํ•œ ๋ฌธ์ œ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ณ ๋ น์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์Šค๋งˆํŠธ ์›Œ์น˜์˜ ๊ฐ€๋…์„ฑ ์—ฐ๊ตฌ๋Š” ๋ฏธ๋น„ํ•œ ์‹ค์ •์ด๋‹ค. ๋”ฐ๋ผ์„œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ณ ๋ น์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์†Œํ˜• ๋””์Šคํ”Œ๋ ˆ์ด์—์„œ ์ค‘์š”ํ•œ ๊ฐ€๋…์„ฑ ์˜ํ–ฅ ์š”์ธ์œผ๋กœ ๊ผฝํžˆ๋Š” ๊ธ€์ž์ฒด์™€ ๊ธ€์ž ํฌ๊ธฐ๊ฐ€ ์Šค๋งˆํŠธ ์›Œ์น˜์˜ ๊ฐ€๋…์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ๊ธ€์ž์ฒด์˜ ๊ฒฝ์šฐ ๊ณ ๋”•์ฒด์™€ ๋ช…์กฐ์ฒด๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€์œผ๋ฉฐ, ๊ธ€์ž ํฌ๊ธฐ์˜ ๊ฒฝ์šฐ 9 point, 10 point, 11 point, 12 point๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€๋‹ค. ๊ทธ ํ›„ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ˜์‘ ์‹œ๊ฐ„, ์˜ค๋ฅ˜ ํšŸ์ˆ˜, ์ฃผ๊ด€์  ๋งŒ์กฑ๋„๋กœ ๋‚˜๋ˆ„์–ด ๋ถ„์„ํ•˜์˜€๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ, ๊ธ€์ž์ฒด์— ๋”ฐ๋ฅธ ๋ฐ˜์‘ ์‹œ๊ฐ„, ์˜ค๋ฅ˜ ํšŸ์ˆ˜, ์ฃผ๊ด€์  ๋งŒ์กฑ๋„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ์ฐจ์ด๋Š” ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ข…ํ•ฉ ๋งŒ์กฑ๋„์—์„œ๋Š” ๋ช…์กฐ์ฒด๋ณด๋‹ค ๊ณ ๋”•์ฒด๊ฐ€ ๋” ๋†’์€ ๋งŒ์กฑ๋„๋ฅผ ๋ณด์˜€๋‹ค. ๋”ฐ๋ผ์„œ ์„ ํ˜ธ๋„๊ฐ€ ์ค‘์š”ํ•œ ์ธํ„ฐํŽ˜์ด์Šค์˜ ๊ฒฝ์šฐ ๊ณ ๋”•์ฒด๋ฅผ ์‚ฌ์šฉํ•  ๊ฒƒ์„ ๊ถŒ์žฅํ•œ๋‹ค. ์ด์™€ ๋‹ฌ๋ฆฌ ๊ฐ ๊ธ€์ž์ฒด์—์„œ ๊ธ€์ž ํฌ๊ธฐ์˜ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ๊ฐ€๋…์„ฑ์˜ ์ฐจ์ด๋Š” ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ณ ๋”•์ฒด์˜ ๊ฒฝ์šฐ ๋ฐ˜์‘ ์‹œ๊ฐ„์˜ ์ฐจ์ด๋Š” ์—†์—ˆ์ง€๋งŒ ์˜ค๋ฅ˜ ํšŸ์ˆ˜์—์„œ 10 point์™€ 11 point๊ฐ€ 9 point์™€ 12 point๋ณด๋‹ค ๋” ์ข‹์€ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, ์ฃผ๊ด€์  ๋งŒ์กฑ๋„์—์„œ๋„ ์ •ํ™•๋„์™€ ํŽธ์•ˆํ•จ์—์„œ 11 point๊นŒ์ง€๋Š” ๊ธ€์ž ํฌ๊ธฐ๊ฐ€ ์ปค์งˆ์ˆ˜๋ก ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•„์ง€๋‹ค๊ฐ€ 12 point์—์„œ๋Š” ๋” ๋‚ฎ์•„์ง€๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ๋ช…์กฐ์ฒด์˜ ๊ฒฝ์šฐ, ๋ฐ˜์‘ ์‹œ๊ฐ„์—์„œ 9 point์™€ 10 point๋ณด๋‹ค 11 point์™€ 12 point๊ฐ€ ๋” ์ข‹์€ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, ์˜ค๋ฅ˜ ํšŸ์ˆ˜์—์„œ๋Š” ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜๋‹ค. ๋˜ํ•œ, ํ†ต๊ณ„์ ์œผ๋กœ ์ฐจ์ด๋Š” ์—†์—ˆ์ง€๋งŒ, ์ฃผ๊ด€์  ๋งŒ์กฑ๋„์—์„œ๋„ ์ •ํ™•๋„์™€ ํŽธ์•ˆํ•จ์—์„œ ๋ชจ๋‘ ๊ธ€์ž ํฌ๊ธฐ๊ฐ€ ์ปค์งˆ์ˆ˜๋ก ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•„์ง€๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ๋”ฐ๋ผ์„œ, ๊ณ ๋”•์ฒด๋ฅผ ์‚ฌ์šฉํ•  ๊ฒฝ์šฐ์—๋Š” 11 point, ๋ช…์กฐ์ฒด๋ฅผ ์‚ฌ์šฉํ•  ๊ฒฝ์šฐ์—๋Š” 12 point ์‚ฌ์šฉ์„ ๊ถŒ์žฅํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณ ๋ น์ž์˜ ์Šค๋งˆํŠธ ์›Œ์น˜ ์‚ฌ์šฉ์— ์žˆ์–ด ๊ธ€์ž์ฒด์™€ ๊ธ€์ž ํฌ๊ธฐ์— ๋Œ€ํ•œ ๊ฐ€๋…์„ฑ ์ง€์นจ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋Š” ๊ณ ๋ น์ž์˜ ์Šค๋งˆํŠธ ์›Œ์น˜ ์‚ฌ์šฉ์—์„œ ์‚ฌ์šฉ์„ฑ์„ ๋†’์ผ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋˜๋ฉฐ, ์ด๋กœ ์ธํ•ด ๊ณ ๋ น์ž์˜ ์Šค๋งˆํŠธ ์›Œ์น˜ ๊ธฐ๊ธฐ์— ๋Œ€ํ•œ ์ˆ˜์šฉ๋„ ๋˜ํ•œ ๋†’์ผ ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ์ฃผ์š”์–ด : ๊ณ ๋ น์ž, ์Šค๋งˆํŠธ ์›Œ์น˜, ๊ฐ€๋…์„ฑ, ๊ธ€์ž์ฒด, ๊ธ€์ž ํฌ๊ธฐ์ œ 1 ์žฅ ์„œ๋ก  1 1.1 ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1.2 ๋…ผ๋ฌธ์˜ ๊ตฌ์„ฑ 3 ์ œ 2 ์žฅ ๋ฐฐ๊ฒฝ ์ด๋ก  5 2.1 ๊ณ ๋ น์ž 5 2.1.1 ๊ณ ๋ น์ž์™€ ๊ณ ๋ น ์‚ฌํšŒ 5 2.1.2 ๊ณ ๋ น์ž์˜ ํŠน์„ฑ 5 2.2 ์Šค๋งˆํŠธ ์›Œ์น˜(Smart Watch) 7 2.2.1 ์Šค๋งˆํŠธ ์›Œ์น˜์˜ ์ •์˜์™€ ๊ธฐ๋Šฅ 7 2.2.2 ๊ณ ๋ น์ž์™€ ์Šค๋งˆํŠธ ์›Œ์น˜ 8 2.3 ๊ฐ€๋…์„ฑ 10 2.3.1 ๊ฐ€๋…์„ฑ์˜ ์ •์˜ 10 2.3.2 ๊ฐ€๋…์„ฑ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ 12 2.3.3 ์„œ์ฒด 14 2.3.4 ๊ฐ€๋…์„ฑ ์ธก์ • ๋ฐฉ๋ฒ• 16 2.3.5 ๊ณ ๋ น์ž์— ๊ด€ํ•œ ๊ฐ€๋…์„ฑ ์—ฐ๊ตฌ 18 2.3.6 ์Šค๋งˆํŠธ ์›Œ์น˜์— ๊ด€ํ•œ ๊ฐ€๋…์„ฑ ์—ฐ๊ตฌ 20 ์ œ 3 ์žฅ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 23 3.1 ํ”ผ์‹คํ—˜์ž 23 3.2 ์‹คํ—˜ ์žฅ๋น„ 23 3.3 ์‹คํ—˜ ์ž๊ทน 25 3.4 ๋…๋ฆฝ ๋ณ€์ธ 26 3.5 ์ข…์† ๋ณ€์ธ 26 3.6 ์‹คํ—˜ ์ ˆ์ฐจ 27 3.7 ์‹คํ—˜ ํ™˜๊ฒฝ 28 ์ œ 4 ์žฅ ์‹คํ—˜ ๊ฒฐ๊ณผ 30 4.1 ์—ฐ๊ตฌ ๊ฐ€์„ค 30 4.2 ๋ฐ˜์‘ ์‹œ๊ฐ„ 31 4.2.1 ์ •๊ทœ์„ฑ ๊ฒ€์ • 32 4.2.2 ๋ถ„์‚ฐ์˜ ๋™์งˆ์„ฑ ๊ฒ€์ • 33 4.2.3 ๋ถ„์‚ฐ ๋ถ„์„ 33 4.3 ์˜ค๋ฅ˜ ํšŸ์ˆ˜ 38 4.3.1 ์ •๊ทœ์„ฑ ๊ฒ€์ • 39 4.3.2 Mann-Whitney U ๊ฒ€์ • 40 4.3.3 Kruskall-Wallis ๊ฒ€์ • 41 4.4 ์ฃผ๊ด€์  ๋งŒ์กฑ๋„ 47 4.4.1 ์ •ํ™•๋„ ์ •๊ทœ์„ฑ ๊ฒ€์ • 47 4.4.2 ์ •ํ™•๋„ Mann-Whitney U ๊ฒ€์ • 48 4.4.3 ์ •ํ™•๋„ Kruskall-Wallis ๊ฒ€์ • 50 4.4.4 ํŽธ์•ˆํ•จ ์ •๊ทœ์„ฑ ๊ฒ€์ • 55 4.4.5 ํŽธ์•ˆํ•จ Mann-Whitney U ๊ฒ€์ • 56 4.4.6 ํŽธ์•ˆํ•จ Kruskall-Wallis ๊ฒ€์ • 57 4.4.7 ์ข…ํ•ฉ ๋งŒ์กฑ๋„ 62 ์ œ 5 ์žฅ ๋…ผ์˜ 64 ์ œ 6 ์žฅ ๊ฒฐ๋ก  67 6.1 ๊ฒฐ๋ก  67 6.2 ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 68 6.3 ํ–ฅํ›„ ์—ฐ๊ตฌ ๊ณผ์ œ ๋ฐ ์—ฐ๊ตฌ ์˜์˜ 70 ์ฐธ๊ณ ๋ฌธํ—Œ 71 Abstract 82Maste

    A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations

    Get PDF
    The commercial market for technologies to monitor and improve personal health and sports performance is ever expanding. A wide range of smart watches, bands, garments, and patches with embedded sensors, small portable devices and mobile applications now exist to record and provide users with feedback on many different physical performance variables. These variables include cardiorespiratory function, movement patterns, sweat analysis, tissue oxygenation, sleep, emotional state, and changes in cognitive function following concussion. In this review, we have summarized the features and evaluated the characteristics of a cross-section of technologies for health and sports performance according to what the technology is claimed to do, whether it has been validated and is reliable, and if it is suitable for general consumer use. Consumers who are choosing new technology should consider whether it (1) produces desirable (or non-desirable) outcomes, (2) has been developed based on real-world need, and (3) has been tested and proven effective in applied studies in different settings. Among the technologies included in this review, more than half have not been validated through independent research. Only 5% of the technologies have been formally validated. Around 10% of technologies have been developed for and used in research. The value of such technologies for consumer use is debatable, however, because they may require extra time to set up and interpret the data they produce. Looking to the future, the rapidly expanding market of health and sports performance technology has much to offer consumers. To create a competitive advantage, companies producing health and performance technologies should consult with consumers to identify real-world need, and invest in research to prove the effectiveness of their products. To get the best value, consumers should carefully select such products, not only based on their personal needs, but also according to the strength of supporting evidence and effectiveness of the products
    • โ€ฆ
    corecore