Training with a balance exercise assist robot is more effective than conventional training for frail older adults

Kondo, Izumi; Hirano, Satoshi; Kagaya, Hitoshi; Saitoh, Eiichi; Osawa, Aiko; Fujinori, Yoichi

doi:10.1111/ggi.13009

Cited by 43 publications

(60 citation statements)

References 26 publications

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“…A recent review of 36 studies on sensor technologies and the use of robots for supporting older people with mobility limitations highlighted the potential for their use even without the physical presence of medical personnel [26]. Robotic exercise appears to be more effective in improving dynamic balance and lower extremity muscle strength than conventional exercise in frail people [27]. The Robot Gym, an alternative to traditional physical and occupational therapy approaches in post-stroke rehabilitation, enhanced stroke patients' functionality both in upper and lower extremity tests and was more successful in improving lower limb function than traditional therapy [28].…”

Section: Assisted Technology In Geriatric Care and Rehabilitation: Romentioning

confidence: 99%

Artificial Intelligence in the healthcare of older people

Makaetova-Ladinska¹,

Harwood²,

Maltby³

2020

Arch Psychiatr Ment Health

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Clinical applications of Artifi cial Intelligence (AI) in healthcare are relatively rare. The high expectations in relation to data analysis infl uencing general healthcare have not materialized, with few exceptions, and then predominantly in the fi eld of rare diseases, oncology and pathology, and interpretation of laboratory results. While electronic health records, introduced over the last decade or so in the UK have increased access to medical and treatment histories of patients, diagnoses, medications, treatment plans, immunization dates, allergies, radiology images, laboratory and test results, these have potential for evidence-based tools that providers can use to make decisions about a patient's care, as well as streamline workfl ow. In the following text, we review the advances achieved using machine learning and deep learning technology, as well as robot use and telemedicine in the healthcare of older people. Key points: 1. Artifi cial Intelligence use is extensively explored in prevention, diagnosis, novel drug designs and after-care. 2. AI studies on older adults include a small number of patients and lack reproducibility needed for their wider clinical use in different clinical settings and larger populations. 3. Telemedicine and robot assisted technology are well received by older service users. 4. Ethical concerns need to be resolved prior to wider AI use in routine clinical setting. seem to face a number of barriers in contacting communitybased primary health care, such as limited access, lack of standardized information systems and care pathways [3], all necessary to address their complex health care and social care needs. Indeed, older adults have much higher prevalence of nearly all major chronic and long-term conditions. In addition, they are more likely to succumb to adverse health events, such as a falls or infections, and these can lead to dramatic changes in their physical and mental wellbeing even after an apparently minor incident [4]. However, person and familyfocused care, self-management resources, and successful collaborative practice have been all highlighted as facilitators of good health care provision both by older people and their families [3]. All the above places the importance of diagnosis, monitoring of disease risks and their prevention, as well as management and optimizing of geriatric syndromes in the community for both older people living independenly or in 24h care facilities. In particular, identi ication of health issues/ diagnosis, support/treatment needs evaluation, development

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Section: Assisted Technology In Geriatric Care and Rehabilitation: Romentioning

confidence: 99%

Artificial Intelligence in the healthcare of older people

Makaetova-Ladinska¹,

Harwood²,

Maltby³

2020

Arch Psychiatr Ment Health

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“…For elderly people with frailty, nutritional guidance and exercise therapy have mainly been used in the past, with a focus on muscle strengthening, locomotion training, and aerobic exercise (Pollock et al 2012). Recently, we have also realized the importance of rehabilitation that trains balance ability (Ozaki et al 2017). In addition, a relationship has been noted between mild cognitive impairment (MCI) and frailty (Shimada et al 2013;Saji and Sakurai 2017).…”

Section: The Characteristics Of Elderly Peoplementioning

confidence: 99%

An Acquaintance with An Aging Society

Yamada

2019

Social Sciences

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Low birth rates and higher life expectancy have been ravaging Japanese society. This article summarizes some of the latest medical knowledge and assistive activities, with a nod toward one nonprofit organization’s efforts to deliver better home healthcare to the elderly through housing and technologies, in the world’s first super-aging society. The response to the transforming society requires a combination of familiar customs and new technologies that create a favorable environment for mobility and continuous learning that are key to elderly health. As other countries will face similar issues, further international interdisciplinary knowledge-building will be necessary to face the challenges of super-aging societies.

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“…Assistive technologies in care settings are increasingly expected to perform a broader set of functions and roles. While there are great expectations for robotics‐aided care, which encourage and facilitate social participation and interactions of older people, the use of AI‐driven Socially Assistive Robots (SARs) has remained rare …”

Section: Introductionmentioning

confidence: 99%

“…While there are great expectations for robotics-aided care, which encourage and facilitate social participation and interactions of older people, the use of AI-driven Socially Assistive Robots (SARs) has remained rare. [1][2][3][4] However, several studies began reporting the positive impact of SARs on the daily living and quality of life of older people. [5][6][7][8][9][10][11][12] Many of these studies examined animal-shaped companion robots and their therapeutic effects on older people.…”

Section: Introductionmentioning

confidence: 99%

Measuring the impact of age, gender and dementia on communication‐robot interventions in residential care homes

Obayashi

Kodate

Masuyama

2020

Geriatrics Gerontology Int

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Aim The primary aim of this study was to examine the impact of age, gender and the stage of dementia on the results of an assistive technology intervention that make use of communication robots (com‐robots). The intervention was designed to improve the social participation and interactions of nursing home residents. While our previous study showed that the overall effects of com‐robot intervention were positive, it was unknown what impact age, gender and the stage of dementia of participants had on such an intervention. Methods This was a non‐randomized, multicenter quasi‐experimental intervention study conducted in residential care homes in Japan. Two types of com‐robots were introduced for 8 weeks after baseline evaluation. The World Health Organization's ICF was used for evaluating any changes present after the 8‐week intervention. In total, 78 residents (68 women, 10 men, 86.5 ± 7.7 years old) participated in the study. The Degree of Daily Life Independence Score for People with Dementia (DDLIS‐PD) was employed for measuring the stage of dementia. Results The results showed that the older participants aged ≥80 benefited more from the intervention than the younger cohort did (P < 0.05). A greater improvement was shown among those with a more advanced stage of dementia than those at a less advanced stage (P < 0.05), when using DDLIS‐PD. Conclusions The overall findings support the use of com‐robots within the context of a care team for older people with moderate dementia, and those who are aged ≥80 years. Geriatr Gerontol Int 2020; 20: 373–378.

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Training with a balance exercise assist robot is more effective than conventional training for frail older adults

Cited by 43 publications

References 26 publications

Artificial Intelligence in the healthcare of older people

Artificial Intelligence in the healthcare of older people

An Acquaintance with An Aging Society

Measuring the impact of age, gender and dementia on communication‐robot interventions in residential care homes

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