Mobile Phone Apps in the Management and Assessment of Mild Cognitive Impairment and/or Mild-to-Moderate Dementia: An Opinion Article on Recent Findings

Klímová, Blanka

doi:10.3389/fnhum.2017.00461

Cited by 37 publications

(33 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The application of domotics—the integration of technology into residential structures5—to dementia care has resulted in the development of adaptive ‘smart homes’ that assist patients with activities of daily living (ADLs) affected by their cognitive deficits 6. With the majority of dementia care costs falling on unpaid carers and long-term institutional social care,7 technological developments promoting patient independence and quality of life will be crucial to reducing the growing burden of neurodegenerative diseases.…”

Section: Introductionmentioning

confidence: 99%

Digital technologies for the assessment of cognition: a clinical review

Chinner

Blane

Lancaster

et al. 2018

Evid Based Mental Health

View full text Add to dashboard Cite

Dementia is the most widespread form of neurodegenerative disorder and is associated with an immense societal and personal cost. Prevalence of this disorder is projected to triple worldwide by 2050 leading to an urgent need to make advances in the efficiency of both its care and therapy research. Digital technologies are a rapidly advancing field that provide a previously unavailable opportunity to alleviate challenges faced by clinicians and researchers working in this area. This clinical review aimed to summarise currently available evidence on digital technologies that can be used to monitor cognition. We identified a range of pervasive digital systems, such as smartphones, smartwatches and smart homes, to assess and assist elderly demented, prodromal and preclinical populations. Generally, the studies reported good level of agreement between the digital measures and the constructs they aimed to measure. However, most of the systems are still only in the initial stages of development with limited data on acceptability in patients. Although it is clear that the use of digital technology to monitor and support the cognitive domains affected by dementia is a promising area of development, additional research validating the efficacy, utility and cost-effectiveness of these systems in patient populations is needed.

show abstract

Section: Introductionmentioning

confidence: 99%

Digital technologies for the assessment of cognition: a clinical review

Chinner

Blane

Lancaster

et al. 2018

Evid Based Mental Health

View full text Add to dashboard Cite

show abstract

“…Attending to the EEG activity, four main areas of the brain have been discussed in the literature to study neurological activity: parietal, occipital, temporal and frontal [4,12]. This neurological activity has been observed to produce a range of electrical waves per second at different frequencies with greater or lesser level of coverage that depends on the task being performed.…”

Section: Eeg-based Cognitive Load Analysismentioning

confidence: 99%

“…Cameras and vision-based systems are also useful to analyze interactions with mobile applications. Authors such as Souza [4] and Chang [5] highlight the importance of eye-tracking data for usability studies, comparing them with traditional techniques.…”

Section: Mobile-device Interaction Backgroundmentioning

confidence: 99%

“…In fact, the smartphone can be an ally for diagnostic purposes [3], although it should serve a complementary role in the doctor-patient relationship. Particularly, in dementia, Blanka Klimova [4] evidenced the potential of mobile apps for diagnosis support, minimizing examiner bias, increasing patient independence, cutting hospitalization costs, and improving the overall quality of life of elders. As we can see, analyses of interactions (explicit or implicit) with smartphones can be invaluable in the field of human-computer interactions, as well as in the field of health, with diagnosis and treatment purposes.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Cognitive Load Using EEG when Interacting with Mobile Devices

Cabañero

Hervás

Gónzalez

et al. 2019

13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence UCAmI 2019‬

View full text Add to dashboard Cite

The study of cognitive responses and processes while using applications is a critical field in human-computer interaction. This paper aims to determine the mental effort required for different typical tasks with smartphones. Mental effort is typically associated with the concept of cognitive load, and has been studied by analyzing electroencephalography (EEG) signals. Thus, this paper shows the results of analyzing the cognitive load of a set of characteristic tasks on smartphones. To determine the set of tasks to analyze, this paper proposes a taxonomy of smartphone-based actions defined after considering the related proposals in the literature and identifying the significant characteristics of the tasks to classify them. The EEG data was obtained through an experiment with real users doing tasks from the aforementioned taxonomy. The results show significant differences in the cognitive load of each task category and identify those tasks that involve a higher degree of mental effort. The results will be the starting point of the M 4 S project that aims to contribute to the early diagnosis of mild cognitive impairment through monitoring everyday dual-tasking in terms of interaction with smartphones.

show abstract

“…However, the results also showed that its cognitive structure, interface, interaction, instructions and feedback must be always well-thought of when it comes to its use among the elderly people. As Klimova ( 2017 ) points out, training should be provided for these people to avoid social anxiety of using smartphone apps. Moreover, companies developing these apps should be aware of meeting specific needs of their potential older clients whose number will be rapidly rising in the near future (cf.…”

Section: Recent Findings On the Use Of Smartphone Apps For Cognitive mentioning

confidence: 99%