SynthesisSensors (Basel, Switzerland)2021
Intelligent Sensing Technologies for the Diagnosis, Monitoring and Therapy of Alzheimer's Disease: A Systematic Review.
Synthesis in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Passive digital health technologies for Alzheimer's disease screening and diagnosis: a systematic review.NPJ digital medicine · 2026Article
- Intelligent decision-making systems for early detection of alzheimer's disease using wearable technologies and deep learning.Scientific reports · 2026Article
- CONECT: Novel Weighted Networks Framework Leveraging Angle-Relation Connection (ARC) and Metaheuristic Algorithms for EEG-Based Dementia Classification.Sensors (Basel, Switzerland) · 2025Article
- Smart Glasses for Older Adults With Cognitive Impairment: A Scoping Review.Journal of the American Medical Directors Association · 2025Article
- Home-Based Digital Technologies to Support Aging-in-Place for Rural African American People With Alzheimer Disease and Their Care Partners: Protocol for a Mixed Methods Feasibility Study.JMIR research protocols · 2025Article
- AI-Powered Adaptive Disability Prediction and Healthcare Analytics Using Smart Technologies.Diagnostics (Basel, Switzerland) · 2025Article
- Patient and public involvement in the co-design and assessment of unobtrusive sensing technologies for care at home: a user-centric design approach.BMC geriatrics · 2025Article
- Article
- A mini review of transforming dementia care in China with data-driven insights: overcoming diagnostic and time-delayed barriers.Frontiers in aging neuroscience · 2025Review
- Neuro Receptor Signal Detecting and Monitoring Smart Devices for Biological Changes in Cognitive Health Conditions.Annals of neurosciences · 2024Review
- Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends.International journal of general medicine · 2024Review
- Telecaregiving for Dementia: A Mapping Review of Technological and Nontechnological Interventions.The Gerontologist · 2024Review
- Decoding degeneration: the implementation of machine learning for clinical detection of neurodegenerative disorders.Neural regeneration research · 2023Review
- A Review of Commercial and Non-Commercial Wearables Devices for Monitoring Motor Impairments Caused by Neurodegenerative Diseases.Biosensors · 2022Review
- An Integrated Methodology for Bibliometric Analysis: A Case Study of Internet of Things in Healthcare Applications.Sensors (Basel, Switzerland) · 2022Article
- A longitudinal observational study of home-based conversations for detecting early dementia: protocol for the CUBOId TV task.BMJ open · 2022Article
- Digital Intervention for the Management of Alzheimer's Disease.Current Alzheimer research · 2022Review
- A Novel Explainability Approach for Technology-Driven Translational Research on Brain Aging.Journal of Alzheimer's disease : JAD · 2022Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alzheimer's disease is a lifelong progressive neurological disorder. It is associated with high disease management and caregiver costs. Intelligent sensing systems have the capability to provide context-aware adaptive feedback. These can assist Alzheimer's patients with, continuous monitoring, functional support and timely therapeutic interventions for whom these are of paramount importance. This review aims to present a summary of such systems reported in the extant literature for the management of Alzheimer's disease. Four databases were searched, and 253 English language articles were identified published between the years 2015 to 2020. Through a series of filtering mechanisms, 20 articles were found suitable to be included in this review. This study gives an overview of the depth and breadth of the efficacy as well as the limitations of these intelligent systems proposed for Alzheimer's. Results indicate two broad categories of intelligent technologies, distributed systems and self-contained devices. Distributed systems base their outcomes mostly on long-term monitoring activity patterns of individuals whereas handheld devices give quick assessments through touch, vision and voice. The review concludes by discussing the potential of these intelligent technologies for clinical practice while highlighting future considerations for improvements in the design of these solutions for Alzheimer's disease.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.