Evidence map›Paper›PMID 39943492›Full record

ReviewSensors (Basel, Switzerland)2025

An Interdisciplinary Overview on Ambient Assisted Living Systems for Health Monitoring at Home: Trade-Offs and Challenges.

Baraa Zieni, Matthew A Ritchie, Anna Maria Mandalari, Francesca Boem

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Baraa ZieniDepartment of Electronic and Electrical Engineering, University College London, London WC1E 7JE, UK.
Matthew A RitchieDepartment of Electronic and Electrical Engineering, University College London, London WC1E 7JE, UK.ORCID 0000-0001-8423-8064
Anna Maria MandalariDepartment of Electronic and Electrical Engineering, University College London, London WC1E 7JE, UK.ORCID 0000-0002-6715-101X
Francesca BoemDepartment of Electronic and Electrical Engineering, University College London, London WC1E 7JE, UK.ORCID 0000-0003-4272-6451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of IoT and Ambient Assisted Living (AAL) enables discreet real-time health monitoring in home environments, offering significant potential for personalized and preventative care. However, challenges persist in balancing privacy, cost, usability, and system reliability. This paper provides an overview of recent advancements in sensor and IoT technologies for assisted living, with a focus on elderly individuals living independently. It categorizes sensor types and technologies that enhance healthcare delivery and explores an interdisciplinary framework encompassing sensing, communication, and decision-making systems. Through this analysis, this paper highlights current applications, identifies emerging challenges, and pinpoints critical areas for future research. This paper aims to inform ongoing discourse and advocate for interdisciplinary approaches in system design to address existing trade-offs and optimize performance.

Indexed as

Monitoring, AmbulatoryAgedAssisted Living FacilitiesDelivery of Health CareHumansIndependent LivingMonitoring, PhysiologicAALdecision-making systemhealthcareIoTprivacysensing

Identifiers

PMID39943492
PMCPMC11819874

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.