ArticleSensors (Basel, Switzerland)2019
A Low-Cost Indoor Activity Monitoring System for Detecting Frailty in Older Adults.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- In-Home Positioning for Remote Home Health Monitoring in Older Adults: Systematic Review.JMIR aging · 2024Pooled it
- Enhancing indoor monitoring of visually impaired people using temporal convolutional network with optimization model in IoT environment.Scientific reports · 2025Article
- Enhancing indoor activity recognition for disabled persons using multi head self attention recurrent neural network with improved pelican algorithm.Scientific reports · 2025Article
- Article
- Automated Detection of In-Home Activities with Ultra-Wideband Sensors.Sensors (Basel, Switzerland) · 2024Article
- CUSCO: An Unobtrusive Custom Secure Audio-Visual Recording System for Ambient Assisted Living.Sensors (Basel, Switzerland) · 2024Article
- A scoping review of different monitoring-technology devices in caring for older adults with cognitive impairment.Frontiers in public health · 2023Article
- WLAN RSS-Based Fingerprinting for Indoor Localization: A Machine Learning Inspired Bag-of-Features Approach.Sensors (Basel, Switzerland) · 2022Article
- The Development and Concurrent Validity of a Multi-Sensor-Based Frailty Toolkit for In-Home Frailty Assessment.Sensors (Basel, Switzerland) · 2022Article
- An Instrumented Apartment to Monitor Human Behavior: A Pilot Case Study in the NeuroTec Loft.Sensors (Basel, Switzerland) · 2022Article
- Design and Implementation of an Indoor Warning System with Physiological Signal Monitoring for People Isolated at Home.Sensors (Basel, Switzerland) · 2022Article
- Clinical Practice Guidelines for Managing Frailty in Community-Dwelling Korean Elderly Adults in Primary Care Settings.Korean journal of family medicine · 2021Article
- Information and Communication Technologies for Managing Frailty: A Systematic Literature Review.Aging and disease · 2021Review
- Unobtrusive Sensors for the Assessment of Older Adult's Frailty: A Scoping Review.Sensors (Basel, Switzerland) · 2021Article
- Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0.Sensors (Basel, Switzerland) · 2020Article
- A Microservices e-Health System for Ecological Frailty Assessment Using Wearables.Sensors (Basel, Switzerland) · 2020Article
- Energy-Efficient Elderly Fall Detection System Based on Power Reduction and Wireless Power Transfer.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Indoor localization systems have already wide applications mainly for providing localized information and directions. The majority of them focus on commercial applications providing information such us advertisements, guidance and asset tracking. Medical oriented localization systems are uncommon. Given the fact that an individual's indoor movements can be indicative of his/her clinical status, in this paper we present a low-cost indoor localization system with room-level accuracy used to assess the frailty of older people. We focused on designing a system with easy installation and low cost to be used by non technical staff. The system was installed in older people houses in order to collect data about their indoor localization habits. The collected data were examined in combination with their frailty status, showing a correlation between them. The indoor localization system is based on the processing of Received Signal Strength Indicator (RSSI) measurements by a tracking device, from Bluetooth Beacons, using a fingerprint-based procedure. The system has been tested in realistic settings achieving accuracy above 93% in room estimation. The proposed system was used in 271 houses collecting data for 1⁻7-day sessions. The evaluation of the collected data using ten-fold cross-validation showed an accuracy of 83% in the classification of a monitored person regarding his/her frailty status (Frail, Pre-frail, Non-frail).
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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.