ArticleSensors (Basel, Switzerland)2021
Wearable Feet Pressure Sensor for Human Gait and Falling Diagnosis.
Article 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 10 papers, 1 of them a synthesis that pooled 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.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sensor for sports applications: monitoring and assessment of intrinsic capacity enhancement in older adults during brisk walking.Frontiers in public health · 2025Pooled it
- A Sensor-Based Classification for Neuromotor Robot-Assisted Rehabilitation.Bioengineering (Basel, Switzerland) · 2025Review
- Gait Pattern Analysis: Integration of a Highly Sensitive Flexible Pressure Sensor on a Wireless Instrumented Insole.Sensors (Basel, Switzerland) · 2024Article
- Reference values of gait parameters in healthy Chinese university students: A cross-sectional observational study.World journal of clinical cases · 2023Article
- A Flexible Pressure Sensor Based on Graphene/Epoxy Resin Composite Film and Screen Printing Process.Nanomaterials (Basel, Switzerland) · 2023Article
- Digitalization in orthopaedics: a narrative review.Frontiers in surgery · 2023Review
- The Automatization of the Gait Analysis by the Vicon Video System: A Pilot Study.Sensors (Basel, Switzerland) · 2022Article
- Fall Detection for Shipboard Seafarers Based on Optimized BlazePose and LSTM.Sensors (Basel, Switzerland) · 2022Article
- Wearable Sensor Systems for Fall Risk Assessment: A Review.Frontiers in digital health · 2022Review
- Measurement and Analysis of Human Infant Crawling for Rehabilitation: A Narrative Review.Frontiers in neurology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Human falls pose a serious threat to the person's health, especially for the elderly and disease-impacted people. Early detection of involuntary human gait change can indicate a forthcoming fall. Therefore, human body fall warning can help avoid falls and their caused injuries for the skeleton and joints. A simple and easy-to-use fall detection system based on gait analysis can be very helpful, especially if sensors of this system are implemented inside the shoes without causing a sensible discomfort for the user. We created a methodology for the fall prediction using three specially designed Velostat
Indexed as
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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.