Trial reportScientific reports2021
Classification of patients with Alzheimer's disease using the arterial pulse spectrum and a multilayer-perceptron analysis.
Trial report in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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
11 citing papers in PubMed.
- Discriminating Breast Cancer Patients by Spectral Analysis of Arterial Pulse Waveforms.Cardiovascular engineering and technology · 2026Article
- Pulse wave analysis for quality-of-life associated early physiological changes during breast cancer chemotherapy: a proof-of-concept pilot study.The oncologist · 2026Observational
- Causes of death in individuals with lifetime major depression: a comprehensive machine learning analysis from a community-based autopsy center.BMC psychiatry · 2024Article
- Peripheral pulse harmonic analysis and its clinical application: A systematic review.Journal of traditional and complementary medicine · 2024Article
- Leveraging Technology to Diagnose Alzheimer's Disease: A Systematic Review and Meta-Analysis.Healthcare (Basel, Switzerland) · 2023Review
- Using Arterial Pulse and Laser Doppler Analyses to Discriminate between the Cardiovascular Effects of Different Running Levels.Sensors (Basel, Switzerland) · 2023Article
- Logistic random forest boosting technique for Alzheimer's diagnosis.International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management · 2023Article
- Machine-Learning Classification of Pulse Waveform Quality.Sensors (Basel, Switzerland) · 2022Article
- Machine Learning Analyses Revealed Distinct Arterial Pulse Variability According to Side Effects of Pfizer-BioNTech COVID-19 Vaccine (BNT162b2).Journal of clinical medicine · 2022Article
- Discrimination of the Cognitive Function of Community Subjects Using the Arterial Pulse Spectrum and Machine-Learning Analysis.Sensors (Basel, Switzerland) · 2022Article
- Multi-Dimensional and Objective Assessment of Motion Sickness Susceptibility Based on Machine Learning.Frontiers in neurology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cerebrovascular atherosclerosis has been identified as a prominent pathological feature of Alzheimer's disease (AD); the link between vessel pathology and AD risk may also extend to extracranial arteries. This study aimed to determine the effectiveness of using arterial pulse-wave measurements and multilayer perceptron (MLP) analysis in distinguishing between AD and control subjects. Radial blood pressure waveform (BPW) and finger photoplethysmography signals were measured noninvasively for 3 min in 87 AD patients and 74 control subjects. The 5-layer MLP algorithm employed evaluated the following 40 harmonic pulse indices: amplitude proportion and its coefficient of variation, and phase angle and its standard deviation. The BPW indices differed significantly between the AD patients (6247 pulses) and control subjects (6626 pulses). Significant intergroup differences were found between mild, moderate, and severe AD (defined by Mini-Mental-State-Examination scores). The hold-out test results indicated an accuracy of 82.86%, a specificity of 92.31%, and a 0.83 AUC of ROC curve when using the MLP-based classification between AD and Control. The identified differences can be partly attributed to AD-induced changes in vascular elastic properties. The present findings may be meaningful in facilitating the development of a noninvasive, rapid, inexpensive, and objective method for detecting and monitoring the AD status.
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