2023
DOI: 10.1371/journal.pone.0281219
|View full text |Cite
|
Sign up to set email alerts
|

Classification of deep vein thrombosis stages using convolutional neural network of electromyogram with vibrotactile stimulation toward developing an early diagnostic tool: A preliminary study on a pig model

Abstract: Deep vein thrombosis (DVT) can lead to life-threatening disorders; however, it can only be recognized after its symptom appear. This study proposed a novel method that can detect the early stage of DVT using electromyography (EMG) signals with vibration stimuli using the convolutional neural networks (CNN) algorithm. The feasibility of the method was tested with eight legs before and after the surgical induction of DVT at nine-time points. Furthermore, perfusion pressure (PP), intracompartmental pressure (IP),… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 61 publications
0
4
0
Order By: Relevance
“…To address the data imbalance, they employed the SMOTE–Tomek technique and achieved 92.86% accuracy. 71 Rai et al introduced a combined CNN-LSTM model to detect six types of cardiac arrhythmias based on samples from the MIT-BIH and PTB Diagnostic datasets. The data imbalance issue was addressed using the SMOTE–Tomek technique with an accuracy of 99.2%.…”
Section: Discussionmentioning
confidence: 99%
“…To address the data imbalance, they employed the SMOTE–Tomek technique and achieved 92.86% accuracy. 71 Rai et al introduced a combined CNN-LSTM model to detect six types of cardiac arrhythmias based on samples from the MIT-BIH and PTB Diagnostic datasets. The data imbalance issue was addressed using the SMOTE–Tomek technique with an accuracy of 99.2%.…”
Section: Discussionmentioning
confidence: 99%
“…The vibrating stimulus was just used to characterize muscle stiffness, not for therapeutic purposes. In our previous study [13], we investigated to determine how deep the vibration can be transmitted from a vibration motor attached to the thigh skin of pigs. The acceleration data was acquired at four randomized points in the thigh muscles to examine the PLOS ONE impact of vibration stimulation on vibration transmission depending on the depth of the soft tissue.…”
Section: Discussionmentioning
confidence: 99%
“…The depth was measured using an ultrasound machine. On average, the vibrations were detected at a depth of 3.06±0.08 cm beneath the skin, and were not detectable at a depth of 3.89±0.08 cm beneath the skin [ 40 ]. When considering the application of vibration to the human calf, which is the most susceptible area for human DVT, a transmission depth of 3~4 cm is sufficient to reach the calf muscles and is shallower than the deep veins [ 41 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation