scholarly journals ANALYZING THE INFLUENCING FACTORS OF SPORTS FATIGUE BASED ON ALGORITHM

2021 ◽  
Vol 27 (4) ◽  
pp. 377-380
Author(s):  
Cheng Wang
Keyword(s):  
Influencing Factors ◽  
Composite Index ◽  
Level Of Evidence ◽  
Monitoring Method ◽  
Feature Extraction Method ◽  
Non Invasive ◽  
Svm Algorithm ◽  
Motion Characteristics ◽  
Exercise Fatigue ◽  
High Degree

ABSTRACT Objective: This paper discusses the monitoring method of exercise fatigue and analyzes the influencing factors of exercise fatigue. Methods: Based on the feature extraction method of the fatigue image signal, a series of changes caused by exercise fatigue are analyzed by the biofeedback technique. SVM algorithm and neural network model are used to identify the fatigue state of motion. Characteristics of electroencephalogram (EEG) and electromyography (EMG) during fatigue. Results: When sports fatigue occurred, the composite index of bio-feedback technology shows a decrease in HRV index and increases in HRV time-domain indicators, frequency-domain indicators, and SAa values. Conclusions: It has a high degree of systematization. The proposed method is non-invasive and has practical application value. Level of evidence II; Therapeutic studies - investigation of treatment results.

scholarly journals Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yunjeong Yang ◽  
Ji Eun Kim ◽  
Hak Jin Song ◽  
Eun Bin Lee ◽  
Yong-Keun Choi ◽  
...  
Keyword(s):  
Water Content ◽  
Monitoring System ◽  
Standing Wave ◽  
Magnetic Particles ◽  
Experimental Plant ◽  
Invasive Monitoring ◽  
Monitoring Method ◽  
Non Invasive ◽  
Content Variation ◽  
Stem Water

Abstract Background Water content variation during plant growth is one of the most important monitoring parameters in plant studies. Conventional parameters (such as dry weight) are unreliable; thus, the development of rapid, accurate methods that will allow the monitoring of water content variation in live plants is necessary. In this study, we aimed to develop a non-invasive, radiofrequency-based monitoring system to rapidly and accurately detect water content variation in live plants. The changes in standing wave ratio (SWR) caused by the presence of stem water and magnetic particles in the stem water flow were used as the basis of plant monitoring systems. Results The SWR of a coil probe was used to develop a non-invasive monitoring system to detect water content variation in live plants. When water was added to the live experimental plants with or without illumination under drought conditions, noticeable SWR changes at various frequencies were observed. When a fixed frequency (1.611 GHz) was applied to a single experimental plant (Radermachera sinica), a more comprehensive monitoring, such as water content variation within the plant and the effect of illumination on water content, was achieved. Conclusions Our study demonstrated that the SWR of a coil probe could be used as a real-time, non-invasive, non-destructive parameter for detecting water content variation and practical vital activity in live plants. Our non-invasive monitoring method based on SWR may also be applied to various plant studies.

scholarly journals Exploring personalized postoperative non-invasive tissue oximetry in DIEP flap breast reconstruction

2021 ◽  
Author(s):  
Anouk A. M. A. Lindelauf ◽  
Nousjka P. A. Vranken ◽  
Rutger M. Schols ◽  
Esther A. C. Bouman ◽  
Patrick W. Weerwind ◽  
...  
Keyword(s):  
Early Detection ◽  
Breast Reconstruction ◽  
Near Infrared ◽  
Diep Flap ◽  
Baseline Measurement ◽  
Flap Surgery ◽  
Level Of Evidence ◽  
Non Invasive ◽  
Vascular Compromise ◽  
Tissue Oximetry

Abstract Early detection of vascular compromise after autologous breast reconstruction is crucial to enable timely re-exploration for flap salvage. Several studies proposed non-invasive tissue oximetry for early identification of ischemia of deep inferior epigastric perforator (DIEP) flaps. The present study aimed to explore the utility of non-invasive tissue oximetry following DIEP flap surgery using a personalized oxygenation threshold. Methods Patients undergoing immediate/delayed DIEP flap surgery were included in this prospective observational study. DIEP flap tissue oxygenation (StO2) was monitored continuously using near-infrared spectroscopy. A baseline measurement was performed by positioning one sensor at the marked position of the major inferior epigastric perforator on the abdomen. A new sensor was positioned postoperatively on the transplanted tissue. In unilateral procedures, postoperative StO2 values of the native breast were also obtained. Measurements were continued for 24 h. Results Thirty patients (42 flaps) were included. Fourteen patients (46.7%) had an uncomplicated postoperative course. A minor complication was observed in thirteen patients; in five patients, at least one major complication occurred, requiring re-exploration. Median StO2 readings were significantly lower in patients with major complications compared to uncomplicated cases. In fourteen unilateral DIEP flap procedures, StO2 values of the native breast were similar to the preoperative baseline measurement (92%; p = 0.452). Conclusions Non-invasive tissue oximetry following DIEP flap surgery could aid in early detection of vascular compromise. StO2 values of the native breast and abdominal wall preoperatively can be used interchangeably and can serve as personalized reference value. Level of evidence: Level IV, diagnostic / prognostic study.

Diagnosis Of Deep Vein Thrombosis - “The Case for NonInvasive Testing”

1981 ◽  
Author(s):  
R Hull ◽  
J Hirsh
Keyword(s):  
Deep Vein Thrombosis ◽  
High Sensitivity ◽  
Cost Effective ◽  
Impedance Plethysmography ◽  
Noninvasive Testing ◽  
Vein Thrombosis ◽  
Non Invasive ◽  
Long Term Follow Up ◽  
Deep Vein ◽  
High Degree

Ascending venography, although the diagnostic standard for deep vein thrombosis (DVT), has important clinical pitfalls and shortcomings. It is invasive and thus not readily repeated: its use is associated with significant discomfort in many patients and in 3-4% of patients post-veno- graphic phlebitis is induced. A high degree of technical and interpretive skill is required and in up to 20% of patients routine ascending venography fails to visualize the external and common iliac veins. In many hospitals, outpatient access is not readily available necessitating admission to hospital for elective venography. Non-invasive testing with impedance plethysmography (IPG) is gaining increasing acceptance and use because it is objective, versatile and free of morbidity. IPG is sensitive and specific for symptomatic proximal DVT, but has the potential limitation that it is insensitive to calf DVT. Because of this, two different non-invasive approaches are currently advocated: a) serial IPG’s to detect calf vein thrombi which extend proximally (advocates of this approach suggest that calf DVT rarely lead to symptomatic pulmonary emboli unless proximal extension occurs) and b) addition of leg scanning to detect calf DVT. The effectiveness of serial IPG’s is uncertain and to resolve this issue we are currently performing a randomized trial. Multiple large studies however demonstrate that because of both high sensitivity and specificity, the combined approach of IPG and leg scanning provides a replacement for venography in the majority of symptomatic patients. Furthermore, the safety of witholding anticoagulant therapy in patients negative by combined IPG and leg scanning has been confirmed by long-term follow-up. Combined IPG and leg scanning is more cost-effective than elective venography because these non-invasive tests are readily performed in the emergency room or clinic, thus preventing unnecessary admission to hospital of patients with clinically suspected DVT who are negative by testing.

Neuromodulatory approaches for bipolar disorder: current evidences and future perspectives

2017 ◽  
Author(s):  
Andre Russowsky Brunoni ◽  
Bernardo de Sampaio Pereira Júnior ◽  
Izio Klein
Keyword(s):  
Bipolar Disorder ◽  
Deep Brain Stimulation ◽  
Vagus Nerve Stimulation ◽  
Magnetic Stimulation ◽  
Treatment Strategies ◽  
Future Perspectives ◽  
Non Invasive ◽  
Invasive Techniques ◽  
High Degree ◽  
Deep Brain

Bipolar disorder is a prevalent condition, with few therapeutic options and a high degree of refractoriness. This justifies the development of novel non-pharmacological treatment strategies, such as the non-invasive techniques of transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS), as well as the invasive techniques of deep brain stimulation (DBS) and vagus nerve stimulation (VNS). In this chapter, we provide a summary of the development of the techniques as well as the studies carried out with patients with bipolar disorder. Although many promising results regarding the efficacy of theses techniques were described, the total number of studies is still low, highlighting the need of further studies in larger samples as to provide a definite picture regarding the use of clinical neuromodulation in bipolar disorder.

The application of susceptibility-weighted MRI in pre-interventional evaluation of intracranial dural arteriovenous fistulas

2016 ◽  
Vol 9 (5) ◽  
pp. 502-507 ◽  
Author(s):  
Narendra Kumar Jain ◽  
Santhosh Kumar Kannath ◽  
Tirur Raman Kapilamoorthy ◽  
Bejoy Thomas
Keyword(s):  
Clinical Symptoms ◽  
Therapeutic Assessment ◽  
Arteriovenous Fistulas ◽  
Non Invasive ◽  
Conventional Mri ◽  
Dural Arteriovenous Fistulas ◽  
Cortical Venous Reflux ◽  
Venous Ectasia ◽  
High Degree

Background and purposeDetection and characterization of intracranial dural arteriovenous fistula (DAVF) is important to plan appropriate therapeutic management. The aim of this study was to analyze the utility of susceptibility-weighted MRI (SWI) in the pre-therapeutic assessment of DAVF in comparison with gold standard digital subtraction angiography (DSA).Materials and methodsProspectively, 26 patients with DAVFs underwent a thorough clinical examination and MRI including SWI followed by cerebral DSA. Two observers blinded to the DSA findings evaluated conventional MRI and SWI images and identified the fistulous area (FA), cortical venous reflux (CVR), and cortical venous ectasia (CVE) and compared these observations with the DSA findings documented by a third observer.ResultsAggressive clinical symptoms were observed in 31% of patients and benign features were noted in 69% of DAVFs. Conventional MRI could identify the FA in only 27% of patients. SWI accurately located 75% of all the FAs in 23 patients. However, SWI failed to identify DAVFs in three patients. CVR was detected in 89.6% of all aggressive DAVFs. The accuracy of SWI to identify CVE was 100% and the extent and degree correlated with DSA observations.ConclusionsSWI is a reliable non-invasive tool for the localization and characterization of DAVFs and is superior to conventional MRI in the evaluation of DAVFs. This sequence can demonstrate underlying cerebral hemodynamic stresses with a high degree of accuracy and provide valuable pre-therapeutic information.

scholarly journals Analysis of classification methods suitable for band limited spatially filtered EEG signal applicable to non-invasive BCI

2019 ◽  
Vol 8 (9) ◽  
pp. 1689-1694
Keyword(s):  
Feature Extraction ◽  
Nearest Neighbor ◽  
Support Vector ◽  
K Nearest Neighbor ◽  
Common Spatial Pattern ◽  
Linear Discriminant ◽  
Feature Extraction Method ◽  
Non Invasive ◽  
Band Limited ◽  
Ca Sensitivity

Electroencephalographic (EEG) signals are the preferred input for non-invasive Brain-Computer Interface (BCI). Efficient signal processing strategies, including feature extraction and classification, are required to distinguish the underlying task of BCI. This work proposes the optimized common spatial pattern(CSP) filtering technique as the feature extraction method for collecting the spatially spread variation of the signal. The bandpass filter (BPF) designed for this work assures the availability of event-related synchronized (ERS) and event-related desynchronized (ERD) signal as input to the spatial filter. This work takes consideration of the area-specific electrodes for feature formation. This work further proposes a comparative analysis of classifier algorithms for classification accuracy(CA), sensitivity and specificity and the considered algorithms are Support Vector Machine(SVM), Linear Discriminant Analysis(LDA), and K-Nearest Neighbor(KNN). Performance parameters considered are CA, sensitivity, and selectivity, which can judge the method not only for high CA but also inclining towards the particular class. Thus it will direct in the selection of appropriate classifier as well as tuning the classifier to get the balanced results. In this work, CA, the prior performance parameter is obtained to be 88.2% sensitivity of 94.2% and selectivity 82.2% for the cosine KNN classifier. SVM with linear kernel function also gives the comparable results, thus concluding that the robust classifiers perform well for all parameters in case of CSP for feature extraction.

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