A Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity

Seismocardiogram (SCG) signals are noninvasively obtained cardiomechanical signals containing important features for cardiovascular health monitoring. However, these signals are prone to contamination by motion noise, which can significantly impact accuracy and robustness of the measurements. A deep learning model based on the U-Net architecture is proposed to recover SCG signals contaminated by motion noise induced by walking. The model performance was evaluated through qualitative visualization, as well as quantitative analyses. Quantitative analyses included distance-based comparisons before and after applying our model. Analyses also included assessments of the model's efficacy in improving the performance of downstream tasks related to health parameter estimation during walking. Experimental findings revealed that the denoising model improved similarity to clean signals by approximately 90%. The performance of the model in enhancing heart rate estimation demonstrated a mean absolute error of 1.21 BPM and a root-mean-squared error (RMSE) of 1.97 BPM during walking after denoising with 9.16 BPM and 10.38 BPM improvements, respectively, compared to without denoising. Furthermore, the RMSEs of aortic opening and aortic closing time estimation after denoising for one dataset with catheter ground truth were 7.29 ms and 19.71 ms during walking, respectively, with 50.33 ms and 51.91 ms RMSE improvements compared to without denoising. And for another dataset with ICG-derived PEP ground truth, the RMSE of aortic opening time estimation after denoising was 10.21 ms during walking, with 38.74 ms RMSE improvement compared to without denoising. The proposed model attenuates motion noise from corrupted SCG signals while preserving cardiac information. This development paves the way for improved ambulatory cardiac health monitoring using wearable accelerometers during daily activities.

ITC-net-audio-5: an audio streaming dataset for application identification in network traffic classification

OBJECTIVES

An essential aspect of network traffic classification is application identification. This involves capturing and analyzing the traffic patterns of applications. There are a few publicly available datasets that specifically capture streaming data from network-based applications. Therefore, our objective is to generate an up-to-date dataset with a focus on audio streaming data. This dataset can be a valuable resource for identifying audio streaming applications in the field of network traffic classification.

DATA DESCRIPTION

The dataset contains network traffic captured during audio streaming communications on five trending applications: Google Meet, Skype, Telegram, WhatsApp, and SoundCloud. It includes 500 files in PCAP format captured by Wireshark and PCAPdroid tools during voice calls and online music playback. The concurrent utilization of these tools facilitates the avoidance of capturing background traffic.

A Comparison of Normalization Techniques for Individual Baseline-Free Estimation of Absolute Hypovolemic Status Using a Porcine Model

Hypovolemic shock is one of the leading causes of death in the military. The current methods of assessing hypovolemia in field settings rely on a clinician assessment of vital signs, which is an unreliable assessment of hypovolemia severity. These methods often detect hypovolemia when interventional methods are ineffective. Therefore, there is a need to develop real-time sensing methods for the early detection of hypovolemia. Previously, our group developed a random-forest model that successfully estimated absolute blood-volume status (ABVS) from noninvasive wearable sensor data for a porcine model (n = 6). However, this model required normalizing ABVS data using individual baseline data, which may not be present in crisis situations where a wearable sensor might be placed on a patient by the attending clinician. We address this barrier by examining seven individual baseline-free normalization techniques. Using a feature-specific global mean from the ABVS and an external dataset for normalization demonstrated similar performance metrics compared to no normalization (normalization: R2 = 0.82 ± 0.025|0.80 ± 0.032, AUC = 0.86 ± 5.5 × 10-3|0.86 ± 0.013, RMSE = 28.30 ± 0.63%|27.68 ± 0.80%; no normalization: R2 = 0.81 ± 0.045, AUC = 0.86 ± 8.9 × 10-3, RMSE = 28.89 ± 0.84%). This demonstrates that normalization may not be required and develops a foundation for individual baseline-free ABVS prediction.

Clinical Trials of Mesenchymal Stem Cells for the Treatment of COVID 19

Mesenchymal Stem Cells (MSCs) are being investigated as a treatment for a novel viral disease owing to their immunomodulatory, anti-inflammatory, tissue repair and regeneration characteristics, however, the exact processes are unknown. MSC therapy was found to be effective in lowering immune system overactivation and increasing endogenous healing after SARS-CoV-2 infection by improving the pulmonary microenvironment. Many studies on mesenchymal stem cells have been undertaken concurrently, and we may help speed up the effectiveness of these studies by collecting and statistically analyzing data from them. Based on clinical trial information found on clinicaltrials. gov and on 16 November 2020, which includes 63 clinical trials in the field of patient treatment with COVID-19 using MSCs, according to the trend of increasing studies in this field, and with the help of meta-analysis studies, it is possible to hope that the promise of MSCs will one day be realized. The potential therapeutic applications of MSCs for COVID-19 are investigated in this study.

Real-Time Seismocardiogram Feature Extraction Using Adaptive Gaussian Mixture Models

Wearable systems can provide accurate cardiovascular evaluations by estimating hemodynamic indices in real-time. Key hemodynamic parameters can be non-invasively estimated using the seismocardiogram (SCG), a cardiomechanical signal whose features link to cardiac events like aortic valve opening (AO) and closing (AC). However, tracking a single SCG feature is unreliable due to physiological changes, motion artifacts, and external vibrations. This work proposes an adaptable Gaussian Mixture Model (GMM) to track multiple AO/AC correlated features in quasi-real-time from the SCG. The GMM calculates the likelihood of an extremum being an AO/AC feature for each SCG beat. The Dijkstra algorithm selects heartbeat-related extrema, and a Kalman filter updates the GMM parameters while filtering features. Tracking accuracy is tested on a porcine hypovolemia dataset with varying noise levels. Blood volume loss estimation accuracy is also evaluated using the tracked features on a previously developed model. Experimental results show a 4.5 ms tracking latency and average root mean square errors (RMSE) of 1.47 ms for AO and 7.67 ms for AC at 10 dB noise, and 6.18 ms for AO and 15.3 ms for AC at -10 dB noise. When considering all AO/AC correlated features, the combined RMSE remains in similar ranges, specifically 2.70 ms for AO and 11.91 ms for AC at 10 dB noise, and 7.50 ms for AO and 16.35 ms for AC at -10 dB noise. The proposed algorithm offers low latency and RMSE for all tracked features, making it suitable for real-time processing. These systems enable accurate, timely extraction of hemodynamic indices for many cardiovascular monitoring applications, including trauma care in field settings.

Leveraging Physiological Markers to Quantify the Transient Effects of Traumatic Stress and Non-Invasive Neuromodulation. Annu Int Conf IEEE Eng Med Biol Soc 2023;2023:1-4. [PMID: 38083108 DOI: 10.1109/embc40787.2023.10340053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

Millions around the world suffer from traumatic stress (stress caused by traumatic memories). Transcutaneous cervical vagus nerve stimulation (tcVNS) has been shown to counteract physiological changes associated with traumatic stress. However, little is known regarding the approximate timecourse of tcVNS effects. This knowledge of how quickly tcVNS takes effect is needed to optimize closed-loop tcVNS systems that can mitigate traumatic stress in a timely manner. To address this gap, we studied N=26 participants with history of prior trauma. Participants wore electrocardiogram, photoplethysmogram, seismocardiogram, and respiratory effort sensors throughout a double-blind protocol involving traumatic stress and active tcVNS (n=12) or sham stimulation (n=14). From the physiological signals, we extracted cardiovascular and respiratory markers and studied their dynamics during the traumatic stress and stimulation conditions. We decoupled the short-term transient responses from longer-term cumulative changes by centering each condition's response with respect to data immediately prior to the condition. We thereby elucidate a diverse set of transient physiological responses to tcVNS and traumatic stress. These responses demonstrate that tcVNS-induced changes occur within seconds and have the potential to reduce acute physiological manifestations of traumatic stress.Clinical relevance- Traumatic stress can overpower an individual within seconds and often occurs outside the clinic. This analysis focuses on transient physiological responses to traumatic memories and tcVNS captured using multimodal physiological sensing. We demonstrate that tcVNS-induced changes occur within seconds and have the potential to mitigate some of the short-term effects of traumatic stress.

Synthetic seismocardiogram generation using a transformer-based neural network

OBJECTIVE

To design and validate a novel deep generative model for seismocardiogram (SCG) dataset augmentation. SCG is a noninvasively acquired cardiomechanical signal used in a wide range of cardivascular monitoring tasks; however, these approaches are limited due to the scarcity of SCG data.

METHODS

A deep generative model based on transformer neural networks is proposed to enable SCG dataset augmentation with control over features such as aortic opening (AO), aortic closing (AC), and participant-specific morphology. We compared the generated SCG beats to real human beats using various distribution distance metrics, notably Sliced-Wasserstein Distance (SWD). The benefits of dataset augmentation using the proposed model for other machine learning tasks were also explored.

RESULTS

Experimental results showed smaller distribution distances for all metrics between the synthetically generated set of SCG and a test set of human SCG, compared to distances from an animal dataset (1.14× SWD), Gaussian noise (2.5× SWD), or other comparison sets of data. The input and output features also showed minimal error (95% limits of agreement for pre-ejection period [PEP] and left ventricular ejection time [LVET] timings are 0.03 ± 3.81 ms and -0.28 ± 6.08 ms, respectively). Experimental results for data augmentation for a PEP estimation task showed 3.3% accuracy improvement on an average for every 10% augmentation (ratio of synthetic data to real data).

CONCLUSION

The model is thus able to generate physiologically diverse, realistic SCG signals with precise control over AO and AC features. This will uniquely enable dataset augmentation for SCG processing and machine learning to overcome data scarcity.

Simultaneous Effects of High Intensity Interval Training and Human Amniotic Membrane Scaffold on Rat Tibialis Anterior Vascularization and Innervation after Volumetric Muscle Loss Injury

BACKGROUND

Despite the high regenerative capacity of skeletal muscle, volumetric muscle loss (VML) is an irrecoverable injury. One therapeutic approach is the implantation of engineered biologic scaffolds.

OBJECTIVE

To investigate the simultaneous effect of high intensity interval training (HIIT) and the use of decellularized human amniotic membrane (dHAM) scaffolds on vascularization, growth factor, and neurotrophic factor gene expression, and muscle force generation in the tibialis anterior (TA) of rats after VML injury.

METHODS

VML injury was created in the TA of 24 rats, which were randomly divided into two groups-12 animals with and 12 without the use of a dHAM scaffold. After injury, each group was further divided into two groups of 6 animals each-sedentary and HIIT. Blood vessels were visualized and counted by hematoxylin and eosin staining. The PowerLab converter assay was used to evaluate isometric contraction force. The relative expression of neurotrophic factors and growth factor genes was measured with reverse transcription PCR (RT-PCR).

RESULTS

The number of blood vessels in the whole regenerating areas showed a significant difference in the dHAM-HIIT and dHAM-sedentary groups compared to the sedentary group without dHAM (p=0.001 and p=0.003, respectively). BDNF and GDNF mRNA levels in the dHAM-HIIT group were significantly (p<0.05) higher than those in other groups; NGF mRNA levels did not differ significantly among groups. Isometric contraction force in the dHAM-HIIT group was significantly (p=0.001) greater compared to the sedentary group without dHAM.

CONCLUSION

Combined use of dHAM scaffoldsand HIIT would improve the structure of the injured muscle during regeneration after VML by better vascular perfusion. HIIT leads to greater force generation and innervation by modulating neurotrophic factor synthesis in regenerating muscles.

Osteopontin siRNA does not confer resistance to toxic effects of parthenolide in Jurkat cells

BACKGROUND

Osteopontin (OPN) plays a critical role in cell proliferation and drug resistance in cancer treatment and hematological malignancies. In T cell acute lymphoblastic leukemia, most initial therapies can induce remission while some patients then relapse and do not respond well to chemotherapy. The sesquiterpene lactone parthenolide (PTL) can induce apoptosis in a variety of cancer cell lines via inhibition of pro-inflammatory transcription factor nuclear factor kappa B and has anti-tumor activity in acute lymphoblastic leukemia treatment.

AIM

To study the role of OPN in conferring in vitro resistance to PTL in Jurkat cells.

METHODS

Jurkat cells were cultured with 8-20 μm PTL for 48 h. Transfection with OPN siRNA was provided. Apoptosis assays were performed with Annexin V-Alexa Fluor-488/PI. Quantitative real-time polymerase chain reaction was used to measure OPN gene expression using the 2-2^-ΔΔCt method.

RESULTS

PTL has cytotoxic and apoptotic effect on Jurkat cells with IC₅₀ values of 16.1 μm, and growth inhibition effect of PTL does not differ significantly in combination with OPN-siRNA. OPN gene expression is not affected by PTL.

CONCLUSIONS

Parthenolide induces apoptosis in Jurkat cells, but inhibition of osteopontin gene expression with siRNA does not reduce apoptotic effect of parthenolide.

Effect of aerobic exercise on innate immune responses and inflammatory mediators in the spinal cord of diabetic rats

Neuronal inflammation is one of the pathophysiological causes of diabetes neuropathic pain. The purpose of this research was to determine the effect of aerobic exercise on innate immune responses and inflammatory mediators in the spinal dorsal horn in rats with diabetic neuropathic pain. 40 eight-week-old male Wistar rats (weight range 220±10.2 g) were randomly divided into four groups of (1) sedentary diabetic neuropathy (SDN), (2) training diabetic neuropathy (TDN), (3) training control (TC), and (4) sedentary control (SC). Diabetes was induced by injection of streptozocin (50 mg/kg). Following confirmation of behavioural tests for diabetes neuropathy, the training groups performed 6 weeks of moderate-intensity aerobic exercise on the treadmill. The expression of Toll like receptor (TLR)4, TLR2, tumour necrosis factor (TNF)-α, interleukin (IL)-1β and IL-10 genes in L4-L6 spinal cord sensory neurons was measured by Real Time PCR. Two-way ANOVA and Bonferroni’s post hoc tests were used for statistical analysis. After performing aerobic exercise protocol, the TDN compared to the SDN showed a significant decrease in the mean score of pain in the formalin test and a significant increase in the latency in Tail-Flick test was observed. The expression of TLR4, TLR2, TNF-α and IL-1β genes was significantly higher in the SDN than in the SC group (P<0.05). The expression of the above genes in the TDN was significantly lower than the SDN group (P<0.05). Also, the expression level of IL-10 gene was significantly higher in the TDN than the SDN group (P<0.05). Aerobic exercise improved sensitivity of nociceptors to pain-inducing agents in diabetic neuropathy due to inhibition of inflammatory receptors and increased levels of anti-inflammatory agents in the nervous system. Thus, aerobic exercise should be used as a non-pharmacological intervention for diabetic patients to reduce neuropathic pain.

Sophisticated polycaprolactone/gelatin nanofibrous nerve guided conduit containing platelet-rich plasma and citicoline for peripheral nerve regeneration: In vitro and in vivo study

Peripheral nerve injury (PNI) is a devastating condition that may result in loss of sensory function, motor function, or both. In the present study, we construct an electrospun nerve guide conduit (NGC) based on polycaprolactone (PCL) and gelatin filled with citicoline bearing platelet-rich plasma (PRP) gel as a treatment for PNI. The NGCs fabricated from PCL/Gel polymeric blend using the electrospinning technique. The characterizations demonstrated that the fabricated nanofibers were straight with the diameter of 708 ± 476 nm, the water contact angle of 78.30 ± 2.52°, the weight loss of 41.60 ± 6.94% during 60 days, the tensile strength of 5.31 ± 0.97 MPa, and the young's modulus of 3.47 ± 0.10 GPa. The in vitro studies revealed that the PCL/Gel/PRP/Citi NGC was biocompatible and hemocompatible. The in vivo studies conducted on sciatic nerve injury in rats showed that the implantation of PCL/Gel/PRP/Citi NGC induced regeneration of nerve tissue, demonstrated with histopathological assessments. Moreover, the sciatic function index (SFI) value of -30.3 ± 3.5 and hot plate latency time of 6.10 ± 1.10 s revealed that the PCL/Gel/PRP/Citi NGCs recovered motor and sensory functions. Our findings implied that the fabricated NGC exhibited promising physicochemical and biological activates favorable for PNI treatment.

Evaluation of a new lymphocyte proliferation assay based on cyclic voltammetry; an alternative method

Lymphocyte proliferation assays are widely used to assess the cell-mediated immunity. Current in vitro testing methods that are being used have extensive applications but still more problematic, due to the technical complexity and the needs for specialized equipment and reagents. Electrochemical methods such as cyclic voltammetry represent a very promising tool for the development of label-free in vitro assays of cell proliferation and viability. Here, a novel procedure based on voltammetric behaviours of proliferating cells was fabricated. Results indicated that proliferation in cell cultures and whole blood can be monitored electrochemically using cyclic voltammetry. In the comparison with colorimetric (MTT) assay, cyclic voltammetry gave the best correlation with cell count data over a range of 1200-300,000 cells/well of a microplate. Besides the advantages of short assay duration (4 hours) and the rapidness, the possibility use of fresh blood without further processing, would give more accurate results because cells are monitoring in an intact environment. Cyclic voltammetry assay is an efficient analytical method, which can provide a simple platform for the electrochemical study of lymphocyte proliferation.

Aberrant promoter hypermethylation of selected apoptotic genes in childhood acute lymphoblastic leukemia among North Indian population

Promoter hypermethylation mediates gene silencing in many neoplasms. Acute leukemia has been reported to harbor multiple genes aberrantly silenced by hypermethylation.

AIM

In present study, we investigated the prevalence of hypermethylation of caspase-8 (CASP8), TMS1 and DAPK genes in correlation with clinicopathological factors in childhood acute lymphoblastic leukemia (ALL).

MATERIALS AND METHODS

A case-control study has been conducted based on bone marrow and peripheral blood samples from 125 ALL patients and 100 sex-age matched healthy controls. Methylation specific polymerase chain reaction (PCR) and bisulfite sequencing PCR was performed to analyze the methylation status of these genes. Reverse transcription PCR and real time PCR was carried out to determine changes in the mRNA expression level of the genes due to hypermethylation.

RESULTS

Hypermethylation of the 5´CpG islands of the CASP8, TMS1 and DAPK gene promoters was found in 3.2, 6.4, and 13.6% of 125 childhood ALL samples from north Indian population, respectively. There were significant differences in pattern of hypermethylation of TMS1 (p = 0.045) and DAPK (p &lt; 0.001) between patients and healthy controls. Down-regulation of mRNA expression was found in cases in which CASP8, TMS1 and DAPK were hypermethylated.

CONCLUSIONS

The present study indicated the impact of hypermethylation-mediated inactivation of CASP8, TMS1 and DAPK genes, which is associated with risk of childhood ALL. This abnormality occurs in leukemogenesis and it may be used as a biomarker and for predicting the prognosis of ALL.

Parthenolide reduces gene transcription of prosurvival mediators in U937 cells

In acute myeloid leukemia (AML) the functional abnormalities of osteopontin (OPN), NF-kB, PI3K/AKT/mTOR/PTEN pathway or β-catenin have been considered.

AIM

To analyze the response of U937 cells to parthenolide (PTL) through the involvement of expression of OPN protein, RelB, AKT1, mTOR, PTEN and β-catenin genes.

MATERIALS AND METHODS

The U937 cells were treated with PTL at concentrations of 4 μM (IC25) or 6 μM (IC50) and with OPN siRNA for MTT assay and colony forming assay. Western blot analysis using antibodies against OPN was performed with lysates of PTL-treated cells. Quantitative real-time polymerase chain reaction was performed using primers for OPN siRNA, RelB, AKT1, mTOR, PTEN and β-catenin.

RESULTS

PTL reduces OPN protein level and down-regulates RelB mRNA in U937 cell line. Suppression of OPN with siRNA increases the cytotoxic effects of PTL. Also, mRNA expression of AKT1, mTOR, PTEN, and β-catenin decreases with PTL or OPN siRNA.

CONCLUSION

Sensitivity of U937 cells to PTL can be associated with the reduction in expression of prosurvival mediators.

A COMPARATIVE ANALYSIS OF METHYLATION STATUS OF TUMOR SUPPRESSOR GENES IN PAIRED BIOPSY AND SERUM SAMPLES FROM CERVICAL CANCER PATIENTS AMONG NORTH INDIAN POPULATION

Tumor-specific genetic or epigenetic alterations have been detected in serum DNA in case of various types of cancers. In breast cancer, the detection of tumor suppressor gene hypermethylation has been reported in several body fluids. Promoter hypermethylation of some genes like MYOD1, CALCA, hTERT etc. has also been detected in serum samples from cervical cancer. The present study is the first report on the comparison of promoter hypermethylation of tumor suppressor genes likep14, p15, p16, p21, p27, p57, p53, p73, RARβ2, FHIT, DAPK, STAT1 and-RB1 genes in paired biopsy and serum samples from cervical cancer patients among north Indian population. This is also the first report on the hypermethylation of these genes in serum samples from cervical cancer patients among north Indian population. According to the results of the present study, promoter hypermethylation of these genes can also be detected in serum samples of cervical cancer patients. The sensitivity of detection of promoter hypermethylation in serum samples of cervical cancer patients as compared to paired biopsy samples was found to be around 83.3%. It was observed that promoter hypermethylation was mainly observed in the serum samples in the higher stages and very rarely in the lower stages. The present study clearly showed that serum of patients with cervical cancer can also be used to study methylated genes as biomarkers.

Role of Temperament, Personality Traits and Onset Age of Smoking in Predicting Opiate Dependence

BACKGROUND

According to drug gateway theory, smoking cigarettes, especially, low onset age of smoking, is one of the risk factors for future use.

OBJECTIVES

The present study aimed to compare nicotine and opiate addicts to identify the differences in personality traits and onset age of smoking in the two groups that cause some individuals to appeal to other substances after starting to use cigarettes.

PATIENTS AND METHODS

Two groups of opiate and nicotine addicts were randomly selected. Revised version of the Cloninger temperament inventory questionnaire, the Fagrastrom nicotine dependence and the Maudsley addiction profile were used. ANOVA and logistic regression were applied for data analysis.

RESULTS

Opiate addicts had higher scores in novelty seeking dimension and lower scores in cooperativeness compared to nicotine addicts. The onset age of smoking cigarette in opiate addicts was lower than nicotine addicts.

CONCLUSIONS

Low onset age of smoking cigarettes, high novelty seeking and low cooperativeness in opiate dependents are among the important personality traits in future use of drugs that can predict the subsequent onset of using opiate drugs.

Polymorphisms of MTHFR and MTR genes are not related to susceptibility to childhood ALL in North India

BACKGROUND

Acute lymphoblastic leukemia (ALL) is the most worldwide common type of childhood cancer. Methylenetetrahydrofolate reductase (MTHFR) and 5-methyltetrahydrofolate-homocysteine methyltransferase (MTR) participate in folate pathways and are known as critical factors for DNA integrity as well as DNA hypomethylation. The aim of this work is to investigate frequency of MTHFR (677C→T and 1298A→C) and MTR (2756A→G) polymorphisms and their interaction with respect to possible effect on risk of childhood ALL among North Indian population.

PROCEDURE

A case control study from has been conducted on bone marrow and peripheral blood samples from 125 ALL patients and 100 sex-age matched healthy controls using PCR-RFLP method.

RESULTS

No statistically significant differences were observed for different genotypes between patients and controls (p>0.05). Significant difference for the risk of ALL in individuals having genotype of MTHFR 677TT (OR=0.61, 95% CI=0.21-1.77) and MTHFR 1298CC (OR=0.56, 95% CI=0.18-1.68) was not observed. The correlation of SNP of MTR gene and risk of ALL was not observed, too.

CONCLUSIONS

The differences in distribution of possible combined genotypes of MTHFR (677C→T, 1298A→C) and MTR (2756A→G) between ALL patients and controls were statistically insignificant.

Reversal of hypermethylation and reactivation of the RARβ2 gene by natural compounds in cervical cancer cell lines

Reactivation of tumour suppressor genes that have been silenced by promoter methylation is a very attractive molecular target for cancer therapy. The treatment of a squamous cervical cancer cell line, SiHa, with 20 μM curcumin and genistein resulted in demethylation of promoter of the RARβ2 gene and led to the reactivation of the gene. The degree of methylation as observed by MSP decreased as the time period of treatment was increased from 72 h to 6 days. In HeLa cells (an adenocarcinoma cervical cancer cell line) there was also reversal of hypermethylation of the RARβ2 gene after six days of treatment with 20 μM curcumin. However, allyl sulphide treatment (20 μM) did not cause the reversal of hypermethylation until 72 h of treatment in the SiHa cell line. This is the first report to show the reversal of hypermethylation of the RARβ2 gene by genistein and curcumin in cervical cancer cell lines. Furthermore, these compounds acted as doublepronged agents as they caused apoptosis in the treated cervical cancer cell lines in addition to reversal of promoter hypermethylation.