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Techniques of EMG signal analysis: detection, processing, classification and applications

Raez MB, Hussain MS, Mohd-Yasin F

Biol Proced Online, 2006;8:11-35.
PMID: 16799694

Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable Hardware Chip (EHW) development, and modern human computer interaction. EMG signals acquired from muscles require advanced methods for detection, decomposition, processing, and classification. The purpose of this paper is to illustrate the various methodologies and algorithms for EMG signal analysis to provide efficient and effective ways of understanding the signal and its nature. We further point up some of the hardware implementations using EMG focusing on applications related to prosthetic hand control, grasp recognition, and human computer interaction. A comparison study is also given to show performance of various EMG signal analysis methods. This paper provides researchers a good understanding of EMG signal and its analysis procedures. This knowledge will help them develop more powerful, flexible, and efficient applications.
Fulltext Techniques of EMG signal analysis: detection, processing, classification and applications (Correction)

Reaz MB, Hussain MS, Mohd-Yasin F

Biol Proced Online, 2006;8:163.
PMID: 19565309 DOI: 10.1251/bpo124

This paper was originally published in Biological Procedures Online (BPO) on March 23, 2006. It was brought to the attention of the journal and authors that reference 74 was incorrect. The original citation for reference 74, "Stanford V. Biosignals offer potential for direct interfaces and health monitoring. Pervasive Computing, IEEE 2004; 3(1):99-103." should read "Costanza E, Inverso SA, Allen R. 'Toward Subtle Intimate Interfaces for Mobile Devices Using an EMG Controller' in Proc CHI2005, April 2005, Portland, OR, USA."
A study on discrete wavelet-based noise removal from EEG signals

Asaduzzaman K, Reaz MB, Mohd-Yasin F, Sim KS, Hussain MS

Adv Exp Med Biol, 2010;680:593-9.
PMID: 20865544 DOI: 10.1007/978-1-4419-5913-3_65

Electroencephalogram (EEG) serves as an extremely valuable tool for clinicians and researchers to study the activity of the brain in a non-invasive manner. It has long been used for the diagnosis of various central nervous system disorders like seizures, epilepsy, and brain damage and for categorizing sleep stages in patients. The artifacts caused by various factors such as Electrooculogram (EOG), eye blink, and Electromyogram (EMG) in EEG signal increases the difficulty in analyzing them. Discrete wavelet transform has been applied in this research for removing noise from the EEG signal. The effectiveness of the noise removal is quantitatively measured using Root Mean Square (RMS) Difference. This paper reports on the effectiveness of wavelet transform applied to the EEG signal as a means of removing noise to retrieve important information related to both healthy and epileptic patients. Wavelet-based noise removal on the EEG signal of both healthy and epileptic subjects was performed using four discrete wavelet functions. With the appropriate choice of the wavelet function (WF), it is possible to remove noise effectively to analyze EEG significantly. Result of this study shows that WF Daubechies 8 (db8) provides the best noise removal from the raw EEG signal of healthy patients, while WF orthogonal Meyer does the same for epileptic patients. This algorithm is intended for FPGA implementation of portable biomedical equipments to detect different brain state in different circumstances.
Anti-endotoxin effects of terpenoids fraction from Hygrophila auriculata in lipopolysaccharide-induced septic shock in rats

Hussain MS, Azam F, Ahamed KF, Ravichandiran V, Alkskas I

Pharm Biol, 2016 Apr;54(4):628-36.
PMID: 26428681 DOI: 10.3109/13880209.2015.1070877

Hygrophila auriculata (K. Schum) Heine (Acanthaceae) has been traditionally used for the treatment of various ailments such as inflammation, rheumatism, jaundice and malaria.
A step toward reducing air pollution in top Asian economies: The role of green energy, eco-innovation, and environmental taxes

Chien F, Sadiq M, Nawaz MA, Hussain MS, Tran TD, Le Thanh T

J Environ Manage, 2021 Nov 01;297:113420.
PMID: 34333309 DOI: 10.1016/j.jenvman.2021.113420

Environmental degradation is significantly studied both in the past and the current literature; however, steps towards reducing the environmental pollution in carbon emission and haze pollution like PM2.5 are not under rational attention. This study tries to cover this gap while considering the carbon emission and PM2.5 through observing the role of renewable energy, non-renewable energy, environmental taxes, and ecological innovation for the top Asian economies from 1990 to 2017. For analysis purposes, this research considers cross-sectional dependence analysis, unit root test with and without structural break (Pesaran, 2007), slope heterogeneity analysis, Westerlund and Edgerton (2008) panel cointegration analysis, Banerjee and Carrion-i-Silvestre (2017) cointegration analysis, long-short run CS-ARDL results, as well as AMG and CCEMG for robustness check. The empirical evidence in both the short- and long-run has confirmed the negative and significant effect of renewable energy sources, ecological innovation, and environmental taxes on carbon emissions and PM2.5. Whereas, non-renewable energy sources are causing environmental degradation in the targeted economies. Finally, various policy implications related to carbon emission and haze pollution like PM2.5 are also provided to control their harmful effect on the natural environment.
Assessing the efficiency and total factor productivity growth of the banking industry: do environmental concerns matters?

Shair F, Shaorong S, Kamran HW, Hussain MS, Nawaz MA, Nguyen VC

Environ Sci Pollut Res Int, 2021 Apr;28(16):20822-20838.
PMID: 33405126 DOI: 10.1007/s11356-020-11938-y

This paper investigates the efficiency and total factor productivity (TFP) growth of the Pakistani banking industry and determines the impact of risk and competition on the efficiency and TFP growth. The data envelopment analysis (DEA)-based Malmquist productivity index is used to measure efficiency and TFP growth of the Pakistani banking industry. The generalized method of moments (GMM) model is applied to observe the impact of risk and competition on efficiency and TFP growth. The motivation behind the use of GMM model is its ability to overcome unobserved heterogeneity, autocorrelation, and endogeneity issues. The results of the study show that the credit and liquidity risks have positive while insolvency risk has negative effect on the efficiency and TFP growth. The competition leads to improve technological efficiency but declines the technical efficiency growth. Among other explanatory variables, operational cost management, banking sector development, GDP growth rate, and infrastructure development show significant relationships with various efficiencies and TFP growth. The banks also facilitate for the purchase of carbon-intensive products in order to reduce carbon emissions. Strong banking development successfully allocate their financial resources for the development of energy-efficient technology while banking sector development is found to be negatively related with environmental sustainability. The strong banking sector possesses a significant negative influence on carbon reduction and environmental degradation.
Trilemma association of energy consumption, carbon emission, and economic growth of BRICS and OECD regions: quantile regression estimation

Nawaz MA, Hussain MS, Kamran HW, Ehsanullah S, Maheen R, Shair F

Environ Sci Pollut Res Int, 2021 Apr;28(13):16014-16028.
PMID: 33245544 DOI: 10.1007/s11356-020-11823-8

Recent research has shown a huge impact of non-renewable energy (NRE) production on environmental health. In this context, this work analyzes the effects of GDP growth and long- and short-term consumption of renewable and non-renewable energy (RE and NRE, respectively) on carbon emission in BRICS and OECD economies. The quantile autoregressive distributed lag (QARDL) model was employed on the panel data from 1980 to 2016. Findings suggest a negative GDP-carbon emission correlation and a positive NRE-carbon emission correlation in the considered economies. Furthermore, carbon emission decreases with increase in gross capital formation, whereas trade openness does not have any significant effect on carbon emission. It has been determined that the application of the error correction method (ECM) has less effect on energy consumption as compared to the past levels and changes in energy consumption. In the long-term, a positive correlation of carbon emission and energy consumption is observed, whereas limited short-term effects of energy consumption on carbon emission are observed. Therefore, an RE-based energy production approach is recommended in the selected region for the future projects.
Impact of credit, liquidity, and systematic risk on financial structure: comparative investigation from sustainable production

Sadiq M, Alajlani S, Hussain MS, Ahmad R, Bashir F, Chupradit S

Environ Sci Pollut Res Int, 2022 Mar;29(14):20963-20975.
PMID: 34748177 DOI: 10.1007/s11356-021-17276-x

The role of risk assessment and capital structure is vital for the sustainable growth of firms and increasing the shareholders' wealth. This research explores the correlation between firm risk and capital structure using datasets from the sugar and cement sectors of Pakistan as a developing economy. This study is unique as it involved two firms of different nature (sugar firms operate seasonally while cement firms operate yearly) to view the real picture on the impact of risk and structure assessment on firms' credibility and shareholders' wealth. For this purpose, 15-year data (2000-2014) containing the financial statements of the target sectors were collected and the ANOVA analysis was applied with credit risk, liquidity risk, systematic risk, and firm size were used as the regressor variables, firm growth and dividend payout ratio as the control variables, and leverage as the regression variable. The findings showed that credit risk and liquidity risk are significantly correlated with leverage. This suggests that decision-makers pertaining to firms' risk and efficiency must focus more on risk to pursue a stronger and sustainable increase in shareholder wealth.
Retraction Note: Impact of credit, liquidity, and systematic risk on financial structure: comparative investigation from sustainable production

Sadiq M, Alajlani S, Hussain MS, Ahmad R, Bashir F, Chupradit S

Environ Sci Pollut Res Int, 2024 Jul;31(33):46121.
PMID: 38980494 DOI: 10.1007/s11356-024-34318-2
Rapid diagnosis of Helicobacter pylori infection in gastric imprint smears

Kaur G, Madhavan M, Basri AH, Sain AH, Hussain MS, Yatiban MK, et al.

Southeast Asian J Trop Med Public Health, 2004 Sep;35(3):676-80.
PMID: 15689086

The objective of this study was to determine the sensitivity, specificity, positive (PPV), and negative predictive values (NPV) of Diff-Quik-stained gastric imprint cytology smears in the detection of H. pylori compared with histology. Air-dried imprint smears of gastric biopsies from 150 patients were stained by the Diff-Quik method in the endoscopy suite and examined for H. pylori, providing results within minutes. The presence of inflammation and intestinal metaplasia were documented. The same biopsy was processed and stained with H&E and Warthin-Starry stains, and reviewed by a different pathologist blind to the imprint cytology results. Ninety-four of the 150 patients were male with a mean age of 50 years. Based on histology, the H. pylori prevalence was very low at 8%. The sensitivity and specificity of imprint cytology in the detection of H. pylori were 83.3% and 100%, respectively. The PPV and NPV were 100% and 98.6%, respectively. There were two false negatives and no false positives. A combination of imprint cytology and histology achieved 100% sensitivity. Imprint smears did not provide added value over histology with regards to inflammation and metaplasia. Gastric imprint smears stained with Diff-Quik method is a rapid, cheap, and reliable method for the detection of H. pylori and have their best results when complemented with histology.
Fulltext Co-movement of energy prices and stock market return: environmental wavelet nexus of COVID-19 pandemic from the USA, Europe, and China

Chien F, Sadiq M, Kamran HW, Nawaz MA, Hussain MS, Raza M

Environ Sci Pollut Res Int, 2021 Feb 23;28(25):32359-73.
PMID: 33624244 DOI: 10.1007/s11356-021-12938-2

This work aims to study the time-frequency relationship between the recent COVID-19 pandemic and instabilities in oil price and the stock market, geopolitical risks, and uncertainty in the economic policy in the USA, Europe, and China. The coherence wavelet method and the wavelet-based Granger causality tests are applied to the data (31st December 2019 to 1st August 2020) based on daily COVID-19 observations, oil prices, US-EPU, the US geopolitical risk index, and the US stock price index. The short- and long-term COVID-19 consequences are depicted differently and may initially be viewed as an economic crisis. The results illustrate the reduced industrial productivity, which intensifies with the increase in the pandemic's severeness (i.e., a 10.57% decrease in the productivity index with a 1% increase in the pandemic severeness). Similarly, indices for oil demand, stock market, GDP growth, and electricity demand decrease significantly with an increase in the pandemic severeness index (i.e., a 1% increase in the pandemic severeness results in a 0.9%, 0.67%, 1.12%, and 0.65% decrease, respectively). However, the oil market shows low co-movement with the stock exchange, exchange rate, and gold markets. Therefore, investors and the government are recommended to invest in the oil market to generate revenue during the sanctions period.
Non-coding RNA mediated regulation of PI3K/Akt pathway in hepatocellular carcinoma: Therapeutic perspectives

Hussain MS, Moglad E, Afzal M, Gupta G, Hassan Almalki W, Kazmi I, et al.

Pathol Res Pract, 2024 Apr 27;258:155303.
PMID: 38728793 DOI: 10.1016/j.prp.2024.155303

Hepatocellular carcinoma (HCC) is among the primary reasons for fatalities caused by cancer globally, highlighting the need for comprehensive knowledge of its molecular aetiology to develop successful treatment approaches. The PI3K/Akt system is essential in the course of HCC, rendering it an intriguing candidate for treatment. Non-coding RNAs (ncRNAs), such as long ncRNAs (lncRNAs), microRNAs (miRNAs), and circular RNAs (circRNAs), are important mediators of the PI3K/Akt network in HCC. The article delves into the complex regulatory functions of ncRNAs in influencing the PI3K/Akt system in HCC. The study explores how lncRNAs, miRNAs, and circRNAs impact the expression as well as the function of the PI3K/Akt network, either supporting or preventing HCC growth. Additionally, treatment strategies focusing on ncRNAs in HCC are examined, such as antisense oligonucleotide-based methods, RNA interference, and small molecule inhibitor technologies. Emphasizing the necessity of ensuring safety and effectiveness in clinical settings, limitations, and future approaches in using ncRNAs as therapies for HCC are underlined. The present study offers useful insights into the complex regulation system of ncRNAs and the PI3K/Akt cascade in HCC, suggesting possible opportunities for developing innovative treatment approaches to address this lethal tumor.
A Rare Case of Brucellosis with Multivalvular Endocarditis and Complete Heart Block

Gothwal SK, Goyal K, Garg AS, Sahu BK, Agrawal M, Mishra A, et al.

Curr Cardiol Rev, 2024 Jul 03.
PMID: 38963101 DOI: 10.2174/011573403X290326240703100925

BACKGROUND: Brucellosis is a public health concern that affects multiple organs. However, cardiovascular problems arise infrequently, affecting fewer than 2% of cases, typically presenting as endocarditis.
CASE PRESENTATION: A 50-year male was admitted with low-grade fever, night sweats, weight loss (13 kg), malaise, and generalized weakness for the past 6 months. On clinical examination, he was febrile with 39.0°C, an average heart rate of 54 bpm, and 100/40 mmHg blood pressure. On cardiovascular examination, S1 and S2 were soft with pan systolic murmur present in the mitral area, and the early diastolic murmur was present in the left third intercostal space. Electrocardiography was suggestive of third-degree heart block with AV dissociation. Transthoracic echocardiography showed mobile vegetations attached to multiple valves- an aortic valve (18.2x11.9mm) and a mitral valve (2.9x7.5mm) with perivalvular abscess. He was given oral doxycycline (100mg B.D.) and rifampicin (600mg/day); the patient responded, but the AV block did not resolve.
CONCLUSION: This report has drawn attention to multivalvular involvement and cardiac rhythm abnormalities in Brucellosis (in this case, A.V. dissociation was present) because early diagnosis and treatment can cause a significant decrease in morbidity as well as mortality by appropriate treatment.
Fulltext Kaempferol: Paving the path for advanced treatments in aging-related diseases

Hussain MS, Altamimi ASA, Afzal M, Almalki WH, Kazmi I, Alzarea SI, et al.

Exp Gerontol, 2024 Apr;188:112389.
PMID: 38432575 DOI: 10.1016/j.exger.2024.112389

Aging-related diseases (ARDs) are a major global health concern, and the development of effective therapies is urgently needed. Kaempferol, a flavonoid found in several plants, has emerged as a promising candidate for ameliorating ARDs. This comprehensive review examines Kaempferol's chemical properties, safety profile, and pharmacokinetics, and highlights its potential therapeutic utility against ARDs. Kaempferol's therapeutic potential is underpinned by its distinctive chemical structure, which confers antioxidative and anti-inflammatory properties. Kaempferol counteracts reactive oxygen species (ROS) and modulates crucial cellular pathways, thereby combating oxidative stress and inflammation, hallmarks of ARDs. Kaempferol's low toxicity and wide safety margins, as demonstrated by preclinical and clinical studies, further substantiate its therapeutic potential. Compelling evidence supports Kaempferol's substantial potential in addressing ARDs through several mechanisms, notably anti-inflammatory, antioxidant, and anti-apoptotic actions. Kaempferol exhibits a versatile neuroprotective effect by modulating various proinflammatory signaling pathways, including NF-kB, p38MAPK, AKT, and the β-catenin cascade. Additionally, it hinders the formation and aggregation of beta-amyloid protein and regulates brain-derived neurotrophic factors. In terms of its anticancer potential, kaempferol acts through diverse pathways, inducing apoptosis, arresting the cell cycle at the G2/M phase, suppressing epithelial-mesenchymal transition (EMT)-related markers, and affecting the phosphoinositide 3-kinase/protein kinase B signaling pathways. Subsequent studies should focus on refining dosage regimens, exploring innovative delivery systems, and conducting comprehensive clinical trials to translate these findings into effective therapeutic applications.
Fulltext Hope on the horizon: Wharton's jelly mesenchymal stem cells in the fight against COVID-19

Gupta G, Hussain MS, Thapa R, Dahiya R, Mahapatra DK, Bhat AA, et al.

Regen Med, 2023 Sep;18(9):675-678.
PMID: 37554111 DOI: 10.2217/rme-2023-0077
Long non-coding RNAs in lung cancer: Unraveling the molecular modulators of MAPK signaling

Hussain MS, Afzal O, Gupta G, Altamimi ASA, Almalki WH, Alzarea SI, et al.

Pathol Res Pract, 2023 Sep;249:154738.
PMID: 37595448 DOI: 10.1016/j.prp.2023.154738

Lung cancer (LC) continues to pose a significant global medical burden, necessitating a comprehensive understanding of its molecular foundations to establish effective treatment strategies. The mitogen-activated protein kinase (MAPK) signaling system has been scientifically associated with LC growth; however, the intricate regulatory mechanisms governing this system remain unknown. Long non-coding RNAs (lncRNAs) are emerging as crucial regulators of diverse cellular activities, including cancer growth. LncRNAs have been implicated in LC, which can function as oncogenes or tumor suppressors, and their dysregulation has been linked to cancer cell death, metastasis, spread, and proliferation. Due to their involvement in critical pathophysiological processes, lncRNAs are gaining attention as potential candidates for anti-cancer treatments. This article aims to elucidate the regulatory role of lncRNAs in MAPK signaling in LC. We provide a comprehensive review of the key components of the MAPK pathway and their relevance in LC, focusing on aberrant signaling processes associated with disease progression. By examining recent research and experimental findings, this article examines the molecular mechanisms through which lncRNAs influence MAPK signaling in lung cancer, ultimately contributing to tumor development.
From nature to therapy: Luteolin's potential as an immune system modulator in inflammatory disorders

Hussain MS, Gupta G, Goyal A, Thapa R, Almalki WH, Kazmi I, et al.

J Biochem Mol Toxicol, 2023 Nov;37(11):e23482.
PMID: 37530602 DOI: 10.1002/jbt.23482

Inflammation is an essential immune response that helps fight infections and heal tissues. However, chronic inflammation has been linked to several diseases, including cancer, autoimmune disorders, cardiovascular diseases, and neurological disorders. This has increased interest in finding natural substances that can modulate the immune system inflammatory signaling pathways to prevent or treat these diseases. Luteolin is a flavonoid found in many fruits, vegetables, and herbs. It has been shown to have anti-inflammatory effects by altering signaling pathways in immune cells. This review article discusses the current research on luteolin's role as a natural immune system modulator of inflammatory signaling mechanisms, such as its effects on nuclear factor-kappa B, mitogen-activated protein kinases, Janus kinase/signal transducer and activator of transcription, and inflammasome signaling processes. The safety profile of luteolin and its potential therapeutic uses in conditions linked to inflammation are also discussed. Overall, the data point to Luteolin's intriguing potential as a natural regulator of immune system inflammatory signaling processes. More research is needed to fully understand its mechanisms of action and possible therapeutic applications.
Pharmacological, computational, and mechanistic insights into triptolide's role in targeting drug-resistant cancers

Hussain MS, Mujwar S, Babu MA, Goyal K, Chellappan DK, Negi P, et al.

Naunyn Schmiedebergs Arch Pharmacol, 2025 Jan 25.
PMID: 39862263 DOI: 10.1007/s00210-025-03809-5

As a promising candidate for tackling drug-resistant cancers, triptolide, a diterpenoid derived from the Chinese medicinal plant Tripterygium wilfordii, has been developed. This review summarizes potential antitumor activities, including the suppression of RNA polymerase II, the suppression of heat shock proteins (HSP70 and HSP90), and the blockade of NF-kB signalling. Triptolide is the first known compound to target cancer cells specifically but spare normal cells, and it has success in treating cancers that are difficult to treat, including pancreatic, breast, and lung cancers. It acts against the tolerance mechanisms, including efflux pump upregulation, epithelial-mesenchymal transition, and cancer stem cells. Triptolide modulates important cascades, including PI3K/AKT/mTOR, enhancing the efficacy of conventional therapies. Nonetheless, its clinical application is constrained by toxicity and bioavailability challenges. Emerging drug delivery systems, such as nanoparticles and micellar formulations, are being developed to address these limitations. It has strong interactions with key anticancer targets, like PARP, as determined in preclinical and computational studies consistent with its mechanism of action. Early-phase clinical trials of Minnelide, a water-soluble derivative of triptolide, are promising, but additional work is necessary to optimize dosing, delivery, and safety. This comprehensive analysis demonstrates that triptolide may constitute a repurposed precision medicine tool to overcome tolerance in cancer therapy.
Fulltext Phylogenetic classification of the world's tropical forests

Slik JWF, Franklin J, Arroyo-Rodríguez V, Field R, Aguilar S, Aguirre N, et al.

Proc Natl Acad Sci U S A, 2018 02 20;115(8):1837-1842.
PMID: 29432167 DOI: 10.1073/pnas.1714977115

Knowledge about the biogeographic affinities of the world's tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world's tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northern-hemisphere forests.

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