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Article ; Online: WTASR

Tripti Choudhary / Vishal Goyal / Atul Bansal

Big Data Mining and Analytics, Vol 6, Iss 1, Pp 85-

Wavelet Transformer for Automatic Speech Recognition of Indian Languages

2023 Volume 91

Abstract: Automatic speech recognition systems are developed for translating the speech signals into the corresponding text representation. This translation is used in a variety of applications like voice enabled commands, assistive devices and bots, etc. There is ...

Abstract	Automatic speech recognition systems are developed for translating the speech signals into the corresponding text representation. This translation is used in a variety of applications like voice enabled commands, assistive devices and bots, etc. There is a significant lack of efficient technology for Indian languages. In this paper, an wavelet transformer for automatic speech recognition (WTASR) of Indian language is proposed. The speech signals suffer from the problem of high and low frequency over different times due to variation in speech of the speaker. Thus, wavelets enable the network to analyze the signal in multiscale. The wavelet decomposition of the signal is fed in the network for generating the text. The transformer network comprises an encoder decoder system for speech translation. The model is trained on Indian language dataset for translation of speech into corresponding text. The proposed method is compared with other state of the art methods. The results show that the proposed WTASR has a low word error rate and can be used for effective speech recognition for Indian language.
Keywords	transformer ; wavelet ; automatic speech recognition (asr) ; indian language ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	410
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	Tsinghua University Press
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Call for global standards in clinical yoga trials

Atul Kumar Goyal

Yoga-Mimamsa, Vol 51, Iss 2, Pp 63-

2019 Volume 67

Abstract: Clinical yoga trials, which were conducted in medical research institutes, found to skew toward imposing positive health impacts. Several concerns related with the clinical yoga trials including the availability of exclusive ethical committee to review ... ...

Abstract	Clinical yoga trials, which were conducted in medical research institutes, found to skew toward imposing positive health impacts. Several concerns related with the clinical yoga trials including the availability of exclusive ethical committee to review yoga research proposal, compensation to the poor patients, patient's actual will to participate in the study, yoga trainer qualification, insurance policy for patients if being harmed, standard yoga protocols (exercise, stretching, bending, meditation, music, timings, and duration), mode of training (self-practice by video or personal trainer), assessment of level of compliance, religious concerns, law and legislation have been neglected, not highlighted, or not well justified by most of the studies. The present article represents the grassroot level of experience of clinical yoga trials in medical research institutes and recommended that, until and unless the global standards for clinical yoga trials have not been introduced, for the safety of the patient, either yoga trials should not be allowed in medical and research institutes or all institutions should follow the standard study designs described in highly indexed standard journals.
Keywords	ethics ; health ; medical ; meditation ; patients ; yoga ; Other systems of medicine ; RZ201-999 ; Therapeutics. Pharmacology ; RM1-950
Subject code	170
Language	English
Publishing date	2019-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Machine learning-based automatic detection of novel coronavirus (COVID-19) disease.

Bhargava, Anuja / Bansal, Atul / Goyal, Vishal

Multimedia tools and applications

2022 Volume 81, Issue 10, Page(s) 13731–13750

Abstract: The pandemic was announced by the world health organization coronavirus (COVID-19) universal health dilemma. Any scientific appliance which contributes expeditious detection of coronavirus with a huge recognition rate may be excessively fruitful to ... ...

Abstract	The pandemic was announced by the world health organization coronavirus (COVID-19) universal health dilemma. Any scientific appliance which contributes expeditious detection of coronavirus with a huge recognition rate may be excessively fruitful to doctors. In this environment, innovative automation like deep learning, machine learning, image processing and medical image like chest radiography (CXR), computed tomography (CT) has been refined promising solution contrary to COVID-19. Currently, a reverse transcription-polymerase chain reaction (RT-PCR) test has been used to detect the coronavirus. Due to the moratorium period is high on results tested and huge false negative estimates, substitute solutions are desired. Thus, an automated machine learning-based algorithm is proposed for the detection of COVID-19 and the grading of nine different datasets. This research impacts the grant of image processing and machine learning to expeditious and definite coronavirus detection using CXR and CT medical imaging. This results in early detection, diagnosis, and cure for the accomplishment of COVID-19 as early as possible. Firstly, images are preprocessed by normalization to enhance the quality of the image and removing of noise. Secondly, segmentation of images is done by fuzzy c-means clustering. Then various features namely, statistical, textural, histogram of gradients, and discrete wavelet transform are extracted (92) and selected from the feature vector by principle component analysis. Lastly, k-NN, SRC, ANN, and SVM are used to make decisions for normal, pneumonia, COVID-19 positive patients. The performance of the system has been validated by the k (5) fold cross-validation technique. The proposed algorithm achieves 91.70% (k-Nearest Neighbor), 94.40% (Sparse Representation Classifier), 96.16% (Artificial Neural Network), and 99.14% (Support Vector Machine) for COVID detection. The proposed results show feature combination and selection improves the performance in 14.34 s with machine learning and image processing techniques. Among k-NN, SRC, ANN, and SVM classifiers, SVM shows more efficient results that are promising and comparable with the literature. The proposed approach results in an improved recognition rate as compared to the literature review. Therefore, the algorithm proposed shows immense potential to benefit the radiologist for their findings. Also, fruitful in prior virus diagnosis and discriminate pneumonia between COVID-19 and other pandemics.
Language	English
Publishing date	2022-02-23
Publishing country	United States
Document type	Journal Article
ZDB-ID	1479928-5
ISSN	1573-7721 ; 1380-7501
ISSN (online)	1573-7721
ISSN	1380-7501
DOI	10.1007/s11042-022-12508-9
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Detection of parasite by fine-needle aspiration cytology on unstained smear.

Rani, Deepa / Gupta, Arsh / Varshney, Anupam / Gupta, Atul / Goyal, Tarang

CytoJournal

2021 Volume 18, Page(s) 25

Language	English
Publishing date	2021-10-02
Publishing country	United States
Document type	Case Reports
ZDB-ID	2158838-7
ISSN	1742-6413 ; 0974-5963
ISSN (online)	1742-6413
ISSN	0974-5963
DOI	10.25259/Cytojournal_52_2020
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Article: Resectable Distal Duodenal Gastrointestinal Stromal Tumour Presenting with Features of Anaemia.

Goyal, Tushar / Dokania, Manoj Kumar / Rana, Anil Singh Kumar / Agarwal, Nitin / Jain, Atul / Sharma, Lalit

Journal of the West African College of Surgeons

2023 Volume 14, Issue 1, Page(s) 113–117

Abstract: Although gastrointestinal stromal tumours (GISTs) are encountered all along the gastrointestinal tract, duodenal GISTs are uncommon and account for <5% of the cases. A 45-year-old woman presented chiefly with anaemia and associated symptoms, whom on ... ...

Abstract	Although gastrointestinal stromal tumours (GISTs) are encountered all along the gastrointestinal tract, duodenal GISTs are uncommon and account for <5% of the cases. A 45-year-old woman presented chiefly with anaemia and associated symptoms, whom on further evaluation was found to have a non-metastatic GIST in the distal duodenum sparing the pancreas and major vasculature. Patient was undertaken for segmental duodenectomy with the help of advanced bipolar energy device (tumour occupying D3-D4 with 1 cm proximal margin and 15 cm jejunum) preserving the pancreas and ampulla with end-to-end duodenojejunostomy with an uneventful postoperative course and clear margins on histopathology. Thus, the patient underwent a less morbid procedure with satisfactory oncological outcome and early resumption of activity. This highlights the need to conduct more trials to gather high level evidence in favour of conservative resection and its oncological adequacy and impact on overall survival and recurrence.
Language	English
Publishing date	2023-12-14
Publishing country	India
Document type	Case Reports
ISSN	2276-6944
ISSN	2276-6944
DOI	10.4103/jwas.jwas_95_23
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Article: Quality of Life in Oral Cancer Patients Following Surgical Excision and Flap Reconstruction.

Bakshi, Jaimanti / Goyal, Atul Kumar / Saini, Jyoti

Journal of maxillofacial and oral surgery

2021 Volume 21, Issue 2, Page(s) 326–331

Abstract: Background: Incidence of oral cancer have been increased aggressively in recent years, and many advanced surgical techniques have developed to facilitate the treatment of disease while preserving the patient's quality of life (QoL).: Subjects and ... ...

Abstract	Background: Incidence of oral cancer have been increased aggressively in recent years, and many advanced surgical techniques have developed to facilitate the treatment of disease while preserving the patient's quality of life (QoL). Subjects and methods: The present study aims toward the evaluation of patient's satisfaction toward the current treatment procedure for oral cancer by assessing the QoL preoperatively and postoperatively. In the study period of four years, we had operated 150 patients with oral cancer (Stage III and IVa) by surgical excision and flap reconstruction, and QoL was assessed using the WHO-QoL BREF questionnaire. Results: We found significant improvement after surgery in various aspects of QoL including the physical health, social health, psychological health and environmental health. Conclusions: The present study is evidence of patient satisfaction toward the current treatment protocols of oral cancer. However, advanced surgical techniques that can enhance the rate of functional rehabilitation can have paramount importance in improving the patient's QoL.
Language	English
Publishing date	2021-01-06
Publishing country	India
Document type	Journal Article
ZDB-ID	2502352-4
ISSN	0974-942X ; 0972-8279
ISSN (online)	0974-942X
ISSN	0972-8279
DOI	10.1007/s12663-020-01499-5
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Article ; Online: Health-related quality of life among Indian population: The EQ-5D population norms for India.

Jyani, Gaurav / Prinja, Shankar / Garg, Basant / Kaur, Manmeet / Grover, Sandeep / Sharma, Atul / Goyal, Aarti

Journal of global health

2023 Volume 13, Page(s) 4018

Abstract: Background: The EuroQol 5 dimensions (EQ-5D) is the most used generic health-related quality of life (HRQoL) instrument for measuring population health and health outcomes. Since there are no EuroQol 5 dimensions 5 levels (EQ-5D-5L) population norms ... ...

Abstract	Background: The EuroQol 5 dimensions (EQ-5D) is the most used generic health-related quality of life (HRQoL) instrument for measuring population health and health outcomes. Since there are no EuroQol 5 dimensions 5 levels (EQ-5D-5L) population norms available for India, this study developed the Indian population norms for the EQ-5D-5L. The potential influencing factors of HRQoL of the Indian population have been identified. Methods: The data was collected alongside the Indian EQ-5D-5L valuation study (Development of an EQ-5D Value Set for India Using an Extended Design: DEVINE Study). A cross-sectional survey of 3548 adult respondents was conducted across five states of India, in which respondents were asked to report their own health states using the EQ-5D-5L descriptive system and the EuroQol Visual Analog Scale (EQ VAS). The utility score was calculated using the EQ-5D-5L value set based on the preferences of the Indian population. Norm scores were generated for age, sex, and other important socio-demographic variables. The proportion of patients reporting problems in different dimensions of EQ-5D-5L was assessed. The impact of socio-economic determinants on health-related quality of life was evaluated using multiple linear regression. Results: The mean EQ VAS score of the Indian population is 75.18 (95% confidence interval (CI) = 74.50-75.90), whereas mean utility score is 0.848 (95% CI = 0.840-0.857). The EQ VAS scores, and utility scores decreased with age. Males reported higher EQ VAS values than females. The highest mean utility score was observed for males of <20 years (0.936), whereas the lowest mean score was observed for females of >70 years (0.488). The mean VAS score ranged between 85.24 for females of <20 years and 50.67 for females of >70 years. Highest problems were reported in the dimension of "pain / discomfort", closely followed by "anxiety / depression". Age, educational qualification, marital status, substance abuse, presence of ailments, state / region of residence, number of dependent members in the household, and time spent on mobile are the significant determinants of HRQoL of Indian population. Conclusions: These population norms will be used as reference values for comparative purposes in future Indian studies. Economic evaluations can use these average age-specific HRQoL population norms to value the health-state of not having the specific disease under investigation.
MeSH term(s)	Adult ; Male ; Female ; Humans ; Quality of Life ; Health Status ; Cross-Sectional Studies ; Pain ; India ; Surveys and Questionnaires
Language	English
Publishing date	2023-02-17
Publishing country	Scotland
Document type	Journal Article
ZDB-ID	2741629-X
ISSN	2047-2986 ; 2047-2986
ISSN (online)	2047-2986
ISSN	2047-2986
DOI	10.7189/jogh.13.04018
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Article: Successful Use of Risperidone, Trihexyphenidyl, and Paroxetine in Pregnancy.

Goyal, Sandeep Kumar / Goel, Atul

Indian journal of psychological medicine

2017 Volume 39, Issue 6, Page(s) 835–836

Language	English
Publishing date	2017-12-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	2622378-8
ISSN	0975-1564 ; 0253-7176
ISSN (online)	0975-1564
ISSN	0253-7176
DOI	10.4103/IJPSYM.IJPSYM_380_17
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Article: A review on tea quality and safety using emerging parameters

Bhargava, Anuja / Bansal, Atul / Goyal, Vishal / Bansal, Pratosh

Journal of food measurement & characterization. 2022 Apr., v. 16, no. 2

2022

Abstract: The world's high-value crop is tea, its aspect plays a powerful role in its marketability. Tea is the utmost extensively absorb aromatic beverage with the legion of health benefit and respond as a remedy for various disease like neurological disorder and ...

Abstract	The world's high-value crop is tea, its aspect plays a powerful role in its marketability. Tea is the utmost extensively absorb aromatic beverage with the legion of health benefit and respond as a remedy for various disease like neurological disorder and cardiovascular. The emerging, spectroscopic and classified approaches for safety and quality assessment determination like electrochemical method, microbial of tea are very effective. These approaches improve the accuracy and sensitivity of the standard and direct technique and increase the speed of the detection process. Also, the approaches are non-destructive, cost-effective, and rapid that provides real-time detection. Application of these approaches in the tea industry from picking, fermentation, sensor evaluation, developing portable devices for real-time safety assessment benefits the tea production mechanism. Recently, colorimetric and chromatography techniques have been reported in several stages of tea processing that are expensive, laborious and inaccurate, and time-consuming. Here, computer vision and deep learning can be explored to overcome inconsistency and inaccuracy. This paper presents an overview of the processing of tea, type of tea, the microbiology of tea, safety & quality evaluation, standard & emerging techniques, and electrochemical detection using separation method, bio electrochemical sensor, and health benefits of tea with distinct tea contaminates. This paper also includes the analytical comparison of distinct approaches proposed by the different researchers for quality analysis of tea and its products. This potential review may guide for evaluation and detection of tea products which further promotes the development of the food industry.
Keywords	beverages ; chromatography ; colorimetry ; computer vision ; cost effectiveness ; electrochemistry ; fermentation ; food industry ; measurement ; microbiology ; nervous system diseases ; safety assessment ; sensors (equipment) ; spectroscopy ; tea
Language	English
Dates of publication	2022-04
Size	p. 1291-1311.
Publishing place	Springer US
Document type	Article
Note	Review
ZDB-ID	2754612-3
ISSN	2193-4134 ; 2193-4126
ISSN (online)	2193-4134
ISSN	2193-4126
DOI	10.1007/s11694-021-01232-x
Database	NAL-Catalogue (AGRICOLA)

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Article: Machine Learning–Based Detection and Sorting of Multiple Vegetables and Fruits

Bhargava, Anuja / Bansal, Atul / Goyal, Vishal

Food analytical methods. 2022 Jan., v. 15, no. 1

2022

Abstract: Vegetable and fruit security plays a crucial role in the Indian economy. In the recent past, it has been noted that vegetables and fruits are affected by different diseases. This leads to the failure of the economy in the agriculture field. The ... ...

Abstract	Vegetable and fruit security plays a crucial role in the Indian economy. In the recent past, it has been noted that vegetables and fruits are affected by different diseases. This leads to the failure of the economy in the agriculture field. The identification of type and grading of vegetables and fruit is onerous due to the heavy production of products. The manual investigation is expensive, laborious, and inconsistent. Thus, an automated machine learning–based algorithm is proposed for the detection of type and quality grading of five different (jalapeno, lemon, sweet potato, cabbage, and tomato) vegetables and four different (apple, avocado, banana, and orange) varieties of fruits. Firstly, images are preprocessed by Gaussian filtering to enhance the quality of the image and removing of noise. Secondly, segmentation of images is done by fuzzy c-means clustering and grab-cut. Then, various features, namely, statistical, color, textural, geometrical, Laws’ texture energy, the histogram of gradients, and discrete wavelet transform, are extracted (114) and selected from feature vector by PCA. The detection of vegetable and fruit types is done by color and geometrical features while all other features are considered for grading. Lastly, LR, SRC, ANN, and SVM are used to make decisions for sorting and grading. The performance of the system has been validated by the k (10) fold cross-validation technique. The proposed algorithm achieves 85.49% (LR), 87.63% (SRC), 92.64% (ANN), and 97.63% (SVM) for detection of type. Also, the system achieves 83.91% (LR), 85.00% (SRC), 89.54% (ANN), and 96.59% (SVM) for grading. The proper feature selection shows the enhanced performance of the system. Among four different classifiers, SVM shows more efficient results that are promising and comparable with the literature.
Keywords	algorithms ; apples ; automation ; avocados ; bananas ; cabbage ; color ; energy ; fruits ; lemons ; sweet potatoes ; texture ; tomatoes ; wavelet
Language	English
Dates of publication	2022-01
Size	p. 228-242.
Publishing place	Springer US
Document type	Article
ZDB-ID	2429656-9
ISSN	1936-976X ; 1936-9751
ISSN (online)	1936-976X
ISSN	1936-9751
DOI	10.1007/s12161-021-02086-1
Database	NAL-Catalogue (AGRICOLA)

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