Dipali Bansal

• Manav Rachna International Institute of Research and Studies

Information processing has become ubiquitous. The process of deriving speech from transcription is known as automatic speech recognition systems. In recent days, most of the real-time applications such as home computer systems, mobile telephones, and various public and private telephony services have been deployed with automatic speech recognition...

Heuristic algorithms play a significant role in synthesize and optimization of digital circuits based on reversible logic yet suffer with multiple disadvantages for multiqubit functions like scalability, run time and memory space. Synthesis of reversible logic circuit ends up with trade off between number of gates, quantum cost, ancillary inputs an...

Low power design is most challenging in this era of IC technology and shaken the Moore’s law. Various techniques have been invented for low power design and researchers are taking lot of pain to investigate new steps and methods to achieve low power goal. Reversible logic is seeking attention from last one decade and can be employed to balance betw...

Now a days, Electroencephalography (EEG) is popular to monitor human’s cognitive workload. EEG signals are delicate to the variation in cognitive load in various fields including observing cognitive workload for the intricate environment of military chores. Earlier to acquire the EEG signals high-cost EEG systems were used which bounds their use bu...

A very small amplitude (μV) of the electroencephalography (EEG) signal is infected by diverse artifacts. These artifacts have an effect on the distinctiveness of the signal because of which medical psychoanalysis and data retrieval is difficult. Therefore, EEG signals are initially preprocessed to eliminate the artifacts to produce signals that can...

Speech is the primary means through which human beings interact. Speech has become a way for Man Machine Interaction (MMI). The Speech Recognition (SR) systems have been widely used in smart phones to initiate searches or to type certain text messages, and in control devices to perform switch on or off functions etc. This system comprises three blo...

The birth to IC technology by Moore became driving force behind civilization and it spent almost 45 years successfully without any scruple in mind. It affected life of a mankind and brought pivotal moment in civilization. Now technology is hitting atomic levels and soon limits will be touched. Therefore time has come to rethink for an alternative s...

In order to make fast communication between human and machine, speech recognition system are used. Number of speech recognition systems have been developed by various researchers. For example speech recognition, speaker verification and speaker recognition. The basic stages of speech recognition system are pre-processing, feature extraction and fea...

A progressive rise in the daily usage and dependency over electronic gadgets has been witnessed across the world since a decade. Most of the electronic gadgets involve the direct exposure to extremely harmful levels of highly dangerous electromagnetic radiations (EM). The chronic exposure of these EM radiations may adversely affect the human health...

Selection and implementation of optimal order digital filter for denoising ECG signal on FPGA, based on Signal to Noise Ratio (SNR), error and accuracy using wavelet toolbox is a tedious task. To overcome this problem, an attempt has been made in MATLAB to obtain a noise-free ECG signal based on SNR and mean square error to select optimal order dig...

An exponential growth has been witnessed in physiological signal-based external device control systems. The development of brain-computer interfaces utilizing spectral features of acquired EEG signals is gaining importance these days. The processes and algorithms involved in cognitive analysis of acquired single eyeblink-related brain activity in f...

Cognitive neuroscience is being widely explored to develop more interactive brain computer interfaces for control applications. An attempt has been made to translate a cognitive activity (deliberate eye blink) of human subjects captured via electroencephalography (EEG) into action. Channel power spectral and the highest peak related features have b...

Optimal Speech feature extraction which tries to acquire a parametric illustration of an input speech signal plays a vital role in the overall performance of an Automatic Speech Recognition (ASR) system. A good feature extraction technique along with feature selection algorithm should capture the important features of the signal and also should rej...

There is a tremendous growth in fabrication from small scale integration (SSI) to giant scaleintegration (GSI). It however raises a question of sustainability of Moore's law due to almost intolerablelevels of power consumption. Researchers have invented a lot of methods to reduce power consumptionand recent technologies are switching to reversible...

The capacity of a device or a program to listen, identify various sounds is referred as Speech recognition and recognize some known languages from the spoken words and for human machine interface the Automatic Speech Recognition (ASR) system is helpful. In recent periods, for the ASR system, lot of research works has been developed but the concerns...

Emotional state of the speaker in an Automatic speech recognition system is very crucial as it may affect the output of the system. Speech Recognition Systems have applications in smart phones, control devices, robotics, video games, health care, grocery shops, etc. to dictate messages or initiate searches. They are also useful for people with limi...

Reversible logic has various applications in fields of computer graphics, optical information processing, quantum computing, DNA computing, ultra low power CMOS design and communication. As our day to day life is demanding more and more portable electronic devices, challenging focus on technology is demanding great system performance without any co...

BCI technology, immensely used in the field of neuro-prosthetic control, permits neural activity alone to control external devices. However, such systems mostly suffer from induced latency owing to complex interfacing in their design, thereby compromising on vital real-time aspect. In this paper, ocular motory movements-based BCI system capable of...

In this paper, a wireless network-based secured bidirectional remote monitoring system for analysis of online live EEG feed has been proposed. The technique makes use of a custom developed application programming interface plug-in to acquire live EEG feed directly in MATLAB on a host machine so as to build an On-Premise set-up for acquisition and p...

Acoustic-based inspection methods, employed for on field screening of containers, hold high importance in the fields of security and defence. However, such methods are limited by expensive instrumentation, offline analysis and complexities related to transducer container physical coupling. Simple, non-destructive and extremely cost effective method...

This paper attempts to bring the concept of a Biogas Power Plant in ones backyard a reality. An analysis of feasible anaerobic systems; Single stage, two stage and BTA style multistage systems have been compared with the objective of reducing the total volume of space occupied by biogas reactors. Although people in various countries across the glob...

Abstract: Fuzzy Inference System was designed to select the combination of feedstock that would provide over 55% methane yield in an anaerobic biogas digester at the same time maintaining neutral pH in it. This area was left untouched by fuzzy system experts in spite of the great importance it holds in determining the retention time of feedstock in...

Accurate non-invasive Electrocardiogram (ECG) analysis has a significant emerging role in automated cardiac state diagnosis. Conventional ECG analysis techniques such as linear and second-order spectra fail to retain Fourier phase relationship and suppress random variations in non-linear, nonstationary and non-Gaussian ECG signals. This may provide...

Development of affective Brain-Computer Interfaces (BCIs) via Electroencephalogram (EEG) has emerged as a cynosure of research in early diagnosis and effective management of depression. However, conventional BCIs are still lacking in terms of high computational complexity, less accuracy due to Fourier phase suppression and lack of substantial concl...

There has been a tremendous growth in the field of neural controlled robotic systems having utility limited not only to physically challenged but also for improving performance of healthy users. In this work, real-time EEG signal is acquired for deliberate eye blink action in MATLAB and Independent Component Analysis decomposition is done and corre...

Around the globe many deaths are being reported every year due to poor health monitoring system in rural areas and un-affordability by the people in the semi-rural areas. However, the evolution of bio-signal processing techniques which is a computer-based, compact, non-invasive and battery powered bio-signal monitoring solution can be reached to ad...

Non-invasive Brain Computer Interface like Electroencephalography (EEG) which directly taps neurological signals, is being widely explored these days to connect paralytic patients/elderly with the external environment. However, in India the research is confined to laboratory settings and is not reaching the mass for rehabilitation purposes. An atte...

This paper proposes reliability testing of a novel method developed for acquisition and analysis of acoustic patterns generated by fluids based on spectral analysis techniques that finds a lot of relevance in various fields especially in the field of defence. Existing techniques have various drawbacks that include limitations with acquisition of we...

Electrocardiogram (ECG) is a primary clinical diagnostic tool for detection of cardiac arrhythmias. As ECG signals are generally acquired over longer time periods at extremely high resolution and thus are highly data intensive. This leads to the requirement of large storage space for database construction and more transmission bandwidth for remote...

Electrocardiogram ECG signal is usually corrupted by several artifacts and these must be removed before diagnosis. This paper therefore presents the design of various FIR filters like Kaiser, Rectangular, Hamming, Hanning, Gaussian and Bartllet window techniques and FIR Equiripple Filter. IIR filters like Butterworth, Chebychev I & II and Elliptic...

Measurement and analysis of Heart Rate Variability (HRV) is progressively gaining attention as it enables a clinical and non-invasive system to assess human physiology. QRS complex of an ECG forms the basis of HRV, but literature also establishes its relation with carotid artery pulsation. HRV analysis is either simulated or done offline using ECG...

Electrocardiogram (ECG) plays an important role in diagnostics of cardiac diseases. In general, ECG signals are affected by noises during data acquisition. For accurate treatment, doctors need noise-free ECG signals. This paper presents a detailed analysis of algorithms for denoising ECG signals using different IIR filters like Butterworth filter,...

Commercially available EEG acquisition units provide ability to acquire and view EEG signals in real time using their proprietary user interface software. Analysis of such EEG data is limited to the capabilities provided within these acquisition units, thereby making it necessary to process data in multi-paradigm computing environment. Offline uplo...

The ability of EEG signals to portray thoughts, feelings and unspoken words is being widely explored these days and has become a potential area of research. This is based upon the fact that electrical impulse is generated when a precise word is thought at the brain even before it reaches the vocal cords. These unspoken speech impulses can be analyz...

Technological evolution in bio-signal processing has enabled computer-based analysis of ECG which is an adjunct to the doctor in terms of feature extraction and diagnosis. However, acquisition and reliable parameter extraction of ECG signals using a computer based system is extremely susceptible to power line interference. 50 Hz active analogue not...

Electrocardiogram (ECG) signal analysis is an established clinical tool for the cardiac state diagnosis. Being a physiological signal, ECG is non-linear, non-stationary and non-Gaussian in nature. Most of the ECG signal analysis tools such as linear and power spectrum estimation ignore random variations and the Fourier phase relationship among sign...

ECG is the graphical recording of the electrical activity of the heart and recognized biological signal used for clinical diagnosis. The ECG signal is very sensitive in nature, and even if small noise mixed with original signal the various characteristics of the signal changes. The signal voltage level is as low as 0.5 to 5mV and is susceptible to...

The purpose of this paper is to understand the prospective of piezoelectric sensors in biomedical sciences to measure and analyze multiple human physiological parameters as most of the human vital sign information is non electrical, quasi-periodic and very low in amplitude, thus posing problems in detection and analysis. This paper presents a broad...

The paper represents work on the challenge of real time, non-invasive simultaneous acquisition and wireless transmission of human physiological parameters using easy and cost effective approach. Electromyograph (EMG) signal detection and analysis is utilized in various clinical and biomedical applications including generation of control signal for...

Carotid pulse is an established physiological parameter used to deduce cardiac information. Technological advances allow non-invasive measurement of carotid waveform, but involve complex electronics. Simple and relatively inexpensive method is devised here to acquire the carotid pulse. Measurements were made non-invasively on human subjects in vari...

Real time embedded systems created using digital signal processors have a significant progressive role in processing of multi-parametric bio-signals. The decreasing cost of this technology has resulted in its commercial availability and provides high speed, accuracy, noise immunity, low power consumption, programmability and size reduction. The ana...

Various ECG instruments have addressed a wide variety of clinical and technical issues. However, there is still scope for improvement in them particularly in the area of their susceptibility to noise, lack of universal connectivity and off-line processing. A prototype system has been developed that caters to these limitations. It includes an analog...

Recently statistical reasoning and methods like Six Sigma are finding increased application in healthcare studies. Six Sigma is a highly disciplined approach to decision making that helps focus on improving processes to make them as near perfect as possible. This is highly desirable in an environment where mistakes can cost lives. However, this is...

A case of an 11‐year‐old boy with rapidly progressing quadriparesis with bowel and bladder incontinence is reported. MRI of the spine revealed an intramedullary tuberculoma at the level of C5–7. Investigations further revealed evidence of tuberculosis in the brain and lungs as well. The child made a rapid recovery with medical management alone.