scholarly journals Reliability of Electrocardiogram Signals during Feature Extraction Stage for Smart Textile Shirts

2021 ◽  
Vol 2071 (1) ◽  
pp. 012043
Author(s):  
MM Mohd Nawawi ◽  
Khairul Azami Sidek ◽  
Amelia Wong Azman ◽  
Fazli Mohd Nasir Nashrul
Keyword(s):  
Feature Extraction ◽  
Promising Result ◽  
Real Life ◽  
Daily Routine ◽  
Clinical Environment ◽  
Smart Textiles ◽  
Smart Textile ◽  
Main Challenge ◽  
Ecg Morphology ◽  
Ecg Data

Abstract Wearable smart textiles have garnered significant interest due to their high flexibility, reusability, convenience and ability to work on home-based, real-life and real-time monitoring. Wearable smart textiles are shirts with inbuilt textile sensors that enable electrocardiogram (ECG) data to be collected more comfortably and smoothly outside the laboratory and clinical environment for a continuous and longer duration for ECG data collection. However, the existing ECG wearable smart textile main challenge is maintaining the quality and reliability of data across multiple wearable smart textile shirts. Therefore, this research analyses the capability of ECG morphology during Feature Extraction stages for different wearable smart textile shirts. This paper reports the experiment conducted on eleven healthy volunteers, either wearing the Hexoskin smart shirt or the HeartIn Fit shirt or both. ECG data were recorded while they are doing normal daily routine activities for at least 45 minutes. The study demonstrates a significant possibility of reliability in Feature Extraction stages at different time instances among subject and wearable smart textiles shirts. With R peaks average between 0.543 to 1.194 mV and R-R interval average between 0.625 to 0.799 seconds, the study concludes that both wearable smart textiles do not significantly differ in Feature Extraction stages. Thus, both wearable smart textiles gave a significant result, although both are affected by their wearer’s motion artefacts during the shifting of body postures and the wearer’s body physical states. Furthermore, the ECG morphology in this study has yielded a promising result in real life and as on-the-go ECG smart textile biometric readiness for future explorations.

scholarly journals A Fiber Vibration Signal Identification Method Based on the Combination of EWT-FE and LSTM

2021 ◽  
Vol 2112 (1) ◽  
pp. 012020
Author(s):  
Xin Zhang ◽  
Qingmo Ja ◽  
SaiSai Ruan ◽  
Qin Hu
Keyword(s):  
Feature Extraction ◽  
Recognition Rate ◽  
Real Life ◽  
Vibration Signal ◽  
Machine Learning Algorithms ◽  
Signal Identification ◽  
Feature Vectors ◽  
Identification Method ◽  
Effective Manner ◽  
Empirical Wavelet Transform

Abstract As the optical fiber perimeter security system is widely used in real life, how to identify the types of intrusion events in a timely and effective manner is becoming a major research hotspot. At present, in this field, various signal feature extraction algorithms are usually used to extract intrusion signal features to form feature vectors, and then machine learning algorithms are used to classify the feature vectors to achieve the role of identifying the types of intrusion events. As a common signal feature extraction algorithm, the EMD algorithm has been widely used in the feature extraction of various vibration signals, but it will have the problem of modal aliasing and affect the feature extraction effect of the signal. Therefore, EWT, VMD and other algorithms have been successively used proposed to improve modal aliasing. On the basis of fully comparing the existing algorithms, this paper proposes a fiber vibration signal identification method that decomposes the signal through the empirical wavelet transform (EWT) algorithm and then extracts the fuzzy entropy (FE) of each component, and uses LSTM for classification. The final experiment shows that the method can identify four kinds of fiber intrusion signals in time and effectively, with an average recognition accuracy rate of 97.87%, especially for flap and knock recognition rate of 100%.

Biofeedback

2016 ◽  
Vol 4 (1) ◽  
pp. 57-63 ◽  
Author(s):  
Paul Lehrer
Keyword(s):  
Phase Ii ◽  
Real Life ◽  
Phase Iii ◽  
Controlled Trials ◽  
Clinical Environment ◽  
Phase Ii Trials ◽  
Research Support ◽  
Phase Iii Trials ◽  
Psychosomatic Problems ◽  
Biofeedback Research

Although evidence supports the efficacy of biofeedback for treating a number of disorders and for enhancing performance, significant barriers block both needed research and payer support for this method. Biofeedback has demonstrated effects in changing psychophysiological substrates of various emotional, physical, and psychosomatic problems, but payers are reluctant to reimburse for biofeedback services. A considerable amount of biofeedback research is in the form of relatively small well-controlled trials (Phase II trials). This article argues for greater payer support and research support for larger trials in the “real life” clinical environment (Phase III trials) and meta-analytic reviews.

Wearable Kinesthetic System for Joint Knee Flexion-Extension Monitoring In Gait Analysis

2011 ◽  
pp. 792-800
Author(s):  
Mario Tesconi ◽  
Enzo Pasquale Scilingo ◽  
Pierluigi Barba ◽  
Danilo De Rossi
Keyword(s):  
Gait Analysis ◽  
Subjective Experience ◽  
Neuromuscular Diseases ◽  
Medical Personnel ◽  
Quantitative Information ◽  
Point Of View ◽  
Clinical Environment ◽  
Patient Status ◽  
Main Challenge ◽  
Movement Ability

Posture and motion of body segments are the result of a mutual interaction of several physiological systems such as nervous, muscle-skeletal, and sensorial. Patients who suffer from neuromuscular diseases have great difficulties in moving and walking, therefore motion or gait analysis are widely considered matter of investigation by the clinicians for diagnostic purposes. By means of specific performance tests, it could be possible to identify the severity of a neuromuscular pathology and outline possible rehabilitation planes. The main challenge is to quantify a motion anomaly, rather than to identify it during the test. At first, visual inspection of a video showing motion or walking activity is the simplest mode of examining movement ability in the clinical environment. It allows us to collect qualitative and bidimensional data, but it does not provide neither quantitative information about motion performance modalities (for instance about dynamics and muscle activity), nor about its changes. Moreover, the interpretation of recorded motion pattern is demanded to medical personnel who make a diagnosis on the basis of subjective experience and expertise. A considerable improvement in this analysis is given by a technical contribution to quantitatively analyse body posture and gesture. Advanced technologies allow us to investigate on anatomic segments from biomechanics and kinematics point of view, providing a wide set of quantitative variables to be used in multi-factorial motion analysis. A personal computer enables a realtime 3D reconstruction of motion and digitalizes data for storage and off-line elaboration. For this reason, the clinicians have a detailed description of the patient status and they can choose a specific rehabilitation path and verify the subject progress.

Wearable Kinesthetic System for Joint Knee Flexion-Extension Monitoring In Gait Analysis

2008 ◽  
pp. 1390-1397
Author(s):  
Mario Tesconi ◽  
Enzo Pasquale Scilingo ◽  
Pierluigi Barba ◽  
Danilo De Rossi
Keyword(s):  
Gait Analysis ◽  
Subjective Experience ◽  
Neuromuscular Diseases ◽  
Medical Personnel ◽  
Quantitative Information ◽  
Point Of View ◽  
Clinical Environment ◽  
Patient Status ◽  
Main Challenge ◽  
Movement Ability

Posture and motion of body segments are the result of a mutual interaction of several physiological systems such as nervous, muscle-skeletal, and sensorial. Patients who suffer from neuromuscular diseases have great difficulties in moving and walking, therefore motion or gait analysis are widely considered matter of investigation by the clinicians for diagnostic purposes. By means of specific performance tests, it could be possible to identify the severity of a neuromuscular pathology and outline possible rehabilitation planes. The main challenge is to quantify a motion anomaly, rather than to identify it during the test. At first, visual inspection of a video showing motion or walking activity is the simplest mode of examining movement ability in the clinical environment. It allows us to collect qualitative and bidimensional data, but it does not provide neither quantitative information about motion performance modalities (for instance about dynamics and muscle activity), nor about its changes. Moreover, the interpretation of recorded motion pattern is demanded to medical personnel who make a diagnosis on the basis of subjective experience and expertise. A considerable improvement in this analysis is given by a technical contribution to quantitatively analyse body posture and gesture. Advanced technologies allow us to investigate on anatomic segments from biomechanics and kinematics point of view, providing a wide set of quantitative variables to be used in multi-factorial motion analysis. A personal computer enables a realtime 3D reconstruction of motion and digitalizes data for storage and off-line elaboration. For this reason, the clinicians have a detailed description of the patient status and they can choose a specific rehabilitation path and verify the subject progress.

Advanced Applications on Bilingual Document Analysis and Processing Systems

2020 ◽  
Vol 11 (4) ◽  
pp. 149-193
Author(s):  
Shalini Puri ◽  
Satya Prakash Singh
Keyword(s):  
Feature Extraction ◽  
Real Life ◽  
Document Analysis ◽  
Document Classification ◽  
Classification Systems ◽  
Post Processing ◽  
Extraction Techniques ◽  
Dual Class ◽  
Advanced Applications ◽  
Real World Problems

Today, rapid digitization requires efficient bilingual non-image and image document classification systems. Although many bilingual NLP and image-based systems provide solutions for real-world problems, they primarily focus on text extraction, identification, and recognition tasks with limited document types. This article discusses a journey of these systems and provides an overview of their methods, feature extraction techniques, document sets, classifiers, and accuracy for English-Hindi and other language pairs. The gaps found lead toward the idea of a generic and integrated bilingual English-Hindi document classification system, which classifies heterogeneous documents using a dual class feeder and two character corpora. Its non-image and image modules include pre- and post-processing stages and pre-and post-segmentation stages to classify documents into predefined classes. This article discusses many real-life applications on societal and commercial issues. The analytical results show important findings of existing and proposed systems.

Attribute Reduction Based on Continuous Attribute Domain

2014 ◽  
Vol 1044-1045 ◽  
pp. 1084-1087
Author(s):  
Yi Zhang
Keyword(s):  
Feature Extraction ◽  
Attribute Reduction ◽  
Real Life ◽  
Discrete Data ◽  
General Algorithm ◽  
Continuous Data ◽  
Brain Waves ◽  
Continuous Eeg ◽  
Continuous Attribute

Discrete data attributes reduction, there are many mature methods, but for continuous data attributes reduction, general algorithm is not very good, in real life, the continuous data feature extraction and discrete data is also important, based on the number of new brain waves as analysis object, and through the continuous eeg feature extraction comparison, verify the feasibility of the proposed method.

Supporting the Ideation Process and Representation of the Design of a Product as Part of a Real Life Use Process

2012 ◽  
Author(s):  
Eliab Z. Opiyo
Keyword(s):  
Development Process ◽  
Low Cost ◽  
Real Life ◽  
Product Development Process ◽  
Design Stage ◽  
Effective Solution ◽  
Early Design Stage ◽  
The Past ◽  
Detail Design ◽  
Main Challenge

Numerous virtual and physical prototyping techniques have been developed in the past decades. These techniques are typically used for prototyping of products in the embodiment and detail design phases of the product development process, without taking into consideration the processes associated with products. These processes include sub-processes related to the operation of the products, interactivity of the product developer or the user with the product, and thinking and manipulative control of humans. The main challenge addressed in this paper is how to conceptualize and communicate ideas about products together with all accompanying processes. We have developed a new concept of abstract prototyping (AP), with the intent to enable the ideation and representation of products or systems as real life processes. In this paper, we present application case studies to demonstrate the applicability of this new concept of abstract prototyping. The preliminary results show that this is indeed the case and prove that process-focused abstract prototyping can be a useful new enabler for design communication. One of the major benefits of the proposed method over the competing approaches such as the application of VR solutions is that it provides a low-cost, but yet effective solution for the challenge of taking into consideration how the product will be used in user’s context or scenario at the very early design stage.

Electronics in Textiles – Adhesive Bonding Technology for Reliably Embedding Electronic Modules into Textile Circuits

2012 ◽  
Vol 85 ◽  
pp. 1-10 ◽  
Author(s):  
Malte von Krshiwoblozki ◽  
Torsten Linz ◽  
Andreas Neudeck ◽  
Christine Kallmayer
Keyword(s):  
Adhesive Bonding ◽  
Conductive Adhesive ◽  
Mechanical Contact ◽  
Smart Textiles ◽  
Contact Formation ◽  
Main Challenge ◽  
Bonding Technology

The interconnection of electronics and textile circuits is still a main challenge for the fabrication of reliable smart textiles. This paper investigates the thermoplastic adhesive bonding technology. Electronic modules are bonded to textile substrates with a thermoplastic non-conductive adhesive (NCA) film. The modules are placed onto textile circuits with an NCA-film in-between. By applying pressure and heat, the adhesive melts and contact partners touch. Subsequently cooling solidifies the NCA resulting in an electrical and mechanical contact of the electronic module and the textile circuit. This paper shows the suitability of this technology for knitted, woven, non-woven and embroidered fabrics with metal coated yarns as well as with litz-wires as conductors. Besides, it shows that the interconnection process works well with thermoplastically insulated conductors. In addition, the design of interposers has been improved in respect to contact formation and miniaturization compared to previous publications. The pitch of the contact pads is set to 1.27 mm. A textile display was realized with smart RGB-Pixels, which are controlled by an I²C-bus on a quadrupolic woven substrate. It demonstrates the applicability and the potential of this technology.

scholarly journals UTILIZING SMART TEXTILES IN INTERIOR DESIGN TO REPLACE CONVENTIONAL ARCHITECTURAL FINISHES

2019 ◽  
Vol 2019 ◽  
pp. 105-109
Author(s):  
AMNA KHALID QURESHI
Keyword(s):  
Interior Design ◽  
Cost Effective ◽  
Indoor Climate ◽  
Smart Textiles ◽  
Textile Materials ◽  
Design Concepts ◽  
Competitive Price ◽  
Smart Textile ◽  
Fabric Structures ◽  
Present World

Many architects and designers coincide that fabric structures have an imperative role to play in creating an ecofriendly future. In recent years, the use of smart textiles has been particularly popular in the construction practices. These are hailed as environmentally friendly, deliberated as architecturally aesthetic and are usually cost effective. There is a growing demand for hybrid textile materials that combine strength and functionality in a lightweight product at a competitive price. These materials are developed with advanced technical interventions. This paper aims to conceptualize the idea of using smart textiles in the interior architecture to ensure sustainability by replacing the conventional architectural finishes. The use of smart textiles that fetches the possibilities offered by both textile and interior design in the present world has been highlighted with examples. Studies illustrate that the use of smart textile materials have several benefits in the built environment in terms of weight, transparency, adaptability, indoor climate, atmosphere and acoustics. Examples are taken from the superlative case studies from all across the world. The research combines the versatile information and explores the diversity of smart textiles, presenting a framework of future prospects for the utilization of the materials in the modern interior design concepts.

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