Recent Progress in Intelligent Wearable Sensors for Health Monitoring and Wound Healing Based on Biofluids

The intelligent wearable sensors promote the transformation of the health care from a traditional hospital-centered model to a personal portable device-centered model. There is an urgent need of real-time, multi-functional, and personalized monitoring of various biochemical target substances and signals based on the intelligent wearable sensors for health monitoring, especially wound healing. Under this background, this review article first reviews the outstanding progress in the development of intelligent, wearable sensors designed for continuous, real-time analysis, and monitoring of sweat, blood, interstitial fluid, tears, wound fluid, etc. Second, this paper reports the advanced status of intelligent wound monitoring sensors designed for wound diagnosis and treatment. The paper highlights some smart sensors to monitor target analytes in various wounds. Finally, this paper makes conservative recommendations regarding future development of intelligent wearable sensors.

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REAL TIME ANALYSIS OF INTELLIGENT HEALTH MONITORING AND HOME AUTOMATION SYSTEM USING IOT

i-manager’s Journal on Embedded Systems ◽

10.26634/jes.7.2.15875 ◽

2019 ◽

Vol 7 (2) ◽

pp. 13

Author(s):

B. BHUVANESWARI ◽

JEEJO ANKITH ◽

G. ASHWIN ◽

KUMAR K. P. KAMALESH ◽

M. ANBHAZHAGAN ◽

...

Keyword(s):

Real Time ◽

Health Monitoring ◽

Automation System ◽

Home Automation ◽

Time Analysis ◽

Real Time Analysis ◽

Home Automation System

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Real-time analysis and interpretation of continuous data from structural health monitoring (SHM) systems

Bulletin of Earthquake Engineering ◽

10.1007/s10518-014-9642-9 ◽

2014 ◽

Vol 13 (3) ◽

pp. 917-934 ◽

Cited By ~ 19

Author(s):

Yavuz Kaya ◽

Erdal Safak

Keyword(s):

Structural Health Monitoring ◽

Real Time ◽

Health Monitoring ◽

Continuous Data ◽

Time Analysis ◽

Structural Health ◽

Real Time Analysis

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Real-time analysis of the kinetics of angiogenesis and vascular permeability in an animal model of wound healing

Burns ◽

10.1016/j.burns.2008.12.012 ◽

2009 ◽

Vol 35 (6) ◽

pp. 811-817 ◽

Cited By ~ 29

Author(s):

Ashkaun Shaterian ◽

Alexandra Borboa ◽

Ritsuko Sawada ◽

Todd Costantini ◽

Bruce Potenza ◽

...

Keyword(s):

Wound Healing ◽

Animal Model ◽

Vascular Permeability ◽

Real Time ◽

Time Analysis ◽

Real Time Analysis ◽

Kinetics Of

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Mobile Cloud-Based Framework for Health Monitoring with Real-Time Analysis Using Machine Learning Algorithms

10.1007/978-981-16-4244-9_14 ◽

2021 ◽

pp. 173-183

Author(s):

Suman Mohanty ◽

Ravi Anand ◽

Ambarish Dutta ◽

Venktesh Kumar ◽

Utsav Kumar ◽

...

Keyword(s):

Machine Learning ◽

Real Time ◽

Health Monitoring ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Mobile Cloud ◽

Time Analysis ◽

Real Time Analysis

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An edge-stream computing infrastructure for real-time analysis of wearable sensors data

Future Generation Computer Systems ◽

10.1016/j.future.2018.10.058 ◽

2019 ◽

Vol 93 ◽

pp. 515-528 ◽

Cited By ~ 20

Author(s):

Luca Greco ◽

Pierluigi Ritrovato ◽

Fatos Xhafa

Keyword(s):

Real Time ◽

Wearable Sensors ◽

Stream Computing ◽

Time Analysis ◽

Real Time Analysis ◽

Computing Infrastructure

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A Novel Runtime Algorithm for the Real-Time Analysis and Detection of Unexpected Changes in a Real-Size SHM Network with a Quasi-Distributed FBG Sensors

Sensors ◽

10.3390/s21082871 ◽

2021 ◽

Vol 21 (8) ◽

pp. 2871

Author(s):

Felipe Isamu H. Sakiyama ◽

Frank Lehmann ◽

Harald Garrecht

Keyword(s):

Structural Health Monitoring ◽

Real Time ◽

Health Monitoring ◽

Data Management System ◽

Time Analysis ◽

Unexpected Events ◽

Analysis Algorithm ◽

Structural Health ◽

Real Time Analysis ◽

Real Size

The ability to track the structural condition of existing structures is one of the main concerns of bridge owners and operators. In the context of bridge maintenance programs, visual inspection predominates nowadays as the primary source of information. Yet, visual inspections alone are insufficient to satisfy the current needs for safety assessment. From this perspective, extensive research on structural health monitoring has been developed in recent decades. However, the transfer rate from laboratory experiments to real-case applications is still unsatisfactory. This paper addresses the main limitations that slow the deployment and the acceptance of real-size structural health monitoring systems (SHM) and presents a novel real-time analysis algorithm based on random variable correlation for condition monitoring. The proposed algorithm was designed to respond automatically to detect unexpected events, such as local structural failure, within a multitude of random dynamic loads. The results are part of a project on SHM, where a high sensor-count monitoring system based on long-gauge fiber Bragg grating sensors (LGFBG) was installed on a prestressed concrete bridge in Neckarsulm, Germany. The authors also present the data management system developed to handle a large amount of data, and demonstrate the results from one of the implemented post-processing methods, the principal component analysis (PCA). The results showed that the deployed SHM system successfully translates the massive raw data into meaningful information. The proposed real-time analysis algorithm delivers a reliable notification system that allows bridge managers to track unexpected events as a basis for decision-making.

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An Image Processing Based Novel Approach to Real-Time Analysis and Diagnosis of Epileptic Seizures using Wearable Sensors

International Journal of Innovations in Engineering and Technology ◽

10.21172/ijiet.81.007 ◽

2017 ◽

Vol 8 (1) ◽

Keyword(s):

Image Processing ◽

Real Time ◽

Wearable Sensors ◽

Epileptic Seizures ◽

Time Analysis ◽

Real Time Analysis ◽

Novel Approach

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An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100092670 ◽

1976 ◽

Vol 34 ◽

pp. 542-543

Author(s):

R.P. Goehner ◽

W.T. Hatfield ◽

Prakash Rao

Keyword(s):

Electron Diffraction ◽

Real Time ◽

Pattern Analysis ◽

Flow Diagram ◽

Hard Copy ◽

Time Analysis ◽

Real Time Analysis ◽

Transmission Electron ◽

One Step ◽

Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

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