scholarly journals Wearable Sensors for Human Movement Monitoring in Biomedical Applications: Case Studies

2015 ◽  
pp. 111-123 ◽  
Author(s):  
Michela Borghetti ◽  
Alessandro Dionisi ◽  
Emilio Sardini ◽  
Mauro Serpelloni
Keyword(s):  
Case Studies ◽  
Biomedical Applications ◽  
Wearable Sensors ◽  
Human Movement ◽  
Movement Monitoring

scholarly journals Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics

2020 ◽  
Vol 17 (10) ◽  
pp. 3554 ◽  
Author(s):  
Harish Chander ◽  
Reuben F. Burch ◽  
Purva Talegaonkar ◽  
David Saucier ◽  
Tony Luczak ◽  
...  
Keyword(s):  
Human Performance ◽  
Wearable Sensors ◽  
Movement Analysis ◽  
Human Movement ◽  
Fall Detection ◽  
Wearable Technology ◽  
Ongoing Research ◽  
Successful Solution ◽  
Nonfatal Injuries ◽  
Movement Monitoring

Wearable sensors are beneficial for continuous health monitoring, movement analysis, rehabilitation, evaluation of human performance, and for fall detection. Wearable stretch sensors are increasingly being used for human movement monitoring. Additionally, falls are one of the leading causes of both fatal and nonfatal injuries in the workplace. The use of wearable technology in the workplace could be a successful solution for human movement monitoring and fall detection, especially for high fall-risk occupations. This paper provides an in-depth review of different wearable stretch sensors and summarizes the need for wearable technology in the field of ergonomics and the current wearable devices used for fall detection. Additionally, the paper proposes the use of soft-robotic-stretch (SRS) sensors for human movement monitoring and fall detection. This paper also recapitulates the findings of a series of five published manuscripts from ongoing research that are published as Parts I to V of “Closing the Wearable Gap” journal articles that discuss the design and development of a foot and ankle wearable device using SRS sensors that can be used for fall detection. The use of SRS sensors in fall detection, its current limitations, and challenges for adoption in human factors and ergonomics are also discussed.

Wearable sensors for foetal movement monitoring in low risk pregnancies

2019 ◽  
pp. 417-456
Author(s):  
Luís M. Borges ◽  
Norberto Barroca ◽  
Fernando J. Velez ◽  
J. Martinez-de-Oliveira ◽  
António S. Lebres
Keyword(s):  
Wearable Sensors ◽  
Low Risk ◽  
Foetal Movement ◽  
Movement Monitoring

scholarly journals Fabrication of Silk Fibroin/Graphene Film with High Electrical Conductivity and Humidity Sensitivity

Polymers ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 1774 ◽  
Author(s):  
Haoran Zhang ◽  
Juntao Zhao ◽  
Tieling Xing ◽  
Shenzhou Lu ◽  
Guoqiang Chen
Keyword(s):  
Mechanical Properties ◽  
Electrical Conductivity ◽  
Silk Fibroin ◽  
Biomedical Applications ◽  
Wearable Sensors ◽  
Graphene Film ◽  
Natural Material ◽  
Casting Method ◽  
Good Biocompatibility ◽  
Minimum Resistance

Silk fibroin (SF) is a natural material with good biocompatibility and excellent mechanical properties, which are complementary to graphene with ultrahigh electrical conductivity. In this study, to maximally combine graphene and silk fibroin, a well-dispersed silk fibroin/graphene suspension was successfully prepared in a simple and effective way. Then we prepared a flexible conductive SF/graphene film with a minimum resistance of 72.1 ± 4.7 Ω/sq by the casting method. It was found that the electrical conductivity of the SF/graphene film was related to the water content of the film, and the variation was more than 200 times. Therefore, it will play an important role in the field of humidity sensors. It also has excellent mechanical properties in both wet and dry states. These unique features make this material a promising future in the fields of biomedical applications, wearable sensors, and implantable internal sensors.

scholarly journals Stretchable Strain Sensors for Human Movement Monitoring

2020 ◽  
Author(s):  
Abhishek Singh Dahiya ◽  
Thierry Gil ◽  
Nadine Azemard ◽  
Jerome Thireau ◽  
Alain Lacampagne ◽  
...  
Keyword(s):  
Human Movement ◽  
Strain Sensors ◽  
Movement Monitoring

scholarly journals The Use of Wearable Sensors in Human Movement Analysis in Non-Swimming Aquatic Activities: A Systematic Review

2019 ◽  
Vol 16 (24) ◽  
pp. 5067
Author(s):  
Daniel A. Marinho ◽  
Henrique P. Neiva ◽  
Jorge E. Morais
Keyword(s):  
Systematic Review ◽  
Aquatic Environment ◽  
Web Of Science ◽  
Inertial Sensors ◽  
State Of The Art ◽  
Wearable Sensors ◽  
Movement Analysis ◽  
Human Movement ◽  
Dry Land ◽  
Swimming Kinematics

The use of smart technology, specifically inertial sensors (accelerometers, gyroscopes, and magnetometers), to analyze swimming kinematics is being reported in the literature. However, little is known about the usage/application of such sensors in other human aquatic exercises. As the sensors are getting smaller, less expensive, and simple to deal with (regarding data acquisition), one might consider that its application to a broader range of exercises should be a reality. The aim of this systematic review was to update the state of the art about the framework related to the use of sensors assessing human movement in an aquatic environment, besides swimming. The following databases were used: IEEE Xplore, Pubmed, Science Direct, Scopus, and Web of Science. Five articles published in indexed journals, aiming to assess human exercises/movements in the aquatic environment were reviewed. The data from the five articles was categorized and summarized based on the aim, purpose, participants, sensor’s specifications, body area and variables analyzed, and data analysis and statistics. The analyzed studies aimed to compare the movement/exercise kinematics between environments (i.e., dry land versus aquatic), and in some cases compared healthy to pathological participants. The use of sensors in a rehabilitation/hydrotherapy perspective may provide major advantages for therapists.

Wireless-based Monitoring of Body Movements Using Wearable Sensors

2006 ◽  
Vol 920 ◽  
Author(s):  
Sarah Brady ◽  
Shirley Coyle ◽  
Yanzhe Wu ◽  
Gordon Wallace ◽  
Dermot Diamond
Keyword(s):  
Biomedical Applications ◽  
Wearable Sensors ◽  
Pressure Sensors ◽  
Wearable Computing ◽  
Health Indicators ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Molecular Nature

AbstractThe world is becoming more health conscious and as a result healthcare is evolving in many ways. Wearable computing is assisting with this evolution, finding its place in many biomedical applications where real-time monitoring of general health indicators is required. However, the inconvenience of connecting sensors through wires, which not only incurs high maintenance, limits the freedom of the person therefore hampering a true reflection of the person's actions. By using sensors attached to wireless sensor nodes, this constraint is removed. Also in order to be “wearable” the sensors must be comfortable, a factor often overlooked by traditional sensors, where functionality and robustness are of higher importance. This work is focused on the use of foam-based pressure sensors and similar textile-based sensors for monitoring the ambulatory movements of the wearer. Characterization of the molecular nature of the materials and their environment are presented. We find these sensors to be successful in detecting the movement events without imposing on the daily activity of the wearer.

scholarly journals The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility

2015 ◽  
Vol 22 (6) ◽  
pp. 1120-1125 ◽  
Author(s):  
Joy P Ku ◽  
Jennifer L Hicks ◽  
Trevor Hastie ◽  
Jure Leskovec ◽  
Christopher Ré ◽  
...  
Keyword(s):  
Data Science ◽  
Human Mobility ◽  
Wearable Sensors ◽  
Human Movement ◽  
Science Research ◽  
Science Methods ◽  
Social Modeling ◽  
Mobility Data ◽  
Using Data ◽  
And Training

Abstract Regular physical activity helps prevent heart disease, stroke, diabetes, and other chronic diseases, yet a broad range of conditions impair mobility at great personal and societal cost. Vast amounts of data characterizing human movement are available from research labs, clinics, and millions of smartphones and wearable sensors, but integration and analysis of this large quantity of mobility data are extremely challenging. The authors have established the Mobilize Center ( http://mobilize.stanford.edu ) to harness these data to improve human mobility and help lay the foundation for using data science methods in biomedicine. The Center is organized around 4 data science research cores: biomechanical modeling, statistical learning, behavioral and social modeling, and integrative modeling. Important biomedical applications, such as osteoarthritis and weight management, will focus the development of new data science methods. By developing these new approaches, sharing data and validated software tools, and training thousands of researchers, the Mobilize Center will transform human movement research.

Monitoring Human Movement with Body-Fixed Sensors and its Clinical Applications

2011 ◽  
pp. 101-138 ◽  
Author(s):  
Kamiar Aminian
Keyword(s):  
Information Technology ◽  
Pain Management ◽  
New Technologies ◽  
Body Movement ◽  
Human Movement ◽  
Clinical Applications ◽  
Actual Condition ◽  
Intelligent Computing ◽  
The Subject ◽  
Movement Monitoring

In this chapter, first we outline the advantage of new technologies based on body-fixed sensors and particularly the possibility to perform field measurement, out of a laboratory and during the actual condition of the subject. The relevance of intelligent computing and its potential to enhance those features hidden in biomechanical signals are reviewed. An emphasis is made to show the results produced by these sensors when used alone and new possibilities offered when the information from different type of body fixed sensors are fused. In the second part, the relevance of body fixed sensors in medicine is presented by providing many clinical applications in orthopedics, Parkinson disease, physiology, pain management, and aging. Finally the chapter ends by emphasizing the potential of synergies between body fixed movement monitoring and other areas such as information technology which lead to the development of wearable body movement monitoring.

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