Highly stretchable, conductive and long‐term stable PEDOT: PSS fibers with surface arrays for wearable sensors

2021 ◽  
Author(s):  
Qiang Gao ◽  
Yuhang Wang ◽  
Peng Wang ◽  
Ming Shen ◽  
Tangsuo Li ◽  
...  
Keyword(s):  
Wearable Sensors ◽  
Highly Stretchable

scholarly journals Challenges in Design and Fabrication of Flexible/Stretchable Carbon- and Textile-Based Wearable Sensors for Health Monitoring: A Critical Review

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3927 ◽  
Author(s):  
Jae Sang Heo ◽  
Md Faruk Hossain ◽  
Insoo Kim
Keyword(s):  
Mechanical Properties ◽  
Human Activity ◽  
Health Monitoring ◽  
Critical Review ◽  
Wearable Sensors ◽  
Functional Materials ◽  
Effective Strategies ◽  
Mechanical Performances ◽  
Carbon Based

To demonstrate the wearable flexible/stretchable health-monitoring sensor, it is necessary to develop advanced functional materials and fabrication technologies. Among the various developed materials and fabrication processes for wearable sensors, carbon-based materials and textile-based configurations are considered as promising approaches due to their outstanding characteristics such as high conductivity, lightweight, high mechanical properties, wearability, and biocompatibility. Despite these advantages, in order to realize practical wearable applications, electrical and mechanical performances such as sensitivity, stability, and long-term use are still not satisfied. Accordingly, in this review, we describe recent advances in process technologies to fabricate advanced carbon-based materials and textile-based sensors, followed by their applications such as human activity and electrophysiological sensors. Furthermore, we discuss the remaining challenges for both carbon- and textile-based wearable sensors and then suggest effective strategies to realize the wearable sensors in health monitoring.

scholarly journals Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Pablo Maceira-Elvira ◽  
Traian Popa ◽  
Anne-Christine Schmid ◽  
Friedhelm C. Hummel
Keyword(s):  
Stroke Rehabilitation ◽  
Wearable Sensors ◽  
Motor Impairment ◽  
Wearable Technology ◽  
Future Studies ◽  
Detailed Evaluation ◽  
Challenges And Opportunities ◽  
Clinical Environments ◽  
Data Acquisition And Processing

AbstractStroke is one of the main causes of long-term disability worldwide, placing a large burden on individuals and society. Rehabilitation after stroke consists of an iterative process involving assessments and specialized training, aspects often constrained by limited resources of healthcare centers. Wearable technology has the potential to objectively assess and monitor patients inside and outside clinical environments, enabling a more detailed evaluation of the impairment and allowing the individualization of rehabilitation therapies. The present review aims to provide an overview of wearable sensors used in stroke rehabilitation research, with a particular focus on the upper extremity. We summarize results obtained by current research using a variety of wearable sensors and use them to critically discuss challenges and opportunities in the ongoing effort towards reliable and accessible tools for stroke rehabilitation. Finally, suggestions concerning data acquisition and processing to guide future studies performed by clinicians and engineers alike are provided.

scholarly journals Body-monitoring with photonic textiles: a reflective heartbeat sensor based on polymer optical fibres

2017 ◽  
Vol 14 (128) ◽  
pp. 20170060 ◽  
Author(s):  
Brit M. Quandt ◽  
Fabian Braun ◽  
Damien Ferrario ◽  
René M. Rossi ◽  
Anke Scheel-Sailer ◽  
...  
Keyword(s):  
Pressure Ulcer ◽  
Wearable Sensors ◽  
Skin Condition ◽  
Optical Fibres ◽  
Sensitive Skin ◽  
Additional Risk ◽  
Skin Conditions ◽  
Static Coefficient Of Friction

Knowledge of an individual's skin condition is important for pressure ulcer prevention. Detecting early changes in skin through perfusion, oxygen saturation values, and pressure on tissue and subsequent therapeutic intervention could increase patients' quality of life drastically. However, most existing sensing options create additional risk of ulcer development due to further pressure on and chafing of the skin. Here, as a first component, we present a flexible, photonic textile-based sensor for the continuous monitoring of the heartbeat and blood flow. Polymer optical fibres (POFs) are melt-spun continuously and characterized optically and mechanically before being embroidered. The resulting sensor shows flexibility when embroidered into a moisture-wicking fabric, and withstands disinfection with hospital-type laundry cycles. Additionally, the new sensor textile shows a lower static coefficient of friction (COF) than conventionally used bedsheets in both dry and sweaty conditions versus a skin model. Finally, we demonstrate the functionality of our sensor by measuring the heartbeat at the forehead in reflection mode and comparing it with commercial finger photoplethysmography for several subjects. Our results will allow the development of flexible, individualized, and fully textile-integrated wearable sensors for sensitive skin conditions and general long-term monitoring of patients with risk for pressure ulcer.

Use of MEMS Sensors in Walking Speed Monitoring for Purposes of Behavioral Analysis

2015 ◽  
Vol 18 ◽  
pp. 159-166
Author(s):  
Ján Karchňák ◽  
Dušan Šimšík ◽  
Alena Galajdová ◽  
Boris Jobbágy
Keyword(s):  
Walking Speed ◽  
Wearable Sensors ◽  
Home Care Services ◽  
Mems Sensors ◽  
Care Services ◽  
Current State ◽  
Hip Extension ◽  
Tele Monitoring ◽  
State Of Art

Wearable sensors are bringing innovative approach in research of smart environments, tele-monitoring and home care services. Average walking speed is one of the suitable indicators of state, condition and activities of patient along with observing of hip extension angle. The proposed article is aimed on study of accelerometer usability for monitoring of such parameters from view of long-term perspective. The article is divided into the following sections: the first section describes analysis of current state-of-art and motivation for such research, the second section is devoted to description of sensors and methodology of experimental verification and methods of data processing and the last section deals with data evaluation.

scholarly journals Review of Wearable Devices and Data Collection Considerations for Connected Health

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5589
Author(s):  
Vini Vijayan ◽  
James Connolly ◽  
Joan Condell ◽  
Nigel McKelvey ◽  
Philip Gardiner
Keyword(s):  
Functional Ability ◽  
Wearable Sensors ◽  
Disease Diagnosis ◽  
Self Report ◽  
Sensor Technology ◽  
Self Assessment ◽  
Patient Recall ◽  
Wide Range ◽  
Patient Health

Wearable sensor technology has gradually extended its usability into a wide range of well-known applications. Wearable sensors can typically assess and quantify the wearer’s physiology and are commonly employed for human activity detection and quantified self-assessment. Wearable sensors are increasingly utilised to monitor patient health, rapidly assist with disease diagnosis, and help predict and often improve patient outcomes. Clinicians use various self-report questionnaires and well-known tests to report patient symptoms and assess their functional ability. These assessments are time consuming and costly and depend on subjective patient recall. Moreover, measurements may not accurately demonstrate the patient’s functional ability whilst at home. Wearable sensors can be used to detect and quantify specific movements in different applications. The volume of data collected by wearable sensors during long-term assessment of ambulatory movement can become immense in tuple size. This paper discusses current techniques used to track and record various human body movements, as well as techniques used to measure activity and sleep from long-term data collected by wearable technology devices.

Using wearable sensors and video networks for falls research in long term care facilities

2010 ◽  
Vol 9 (2) ◽  
Author(s):  
S. Robinovitch ◽  
E. Robinson ◽  
Y. Yang ◽  
T. Sarraf ◽  
O. Aziz ◽  
...  
Keyword(s):  
Long Term Care ◽  
Wearable Sensors ◽  
Term Care ◽  
Care Facilities

scholarly journals Digital health in the age of The Infinite Network

2016 ◽  
Vol 5 ◽  
Author(s):  
Nikhil Balram ◽  
Ivana Tošić ◽  
Harsha Binnamangalam
Keyword(s):  
Large Scale ◽  
Digital Health ◽  
Wearable Sensors ◽  
Embedded Sensors ◽  
Individual Level ◽  
Continuous Approach ◽  
Infinite Network ◽  
Remote Care ◽  
The Impact

The exponential growth in digital technology is leading us to a future in which all things and all people are connected all the time, something we refer to as The Infinite Network (TIN), which will cause profound changes in every industry. Here, we focus on the impact it will have in healthcare. TIN will change the essence of healthcare to a data-driven continuous approach as opposed to the event-driven discrete approach used today. At a micro or individual level, smart sensing will play a key role, in the form of embedded sensors, wearable sensors, and sensing from smart medical devices. At a macro or aggregate level, healthcare will be provided by Intelligent Telehealth Networks that evolve from the telehealth networks that are available today. Traditional telemedicine has delivered remote care to patients in the area where doctors are not readily available, but has not achieved at large scale. New advanced networks will deliver care at a much larger scale. The long-term future requires intelligent hybrid networks that combine artificial intelligence with human intelligence to provide continuity of care at higher quality and lower cost than is possible today.

scholarly journals Development and Validation of Open-Source Activity Intensity Count and Activity Intensity Classification Algorithms from Raw Acceleration Signals of Wearable Sensors

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6767
Author(s):  
Isabelle Poitras ◽  
Jade Clouâtre ◽  
Laurent J. Bouyer ◽  
François Routhier ◽  
Catherine Mercier ◽  
...  
Keyword(s):  
Open Source ◽  
Wearable Sensors ◽  
Classification Algorithms ◽  
Classification Methods ◽  
Commercial Activity ◽  
Activity Intensity ◽  
Development And Validation ◽  
Intensity Classification ◽  
Acceleration Signals

Background: A popular outcome in rehabilitation studies is the activity intensity count, which is typically measured from commercially available accelerometers. However, the algorithms are not openly available, which impairs long-term follow-ups and restricts the potential to adapt the algorithms for pathological populations. The objectives of this research are to design and validate open-source algorithms for activity intensity quantification and classification. Methods: Two versions of a quantification algorithm are proposed (fixed [FB] and modifiable bandwidth [MB]) along with two versions of a classification algorithm (discrete [DM] vs. continuous methods [CM]). The results of these algorithms were compared to those of a commercial activity intensity count solution (ActiLife) with datasets from four activities (n = 24 participants). Results: The FB and MB algorithms gave similar results as ActiLife (r > 0.96). The DM algorithm is similar to a ActiLife (r ≥ 0.99). The CM algorithm differs (r ≥ 0.89) but is more precise. Conclusion: The combination of the FB algorithm with the DM results is a solution close to that of ActiLife. However, the MB version remains valid while being more adaptable, and the CM is more precise. This paper proposes an open-source alternative for rehabilitation that is compatible with several wearable devices and not dependent on manufacturer commercial decisions.

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