Wearable Sensors: Flexible Hybrid Sensors for Health Monitoring: Materials and Mechanisms to Render Wearability (Adv. Mater. 15/2020)

Accurate monitoring of motion and sleep states is critical for human health assessment, especially for a healthy life, early diagnosis of diseases, and medical care. In this work, a smart wearable sensor (SWS) based on a dual-channel triboelectric nanogenerator was presented for a real-time health monitoring system. The SWS can be worn on wrists, ankles, shoes, or other parts of the body and cloth, converting mechanical triggers into electrical output. By analyzing these signals, the SWS can precisely and constantly monitor and distinguish various motion states, including stepping, walking, running, and jumping. Based on the SWS, a fall-down alarm system and a sleep quality assessment system were constructed to provide personal healthcare monitoring and alert family members or doctors via communication devices. It is important for the healthy growth of the young and special patient groups, as well as for the health monitoring and medical care of the elderly and recovered patients. This work aimed to broaden the paths for remote biological movement status analysis and provide diversified perspectives for true-time and long-term health monitoring, simultaneously.

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Material and Configuration Design Strategies towards Flexible and Wearable Power Supply Devices: A Review

Journal of Materials Chemistry A ◽

10.1039/d0ta11260g ◽

2021 ◽

Author(s):

Jiyuan Gao ◽

Kezheng Shang ◽

Yichun Ding ◽

Zhenhai Wen

Keyword(s):

Human Health ◽

Health Monitoring ◽

Power Supply ◽

Wearable Sensors ◽

Configuration Design ◽

Design Strategies ◽

Human Machine Interfaces

Flexible and wearable sensors have shown great potential in tremendous applications such as human health monitoring, smart robots, and human–machine interfaces, yet the lack of suitable flexible power supply devices...

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Recent Advances in Wearable Devices for Non-Invasive Sensing

Applied Sciences ◽

10.3390/app11031235 ◽

2021 ◽

Vol 11 (3) ◽

pp. 1235

Author(s):

Su Min Yun ◽

Moohyun Kim ◽

Yong Won Kwon ◽

Hyobeom Kim ◽

Mi Jung Kim ◽

...

Keyword(s):

Health Monitoring ◽

Data Transmission ◽

Wearable Sensors ◽

Wearable Devices ◽

Wireless Power ◽

Non Invasive ◽

Sensing Systems ◽

Recent Advances ◽

Wearable Systems ◽

Precise Diagnosis

The development of wearable sensors is aimed at enabling continuous real-time health monitoring, which leads to timely and precise diagnosis anytime and anywhere. Unlike conventional wearable sensors that are somewhat bulky, rigid, and planar, research for next-generation wearable sensors has been focused on establishing fully-wearable systems. To attain such excellent wearability while providing accurate and reliable measurements, fabrication strategies should include (1) proper choices of materials and structural designs, (2) constructing efficient wireless power and data transmission systems, and (3) developing highly-integrated sensing systems. Herein, we discuss recent advances in wearable devices for non-invasive sensing, with focuses on materials design, nano/microfabrication, sensors, wireless technologies, and the integration of those.

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Stochastic Recognition of Physical Activity and Healthcare Using Tri-Axial Inertial Wearable Sensors

Applied Sciences ◽

10.3390/app10207122 ◽

2020 ◽

Vol 10 (20) ◽

pp. 7122

Author(s):

Ahmad Jalal ◽

Mouazma Batool ◽

Kibum Kim

Keyword(s):

Physical Activity ◽

Human Health ◽

Activity Recognition ◽

Human Activity ◽

Health Monitoring ◽

Wearable Sensors ◽

Gaussian Mixture ◽

Sensor Data ◽

Tree Classifier ◽

Combined Features

The classification of human activity is becoming one of the most important areas of human health monitoring and physical fitness. With the use of physical activity recognition applications, people suffering from various diseases can be efficiently monitored and medical treatment can be administered in a timely fashion. These applications could improve remote services for health care monitoring and delivery. However, the fixed health monitoring devices provided in hospitals limits the subjects’ movement. In particular, our work reports on wearable sensors that provide remote monitoring that periodically checks human health through different postures and activities to give people timely and effective treatment. In this paper, we propose a novel human activity recognition (HAR) system with multiple combined features to monitor human physical movements from continuous sequences via tri-axial inertial sensors. The proposed HAR system filters 1D signals using a notch filter that examines the lower/upper cutoff frequencies to calculate the optimal wearable sensor data. Then, it calculates multiple combined features, i.e., statistical features, Mel Frequency Cepstral Coefficients, and Gaussian Mixture Model features. For the classification and recognition engine, a Decision Tree classifier optimized by the Binary Grey Wolf Optimization algorithm is proposed. The proposed system is applied and tested on three challenging benchmark datasets to assess the feasibility of the model. The experimental results show that our proposed system attained an exceptional level of performance compared to conventional solutions. We achieved accuracy rates of 88.25%, 93.95%, and 96.83% over MOTIONSENSE, MHEALTH, and the proposed self-annotated IM-AccGyro human-machine dataset, respectively.

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Roll-To-Roll Printing of Wearable Sensors and Devices for Personalized Health Monitoring

American Journal of Biomedical Science & Research ◽

10.34297/ajbsr.2020.07.001208 ◽

2020 ◽

Vol 7 (6) ◽

pp. 495-498

Author(s):

Xian Du

Keyword(s):

Health Monitoring ◽

Wearable Sensors ◽

Roll To Roll ◽

Personalized Health

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Emerging Wearable Sensors for Plant Health Monitoring

Advanced Functional Materials ◽

10.1002/adfm.202106475 ◽

2021 ◽

pp. 2106475

Author(s):

Giwon Lee ◽

Qingshan Wei ◽

Yong Zhu

Keyword(s):

Health Monitoring ◽

Wearable Sensors ◽

Plant Health

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Next Generation Wearable Devices

International Journal of Interdisciplinary Telecommunications and Networking ◽

10.4018/ijitn.2014040102 ◽

2014 ◽

Vol 6 (2) ◽

pp. 25-51 ◽

Cited By ~ 1

Author(s):

Niraj Shakhakarmi

Keyword(s):

Health Monitoring ◽

Service Management ◽

Wearable Sensors ◽

Wearable Devices ◽

Smart Devices ◽

Smart Device ◽

Monitoring Device ◽

Next Generation ◽

Spectrum Utilization ◽

Smart Health

The next generation wearable devices are Smart health monitoring device and Smart sousveillance hat which are capable of using wearable sensors for measuring physiological information, sousveillanace, navigation, as well as smart device to smart device communications over cellular coverage. Smart health monitoring device collect and observe different health related information deploying biosensors and can predict health problems. Smart sousveillance hat provides the brainwaves based fatigue state, training and sousveillance around the wearer. The next generation wearable smart devices deploy the device to device communications in LTE assisted networks with D2D server, D2D Application server and D2D enhanced LTE signalling for D2D service management, spectrum utilization and broad cellular coverage, which make them portable, social, commercial and sustainable. Thus, the wearable device technology will merge with the smart communications besides the health and wellness. Furthermore, the simulation and performance evaluation shows that LTE-D2D wearable smart device communications provides two times more energy efficiency than LTE-UEs cellular communications. The LTE-D2D data rate is also found significantly higher with higher D2D-SINR for lower relative mobility (= 30m/s) and lower D2D distance (<400m) between devices.

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Smart and Connected Bioelectronics for Seamless Health Monitoring and Persistent Human-Machine Interfaces

International Symposium on Microelectronics ◽

10.4071/2380-4505-2018.1.000660 ◽

2018 ◽

Vol 2018 (1) ◽

pp. 000660-000664 ◽

Cited By ~ 1

Author(s):

Yun-Soung Kim ◽

Woon-Hong Yeo

Keyword(s):

Health Monitoring ◽

Information Science ◽

Wearable Sensors ◽

Soft Materials ◽

Electronic Systems ◽

Wearable Electronics ◽

Prosthetic Hands ◽

Computer Interfaces ◽

Human Machine Interfaces ◽

Rapid Transformation

Abstract Recent advancement of flexible wearable electronics allows significant enhancement of portable, continuous health monitoring and persistent human-machine interfaces. Enabled by flexible electronic systems, smart and connected bioelectronics are accelerating the integration of innovative information science and engineering strategies, ultimately driving the rapid transformation of healthcare and medicine. Recent progress in development and engineering of soft materials has provided various opportunities to design different types of mechanically deformable systems towards smart and connected bioelectronics. Here, we summarize the key properties of soft materials and their characteristics in the context of wearable sensors and electronics. Details of functionality and sensitivity of the bioelectronics are discussed with applications in health, medicine, and machine interfaces. In addition, we introduce recent examples of bioelectronics that offer persistent human-machine interfaces to control prosthetic hands, wheelchairs, or computer interfaces.

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

Sensors ◽

10.3390/s20143927 ◽

2020 ◽

Vol 20 (14) ◽

pp. 3927 ◽

Cited By ~ 2

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.

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