Multi-potential biomarkers for seafood quality assessment: Global wide implication for human health monitoring

2020 ◽  
Vol 132 ◽  
pp. 116056
Author(s):  
Vikas Kumar ◽  
Amit K. Sinha ◽  
Albana Uka ◽  
Amina Antonacci ◽  
Viviana Scognamiglio ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Human Health ◽  
Health Monitoring ◽  
Wide Implication ◽  
Potential Biomarkers

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

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...

Wearable and Alignment-free Optical Microfiber Device for Human Health Monitoring

2021 ◽  
Author(s):  
Liangye Li ◽  
Changying Song ◽  
Yunfei Liu ◽  
Shunfeng Sheng ◽  
Zhijun Yan ◽  
...  
Keyword(s):  
Human Health ◽  
Health Monitoring ◽  
Alignment Free ◽  
Optical Microfiber

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

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.

Wearable biochemical sensors for human health monitoring: sensing materials and manufacturing technologies

2020 ◽  
Vol 8 (16) ◽  
pp. 3423-3436 ◽  
Author(s):  
Guanglei Li ◽  
Dan Wen
Keyword(s):  
Human Health ◽  
Health Monitoring ◽  
Biochemical Sensors ◽  
Manufacturing Technologies

Recent achievements and challenges in materials and manufacturing technologies of sensing electrodes in wearable biosensors have been highlighted.

scholarly journals Graphene coated textile based highly flexible and washable sports bra for human health monitoring

2020 ◽  
Vol 193 ◽  
pp. 108792 ◽  
Author(s):  
Mahmuda Akter Shathi ◽  
Minzhi Chen ◽  
Nazakat Ali Khoso ◽  
Md Taslimur Rahman ◽  
Bidhan Bhattacharjee
Keyword(s):  
Human Health ◽  
Health Monitoring

Highly stretchable polymer/silver nanowires composite sensor for human health monitoring

Nano Research ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 919-926 ◽  
Author(s):  
Yanjing Zhang ◽  
Pei He ◽  
Meng Luo ◽  
Xiaowen Xu ◽  
Guozhang Dai ◽  
...  
Keyword(s):  
Human Health ◽  
Health Monitoring ◽  
Silver Nanowires ◽  
Highly Stretchable ◽  
Composite Sensor
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