On the Use of Smart Wearable Technology for Gynecology and Obstetrics Care

Author(s):  
Shang-Yun Sun ◽  
Chung-Chin Lin ◽  
Jie Wang
2021 ◽  
Vol 11 (9) ◽  
pp. 3914
Author(s):  
Chi-Wai Kan ◽  
Yin-Ling Lam

Smart wearable textiles can sense, react, and adapt themselves to external conditions or stimuli, and they can be divided into active and passive smart wearable textiles, which can work with the human brain for cognition, reasoning, and activating capacity. Wearable technology is among the fastest growing parts of health, entertainment, and education. In the future, the development of wearable electronics will be focused on multifunctional, user-friendly, and user acceptance and comfort features and shall be based on advanced electronic textile systems.


2018 ◽  
Vol 49 ◽  
pp. 212-213 ◽  
Author(s):  
Wenzhi Fan ◽  
Ji Cheng ◽  
Xiujian Zhu ◽  
Yang Du ◽  
Xiuqi Huang

2021 ◽  
Vol 1042 (1) ◽  
pp. 012025
Author(s):  
Apeksha Shah ◽  
Swati Ahirrao ◽  
Shraddha Phansalkar ◽  
Ketan Kotecha

2021 ◽  
pp. 407-425
Author(s):  
G. Sucharitha ◽  
Bodepu Tannmayee ◽  
Kanagala Dwarakamai

Author(s):  
Gyasi Emmanuel Kwabena ◽  
Mageshbabu Ramamurthy ◽  
Akila Wijethunga ◽  
Purushotham Swarnalatha

The world is fascinated to see how technology evolves each passing day. All too soon, there's an emerging technology that is trending around us, and it is no other technology than smart wearable technology. Less attention is paid to the data that our bodies are radiating and communicating to us, but with the timely arrival of wearable sensors, we now have numerous devices that can be tracking and collecting the data that our bodies are radiating. Apart from numerous benefits that we derive from the functions provided by wearable technology such as monitoring of our fitness levels, etc., one other critical importance of wearable technology is helping the advancement of artificial intelligence (AI) and machine learning (ML). Machine learning thrives on the availability of massive data and wearable technology which forms part of the internet of things (IoT) generates megabytes of data every single day. The data generated by these wearable devices are used as a dataset for the training and learning of machine learning models. Through the analysis of the outcome of these machine learning models, scientific conclusions are made.


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