From Wearable Sensors to Smart Implants-–Toward Pervasive and Personalized Healthcare
By Javier Andreu-Perez, Daniel Richard Leff, Henry M. D. Ip, Guang-Zhong Yang. IEEE Transactions on Biomedical Engineering, 2015
310 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/ef3014ecfb38cd51bc915c72556a922f7ffb6dab
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Javier Andreu-Perez
- Mirza Mansoor Baig
- Guang-Zhong Yang
- Jindong Wang
- Hamid Gholamhosseini
- Yiqiang Chen
- Wen Gao
In Computer Vision and Pattern Recognition
- Jindong Wang
- Chaohui Yu
- Yiqiang Chen
- Mirza Mansoor Baig
- Javier Andreu-Perez
- Guang-Zhong Yang
- Hamid Gholamhosseini
- Xin Qin
Citations in the corpus
- FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare (2019, background): “In fact, there is a growing trend for wearable healthcare over the years [ Andreu-Perez et al. , 2015; Hiremath et al. , 2014 In healthcare applications, machine learning models are often trained on sufficient user data to track health status.”
- A Review of IoT Sensing Applications and Challenges Using RFID and Wireless Sensor Networks (2020, background): “The main challenges these systems must overcome in order to enable their use as wearable devices are the following [64–71]:”
- A Systematic Review of Wearable Patient Monitoring Systems – Current Challenges and Opportunities for Clinical Adoption (2017, background): “The wearable systems supported by the advanced information technology and sophisticated sensors have the capability to continuously monitor human physiology and consequently expedite treatments [26].”
- Big Data for Health (2015, background): “As outlined in a recent review article [15], three factors, in”