Weft-Knitted Strain Sensor for Monitoring Respiratory Rate and Its Electro-Mechanical Modeling
By O. Atalay, W. Kennon, E. Demi̇rok. IEEE Sensors Journal, 2015
169 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/f49ee877a2cce2b526a0f4a0d8975a161c7752d8
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
- Sergio Silvestri
- Emiliano Schena
- Zhihua Wang
- Zhaochu Yang
- Carlo Massaroni
- Daniela Lo Presti
- Tao Dong
- Massimo Sacchetti
In Cognitive Neuroscience
Citations in the corpus
- Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities (2017, background): “[45] admit that motion artifacts were present during walking and other movements.”
- Contact-Based Methods for Measuring Respiratory Rate (2019, methodology): “A weft-knitted strain sensor has been proposed in [165] and successfully used to detect apnea stages as well as SB, QB, and FB.”
- Machine-knitted washable sensor array textile for precise epidermal physiological signal monitoring (2020, unknown): “In recent years, intensive endeavors have been devoted to develop textile-based systems in sensitive sensors, energy harvesting, and storage ( 29 – 39 ).”
- A Review of Wearable Technologies for Elderly Care that Can Accurately Track Indoor Position, Recognize Physical Activities and Monitor Vital Signs in Real Time (2017, methodology): “Another example was demonstrated referring to [125], where Atalay et al. developed a respiration belt using weft-knitted strain sensors to monitor RR.”