Author:
Kanduri Anil,Shahhosseini Sina,Naeini Emad Kasaeyan,Alikhani Hamidreza,Liljeberg Pasi,Dutt Nikil,Rahmani Amir M.
Publisher
Springer Nature Switzerland
Reference80 articles.
1. Adibuzzaman, M., Ostberg, C., Ahamed, S., Povinelli, R., Sindhu, B., Love, R., Kawsar, F., Ahsan, G.M.T.: Assessment of pain using facial pictures taken with a smartphone. In: 2015 IEEE 39th Annual Computer Software and Applications Conference, vol. 2, pp. 726–731. IEEE, Piscataway (2015)
2. Aqajari, S.A.H., Cao, R., Kasaeyan Naeini, E., Calderon, M.D., Zheng, K., Dutt, N., Liljeberg, P., Salanterä, S., Nelson, A.M., Rahmani, A.M.: Pain assessment tool with electrodermal activity for postoperative patients: method validation study. JMIR Mhealth Uhealth 9(5), e25258 (2021)
3. Aqajari, S.A.H., Naeini, E.K., Mehrabadi, M.A., Labbaf, S., Rahmani, A.M., Dutt, N.: GSR analysis for stress: Development and validation of an open source tool for noisy naturalistic GSR data (2020). arXiv preprint arXiv:2005.01834
4. Arif-Rahu, M., Grap, M.J.: Facial expression and pain in the critically ill non-communicative patient: state of science review. Intensive Crit. Care Nursing 26(6), 343–352 (2010)
5. Azimi, I., et al.: HiCH: hierarchical fog-assisted computing architecture for healthcare IoT. ACM Trans. Embedded Comput. Syst. 16(5), 1–20 (2017)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables;Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design;2024-08-05
2. SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25