Mukkamala, Ramakrishna
University of Pittsburgh
6 papers on CoChatORCID 0000-0001-8918-4050
Most cited papers
- Verified
Toward ubiquitous blood pressure monitoring via pulse transit time: Theory and practice
Mukkamala, R., Hahn, J.-O., Inan, O. T., Mestha, L. K., Kim, C.-S., Toreyin, H., & Kyal, S. (2015) · IEEE Transactions on Biomedical Engineering
Non-Invasive Vital Sign MonitoringCardiovascular Health and Disease Prevention
Cited by 935
- Verified
Evaluation of the Accuracy of Cuffless Blood Pressure Measurement Devices: Challenges and Proposals
Mukkamala, R., Yavarimanesh, M., Natarajan, K., Hahn, J.-O., Kyriakoulis, K. G., Avolio, A. P., & Stergiou, G. S. (2021) · Hypertension
Non-Invasive Vital Sign MonitoringBlood Pressure and Hypertension Studies
Cited by 211
- Verified
Cuffless Blood Pressure Measurement
Mukkamala, R., Stergiou, G. S., & Avolio, A. P. (2022) · Annual Review of Biomedical Engineering
Non-Invasive Vital Sign MonitoringCardiovascular Health and Disease Prevention
Cited by 180
- Verified
Comparison of noninvasive pulse transit time estimates as markers of blood pressure using invasive pulse transit time measurements as a reference
Gao, M., Olivier, N. B., & Mukkamala, R. (2016) · Physiological Reports
Non-Invasive Vital Sign MonitoringCardiovascular Health and Disease Prevention
Cited by 86
- Verified
Formulas to Explain Popular Oscillometric Blood Pressure Estimation Algorithms
Chandrasekhar, A., Yavarimanesh, M., Hahn, J.-O., Sung, S.-H., Chen, C.-H., Cheng, H.-M., & Mukkamala, R. (2019) · Frontiers in Physiology
Non-Invasive Vital Sign MonitoringBlood Pressure and Hypertension Studies
Cited by 84
- Verified
Estimation of Cardiovascular Risk Predictors From Non-Invasively Measured Diametric Pulse Volume Waveforms via Multiple Measurement Information Fusion
Ghasemi, Z., Lee, J. C., Kim, C.-S., Cheng, H.-M., Sung, S.-H., Chen, C.-H., Mukkamala, R., & Hahn, J.-O. (2018) · Scientific Reports
Non-Invasive Vital Sign MonitoringCardiovascular Health and Disease Prevention
Cited by 30
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