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Ramakrishna Mukkamala
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- affiliation: Michigan State University, East Lansing, MI, USA
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2020 – today
- 2024
- [j33]Sina Masoumi Shahrbabak
, Sooho Kim, Byeng Dong Youn, Hao-Min Cheng, Chen-Huan Chen, Ramakrishna Mukkamala
Peripheral artery disease diagnosis based on deep learning-enabled analysis of non-invasive arterial pulse waveforms. Comput. Biol. Medicine 168: 107813 (2024) - [j32]Donghyeon Kim
Transmission line model as a digital twin for abdominal aortic aneurysm patients. npj Digit. Medicine 7(1) (2024) - [j31]Azin Mousavi
A Physical Model-Based Approach to One-Point Calibration of Pulse Transit Time to Blood Pressure. IEEE Trans. Biomed. Eng. 71(2): 477-483 (2024) - [j30]Cederick Landry
Nonlinear Viscoelastic Modeling of Finger Arteries: Toward Smartphone-Based Blood Pressure Monitoring via the Oscillometric Finger Pressing Method. IEEE Trans. Biomed. Eng. 71(9): 2708-2717 (2024) - [j29]Wenjin Wang
Guest Editorial Camera-Based Health Monitoring in Real-World Scenarios. IEEE J. Biomed. Health Informatics 28(2): 595-597 (2024) - 2023
- [j28]Yang Yao
What filter passband should be applied to the ballistocardiogram? Biomed. Signal Process. Control. 85: 104909 (2023) - [j27]Vishaal Dhamotharan
Mathematical Modeling of Oscillometric Blood Pressure Measurement: A Complete, Reduced Oscillogram Model. IEEE Trans. Biomed. Eng. 70(2): 715-722 (2023) - [j26]Mark Freithaler
Smartphone-Based Blood Pressure Monitoring via the Oscillometric Finger Pressing Method: Analysis of Oscillation Width Variations Can Improve Diastolic Pressure Computation. IEEE Trans. Biomed. Eng. 70(11): 3052-3063 (2023) - 2022
- [j25]Shuo Du, Yang Yao
Simultaneous adaption of the gain and phase of a generalized transfer function for aortic pressure waveform estimation. Comput. Biol. Medicine 141: 105187 (2022) - [j24]Mohammad Yavarimanesh, Hao-Min Cheng, Chen-Huan Chen, Shih-Hsien Sung, Aman Mahajan, Rabih A. Chaer, Sanjeev G. Shroff, Jin-Oh Hahn
Abdominal aortic aneurysm monitoring via arterial waveform analysis: towards a convenient point-of-care device. npj Digit. Medicine 5 (2022) - [j23]Keerthana Natarajan
Photoplethysmography Fast Upstroke Time Intervals Can Be Useful Features for Cuff-Less Measurement of Blood Pressure Changes in Humans. IEEE Trans. Biomed. Eng. 69(1): 53-62 (2022) - [j22]Sungtae Shin
Posture-Dependent Variability in Wrist Ballistocardiogram-Photoplethysmogram Pulse Transit Time: Implication to Cuff-Less Blood Pressure Tracking. IEEE Trans. Biomed. Eng. 69(1): 347-355 (2022) - [j21]Mohammad Yavarimanesh, Robert C. Block, Keerthana Natarajan
Assessment of Calibration Models for Cuff-Less Blood Pressure Measurement After One Year of Aging. IEEE Trans. Biomed. Eng. 69(6): 2087-2093 (2022) - 2021
- [j20]Marco Di Rienzo
Wearable and Nearable Biosensors and Systems for Healthcare. Sensors 21(4): 1291 (2021) - [j19]Sungtae Shin
A Unified Approach to Wearable Ballistocardiogram Gating and Wave Localization. IEEE Trans. Biomed. Eng. 68(4): 1115-1122 (2021) - 2020
- [j18]Peyman Yousefian
Pulse Transit Time-Pulse Wave Analysis Fusion Based on Wearable Wrist Ballistocardiogram for Cuff-Less Blood Pressure Trend Tracking. IEEE Access 8: 138077-138087 (2020) - [j17]Anand Chandrasekhar
PPG Sensor Contact Pressure Should Be Taken Into Account for Cuff-Less Blood Pressure Measurement. IEEE Trans. Biomed. Eng. 67(11): 3134-3140 (2020) - [j16]Yang Yao
Mitigation of Instrument-Dependent Variability in Ballistocardiogram Morphology: Case Study on Force Plate and Customized Weighing Scale. IEEE J. Biomed. Health Informatics 24(1): 69-78 (2020)
2010 – 2019
- 2019
- [j15]Yang Yao
Unobtrusive Estimation of Cardiovascular Parameters with Limb Ballistocardiography. Sensors 19(13): 2922 (2019) - 2018
- [j14]Ramakrishna Mukkamala
Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Predictions on Maximum Calibration Period and Acceptable Error Limits. IEEE Trans. Biomed. Eng. 65(6): 1410-1420 (2018) - [j13]Chang-Sei Kim
Ballistocardiogram-Based Approach to Cuffless Blood Pressure Monitoring: Proof of Concept and Potential Challenges. IEEE Trans. Biomed. Eng. 65(11): 2384-2391 (2018) - [j12]Jongchan Lee, Zahra Ghasemi
Investigation of Viscoelasticity in the Relationship Between Carotid Artery Blood Pressure and Distal Pulse Volume Waveforms. IEEE J. Biomed. Health Informatics 22(2): 460-470 (2018) - [c15]Marisel Villafane-Delgado, Ramakrishna Mukkamala
Assessing Students' Mathematical Challenges in an Introduction to Signal Processing Course and the Effects of Cooperative Learning. FIE 2018: 1-7 - 2017
- [j11]Mingwu Gao, Hao-Min Cheng, Shih-Hsien Sung, Chen-Huan Chen, Nicholas Bari Olivier, Ramakrishna Mukkamala
Estimation of Pulse Transit Time as a Function of Blood Pressure Using a Nonlinear Arterial Tube-Load Model. IEEE Trans. Biomed. Eng. 64(7): 1524-1534 (2017) - 2016
- [c14]Albert Lee, Zahra Ghasemi
Cardiovascular Risk Predictors Estimation via Carotid Tonometry and Ankle Cuff Oscillation Measurement. CHASE 2016: 342-343 - 2015
- [j10]Ramakrishna Mukkamala
Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice. IEEE Trans. Biomed. Eng. 62(8): 1879-1901 (2015) - [j9]Chang-Sei Kim
Ballistocardiogram as Proximal Timing Reference for Pulse Transit Time Measurement: Potential for Cuffless Blood Pressure Monitoring. IEEE Trans. Biomed. Eng. 62(11): 2657-2664 (2015) - 2014
- [j8]Mingwu Gao, Guanqun Zhang, Nicholas Bari Olivier, Ramakrishna Mukkamala
Improved Pulse Wave Velocity Estimation Using an Arterial Tube-Load Model. IEEE Trans. Biomed. Eng. 61(3): 848-858 (2014) - [c13]Jiankun Liu, Hao-Min Cheng, Chen-Huan Chen, Shih-Hsien Sung, Jin-Oh Hahn, Ramakrishna Mukkamala
Model-based oscillometric blood pressure measurement: Preliminary validation in humans. EMBC 2014: 1961-1964 - [c12]Mingwu Gao, Mohsen Moslehpour, Nicholas Bari Olivier, Ramakrishna Mukkamala
Emax monitoring by aortic pressure waveform analysis. EMBC 2014: 6762-6765 - 2013
- [c11]Ramakrishna Mukkamala
A comparative analysis of reduced arterial models for hemodynamic monitoring. EMBC 2013: 225-228 - [c10]Jiankun Liu, Jin-Oh Hahn, Ramakrishna Mukkamala
An initial step towards improving the accuracy of the oscillometric blood pressure measurement. EMBC 2013: 4082-4085 - 2012
- [c9]Mingwu Gao, Ramakrishna Mukkamala
Perturbationless calibration of pulse transit time to blood pressure. EMBC 2012: 232-235 - [c8]Jiankun Liu, Jin-Oh Hahn, Ramakrishna Mukkamala
Model-based error analysis of the oscillometric fixed-ratio blood pressure measurement method. EMBC 2012: 633-636 - [c7]Guanqun Zhang, Kathy L. Ryan, Caroline A. Rickards
Early detection of hemorrhage via central pulse pressure derived from a non-invasive peripheral arterial blood pressure waveform. EMBC 2012: 3116-3119 - 2011
- [c6]Guanqun Zhang, Mingwu Gao, Ramakrishna Mukkamala
Robust, beat-to-beat estimation of the true pulse transit time from central and peripheral blood pressure or flow waveforms using an arterial tube-load model. EMBC 2011: 4291-4294 - [c5]Mohsen Moslehpour, Guanqun Zhang, Ramakrishna Mukkamala
Cardiac output monitoring by long time interval analysis of a radial arterial blood pressure waveform with correction for arterial compliance changes using pulse transit time. EMBC 2011: 5496-5498 - [c4]Guanqun Zhang, Da Xu, Nicholas Bari Olivier, Ramakrishna Mukkamala
Pulse arrival time is not an adequate surrogate for pulse transit time in terms of tracking diastolic pressure. EMBC 2011: 6462-6464 - 2010
- [j7]Gokul Swamy, Nicholas Bari Olivier, Ramakrishna Mukkamala
Calculation of Forward and Backward Arterial Waves by Analysis of Two Pressure Waveforms. IEEE Trans. Biomed. Eng. 57(12): 2833-2839 (2010)
2000 – 2009
- 2009
- [j6]Da Xu, Nicholas Bari Olivier, Ramakrishna Mukkamala
Cardiac Output and Left Atrial Pressure Monitoring by Right Ventricular Pressure Waveform Analysis for Potential Implantable Device Application. IEEE Trans. Biomed. Eng. 56(9): 2335-2339 (2009) - 2008
- [j5]Gokul Swamy, Ramakrishna Mukkamala
Estimation of the Aortic Pressure Waveform and Beat-to-Beat Relative Cardiac Output Changes From Multiple Peripheral Artery Pressure Waveforms. IEEE Trans. Biomed. Eng. 55(5): 1521-1529 (2008) - 2006
- [j4]Ramakrishna Mukkamala
Continuous cardiac output monitoring by peripheral blood pressure waveform analysis. IEEE Trans. Biomed. Eng. 53(3): 459-467 (2006) - [j3]Xinshu Xiao
A weighted-principal component regression method for the identification of physiologic systems. IEEE Trans. Biomed. Eng. 53(8): 1521-1530 (2006) - [c3]Zhenwei Lu, Ramakrishna Mukkamala
Continuous Cardiac Output and Left Atrial Pressure Monitoring by Pulmonary Artery Pressure Waveform Analysis. EMBC 2006: 214-217 - [c2]Ramakrishna Mukkamala
Continuous Left Ventricular Ejection Fraction Monitoring by Central Aortic Pressure Waveform Analysis. EMBC 2006: 620-623 - [c1]Gokul Swamy, Qi Ling, Tongtong Li, Ramakrishna Mukkamala
Blind Identification of the Central Aortic Pressure Waveform from Multiple Peripheral Arterial Pressure Waveforms. EMBC 2006: 1822-1825 - 2005
- [j2]Xinshu Xiao
A model order selection criterion with applications to cardio-respiratory-renal systems. IEEE Trans. Biomed. Eng. 52(3): 445-453 (2005) - 2003
- [j1]Antonis A. Armoundas, Andrew B. Feldman, Ramakrishna Mukkamala
Statistical accuracy of a moving equivalent dipole method to identify sites of origin of cardiac electrical activation. IEEE Trans. Biomed. Eng. 50(12): 1360-1370 (2003) - 2000
- [b1]Ramakrishna Mukkamala:
A forward model-based analysis of cardiovascular system identification methods. Massachusetts Institute of Technology, Cambridge, MA, USA, 2000
Coauthor Index
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