Faculty profile
Sreeraman Rajan
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Research
Latest papers
Investigating Performance of an Embedded Machine Learning Solution for Classifying Postural Behaviors.
Sensors (Basel, Switzerland) · 2025
Automatic Classification of Anomalous ECG Heartbeats from Samples Acquired by Compressed Sensing.
Bioengineering (Basel, Switzerland) · 2024
Quantitative Analysis of Mother Wavelet Function Selection for Wearable Sensors-Based Human Activity Recognition.
Sensors (Basel, Switzerland) · 2024 · senior author
Latest funding
- $100,000
Intelligent Noncontact Sensing and Advanced Signal Processing for Human Health and Safety Monitoring
NSERC · 2023 · Principal investigator
- $75,000
Advanced Sensor Systems and Signal Processing
NSERC · 2019 · Principal investigator
- $400,000
Advanced Sensor Systems and Signal Processing
NSERC · 2019 · Principal investigator
11 publications.
Investigating Performance of an Embedded Machine Learning Solution for Classifying Postural Behaviors.
Andò B, Baglio S, Manenti M, Finocchiaro V, Marletta V, Rajan S, Nehary EA, Dibilio V, Zappia M, Mostile G
Automatic Classification of Anomalous ECG Heartbeats from Samples Acquired by Compressed Sensing.
Picariello E, Picariello F, Tudosa I, Rajan S, De Vito L
Quantitative Analysis of Mother Wavelet Function Selection for Wearable Sensors-Based Human Activity Recognition.
Nematallah H, Rajan S
An Investigation of Rotary Drone HERM Line Spectrum under Manoeuvering Conditions.
Klaer P, Huang A, Sévigny P, Rajan S, Pant S, Patnaik P, Balaji B
Uncertainty in Blood Pressure Measurement Estimated Using Ensemble-Based Recursive Methodology.
Lee S, Dajani HR, Rajan S, Lee G, Groza VZ
Evaluation of the signal quality of wrist-based photoplethysmography.
Pradhan N, Rajan S, Adler A
Oscillometric blood pressure estimation by combining nonparametric bootstrap with Gaussian mixture model.
Lee S, Rajan S, Jeon G, Chang JH, Dajani HR, Groza VZ
Bayesian fusion algorithm for improved oscillometric blood pressure estimation.
Forouzanfar M, Dajani HR, Groza VZ, Bolic M, Rajan S, Batkin I
Estimated confidence interval from single blood pressure measurement based on algorithmic fusion.
Lee S, Rajan S, Park CH, Chang JH, Dajani HR, Groza VZ
Blood pressure estimation using maximum slope of oscillometric pulses.
Mafi M, Rajan S, Bolic M, Groza VZ, Dajani HR
Intelligent Noncontact Sensing and Advanced Signal Processing for Human Health and Safety Monitoring
Principal investigators: Rajan, Sreeraman
Keywords: noncontact sensing; vital sign monitoring; radar data analysis; signal processing; detection; classification; localization; machine learning; activity monitoring; biomedical signal processing
Advanced Sensor Systems and Signal Processing
Principal investigators: Rajan, Sreeraman
Advanced Sensor Systems and Signal Processing
Principal investigators: Rajan, Sreeraman
Keywords: Signal processing; sensor systems; detection and estimation; ; classification; localization; compressive sensing; biomedical ; signal processing; non-invasive physiological signal ; processing; applied machine learning
Advanced Signal Processing for Future Mission Systems
Principal investigators: Rajan, Sreeraman
Sensing, Detection and Classification of UAVs Using Multiple Radars
Principal investigators: Rajan, Sreeraman
Non-invasive stand-off sensing for detecting, monitoring and localizing humans
Principal investigators: Rajan, Sreeraman
Sensor Systems
Principal investigators: Rajan, Sreeraman
Sensor Systems
Principal investigators: Rajan, Sreeraman
Keywords: CRC
Sensor Systems
Principal investigators: Rajan, Sreeraman
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Miodrag Bolic and Sreeraman Rajan: 3 shared papers
- Andy Adler and Sreeraman Rajan: 1 shared paper
- Sreeraman Rajan and Bhashyam Balaji: 1 shared paper
- Systems and Computer Engineering
- Electrical Engineering and Computer Science , School of - science informatique et de génie électrique, École de
Co-authors at Carleton University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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