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Dr. Saman Parvaneh received his Bachelors in electrical engineering in 2003 followed by MSc and PhD degree in biomedical engineering in 2005 and 2011, respectively. During his PhD, his primary focus was on algorithm development and bio-signal processing to predict spontaneous termination of atrial fibrillation. Specifically, he developed a novel geometric algorithm based on the chaos theory for this purpose.

During his service at the University of Arizona as a postdoctoral research associate, he developed an innovative algorithm for assessing physiological stress response using a wearable device and employed it for assessing stress in the patient population (e.g. diabetes patient) as well as surgeons during surgery. He also worked on a fusion of cardiac response (e.g. heart rate and heart rate variability) and human movement monitoring and analysis in real-world conditions mainly based on wearable technologies and inertial sensors for objective risk and performance assessment. He used his expertise for frailty and risk of fall assessment in older adults as well as a risk of fall assessment in ICU patients.

He is currently a senior research scientist at the Clinical Analytics and Therapy Decision Support Solutions team in Philips Research North America, Cambridge-Massachusetts. His research interests include the development of personal health solutions and the development of clinical decision support systems and predictive modeling. He is author or co-author of more than 30 scientific papers published in peer-reviewed journals and presented at international conferences.

Research Interests

- Biomedical signal processing and modeling

- Algorithm development for body-worn sensors (e.g. accelerometer/gyroscope/pressure sensor/ECG monitoring)

- Emotion assessment and affective computing using bio-signals (e.g. heart rate and HRV)

- Outcome Evaluation (e.g. gait, balance, physical activity, and physiological response)

- Development of clinical decision support

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