Jennifer Boger

Jennifer Boger received the B.A.Sc. degree in biological engineering from the University of Guelph, the M.A.Sc. degree in biomedical engineering from the University of Toronto, and the Ph.D. in Life and Health Sciences from Ulster University. She was a researcher in the Department of Occupational Science and Occupational Therapy at the University of Toronto, Toronto, ON, Canada prior to her current position of Assistant Professor, Systems Design Engineering, University of Waterloo and Schlegel Research Chair in Technology for Aging, Research Institute for Aging in Waterloo, Canada. Her research focuses on intelligent technologies for enhancing the safety, health, wellbeing, and independence of older adults and people with disabilities. She employs transdisciplinary collaboration throughout her research to advance theory and create operational technologies that reflect the needs, abilities, and contexts of the people using them. A central theme to her research is the development of ambient zero-effort technologies – technologies that blend into people’s environments and operate with little or no perceived effort.

Associated articles

TNSRE, Featured Articles
Age-Related Changes in Vibro-Tactile EEG Response and Its Implications in BCI Applications: A Comparison Between Older and Younger Populations
    The rapid increase in the number of older adults around the world is accelerating research in applications to support age-related conditions, such as brain–computer interface (BCI) applications for post-stroke neurorehabilitation. The signal processing algorithms for electroencephalogram (EEG) and other physiological... Read more
JTEHM, Articles, Published Articles
Unobtrusive Detection of Simulated Orthostatic Hypotension and Supine Hypertension using Ballistocardiogram and Electrocardiogram of Healthy Adults
Effective management of neurogenic orthostatic hypotension and supine hypertension (SH-OH) due autonomic failure requires a frequent and timely adjustment of medication throughout the day to maintain the blood pressure (BP) within the normal range, i.e., an accurate depiction of BP... Read more
JTEHM, Articles
Quantification of Resting of Resting-state Ballistocardiogram Difference between Clinical and Non-clinical Populations for Ambient Monitoring of Heart Failure
A ballistocardiogram (BCG) is a versatile bio-signal that enables ambient remote monitoring of heart failure (HF) patients in a home setting, achieved through embedded sensors in the surrounding environment. Numerous methods of analysis are available for extracting physiological information using... Read more