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[69] L. Ault, R. Goubran, B. Wallace, H. Lowden, and F. Knoefel,
" Smart home technology solution for nighttime wandering in
persons with dementia, " J. Rehabil. Assist. Technol. Eng., 2020.
[70] B. Wallace, T. N. E. Harake, R. Goubran, N. Valech, and F. Knoefel,
" Preliminary results for measurement and classification of
overnight wandering by dementia patient using multi-sensors, "
in Proc. 2018 IEEE Int. Instrum. Meas. Technol. Conf. (I2MTC), pp.
1-6, May 2018.
[71] H.-C. Chou and W.-H. Hsieh, " Remote monitoring and control
smart floor for detecting falls and wandering patterns in people
with dementia, " J. Intell. Fuzzy Syst., vol. 36, no. 2, pp. 1323-1331,
Feb. 2019.
[72] B. Wallace et al., " Detecting cognitive ability changes in patients
with moderate dementia using a modified 'whack-a-mole'
game, " IEEE Trans. Instrum. Meas., vol. 67, no. 7, pp. 1521-1534,
Jul. 2018.
[73] F. Knoefel et al., " Implementation of a brain training pilot study
for people with mild cognitive impairment, " Can. Geriatr. J., vol.
21, no. 3, pp. 264-268, 2018.
[74] B. Wallace, R. Goubran, F. Knoefel, M. Petriu, and A. McAvoy,
" Design of games for measurement of cognitive impairment, " in
Proc. IEEE-EMBS Int. Conf. Biomed. Health Informatics (BHI), pp.
117-120, Jun. 2014.
[75] D. Moreno-Blanco et al., " Technologies for monitoring lifestyle
habits related to brain health: a systematic review, " Sensors, vol.
19, no. 19, Sep. 2019.
[76] B. Wallace, R. Goubran, and F. Knoefel, " Cognition assessment:
a framework for episodic measurement, " in Proc. 2016 IEEE Int.
Symp. Medical Meas. Applications (MeMeA), pp. 1-6, May 2016.
[77] S. Casaccia et al., " Measurement of users' well-being through
domotic sensors and machine learning algorithms, " IEEE Sens. J.,
vol. 20, no. 14, pp. 8029-8038, Jul. 2020.
[78] A. Monteriù et al., " A smart sensing architecture for domestic
monitoring: methodological approach and experimental
validation, " Sensors, vol. 18, no. 7, Jul. 2018.
[79] S. Casaccia et al., " Health@Home: pilot cases and preliminary
results : integrated residential sensor network to promote the
active aging of real users, " in Proc. 2018 IEEE Int. Symp. Medical
Meas. Applications (MeMeA), pp. 1-6, Jun. 2018.
[80] B. Wallace, F. Knoefel, R. Goubran, R. A. L. Zunini, Z. Ren, and A.
Maccosham, " EEG/ERP: within episodic assessment framework
for cognition, " IEEE Trans. Instrum. Meas., vol. 66, no. 10, pp.
2525-2534, Oct. 2017.
[81] E. Lagerspetz et al., " Pervasive data science on the edge, " IEEE
Pervasive Comput., vol. 18, no. 3, pp. 40-49, Jul. 2019.
[82] R. B. Wallace, F. Horsfall, R. Goubran, A. El-Haraki, and F.
Knoefel, " The challenges of connecting smart home health
sensors to cloud analytics, " in 2019 IEEE Sensors Applications
Symp. (SAS), pp. 1-5, Mar. 2019.
Stephanie Bennett (sbennett@sce.carleton.ca) is currently
working on her second postdoctoral fellowship at Dalhousie
University, Halifax, NS, Canada after recently completing a
Mitacs Accelerate industrial postdoctoral fellowship through
Carleton University, Ottawa, ON, Canada. She received her
B.Eng. degree in mechanical engineering from Dalhousie
University in 2010 and then received her M.A.Sc. degree in
biomedical engineering and her Ph.D. degree in computer and
systems engineering from Carleton University, in 2014 and
2019, respectively. Her academic focus is on the extraction of
biosignals from ambient sensors.
Madison Cohen-McFarlane (madison.mcfarlane@sce.carleton.ca)
is a Ph.D. degree candidate in biomedical engineering
in the Department of Systems and Computer Engineering at
Carleton University, Ottawa, ON, Canada. She received her
B.Eng. degree in biomedical engineering from the University
of Guelph in 2015 and her M.A.Sc. from Carleton University
in 2017. Her current research includes remote monitoring
methods aimed at improving long-term care of older adults
at home, specifically the integration of multiple sensors to
monitor non-speech related human sounds. She is a graduate
student member of the IEEE IMS.
Bruce Wallace (wally@sce.carleton.ca) is Executive Director
of AGE-WELL Sensors and Analytics for Monitoring Mobility
and Memory National Innovation Hub, Adjunct Research
Professor with the Systems and Computer Engineering Department,
Carleton University, Ottawa, ON, Canada and an
Affiliated Researcher with the Bruyère Research Institute. He
has over 20 years of experience in the high technology sector.
His current research interests include the application of sensors,
signal processing, and big data analytics to cognition
measurement with a specific focus on the cognition issues associated
with aging and older adults. He is a Senior Member
of the IEEE.
Rafik Goubran is Vice-President (Research and International)
and Chancellor's Professor at Carleton University, Ottawa,
ON, Canada. He received his Ph.D. degree from Carleton University
in 1987. His research expertise is sensor applications,
real-time data analytics, and patient monitoring. Dr. Goubran
is a life fellow of the IEEE, a fellow of the Canadian Academy
of Engineering, a member of the Association of Professional
Engineers of Ontario, and an affiliate investigator with the
Bruyere Research Institute.
Frank Knoefel is a Physician at the Bruyère Memory Program,
Ottawa, ON, Canada and Researcher affiliated with
the Bruyère Research Institute and Carleton University.
His research expertise is the use of sensors and data analytics
in facilitating aging in place. Besides his M.D. degree,
he holds a bachelor of science and master's of public administration
degrees and a Fellowship and Diploma in
Care of the Elderly with the College of Family Physicians
of Canada.
88
IEEE Instrumentation & Measurement Magazine
September 2021
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