Z. Beattie

发表

Algorithm for automatic beat detection of cardiovascular pressure signals

Z. Beattie, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Classification of breathing events using load cells under the bed

Misha Pavel, Tamara L. Hayes, Zachary T. Beattie, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Using load cells under the bed as a non-contact method for detecting periodic leg movements

Tamara L. Hayes, Andre Gustavo Adami, Zachary T. Beattie, 2014 .

Unobtrusive detection of breathing using load cells and the application to sleep apnea detection

Z. Beattie, 2013 .

When will my patient fall? Sensor-based in-home walking speed identifies future falls in older adults.

J. Kaye, H. Dodge, N. Mattek, 2019, The journals of gerontology. Series A, Biological sciences and medical sciences.

Sensing a problem: Proof of concept for characterizing and predicting agitation

Wan-Tai M. Au-Yeung, J. Kaye, H. Dodge, 2020, Alzheimer's & dementia.

Unobtrusive, in-home assessment of older adults’ everyday activities and health events: associations with cognitive performance over a brief observation period

J. Kaye, N. Mattek, Z. Beattie, 2021, Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition.

Subtle Changes in Medication-taking Are Associated With Incident Mild Cognitive Impairment

J. Kaye, N. Mattek, Z. Beattie, 2021, Alzheimer disease and associated disorders.

Association Between Mild Cognitive Impairment and Seasonal Rest-Activity Patterns of Older Adults

Miranda M. Lim, J. Kaye, H. Dodge, 2022, Frontiers in Digital Health.

In-Home Mobility Frequency and Stability in Older Adults Living Alone With or Without MCI: Introduction of New Metrics

Hiroko H. Dodge, Jeffrey A. Kaye, Nora Mattek, 2021, Frontiers in Digital Health.

An Ecologically Valid, Longitudinal, and Unbiased Assessment of Treatment Efficacy in Alzheimer Disease (the EVALUATE-AD Trial): Proof-of-Concept Study

J. Kaye, H. Dodge, N. Mattek, 2020, JMIR research protocols.

Feasibility of In-Home Sensor Monitoring to Detect Mild Cognitive Impairment in Aging Military Veterans: Prospective Observational Study

Adriana M. Seelye, Thomas C. Riley, J. Kaye, 2020, JMIR formative research.

Age Predicts Older Adults’ Driving Self-Regulation but Not Dangerous Driving Behaviors after Controlling for Executive Function

J. Kaye, N. Mattek, Z. Beattie, 2021, Gerontology.

Estimation of sleep stages in a healthy adult population from optical plethysmography and accelerometer signals

Z Beattie, C. Heneghan, A. Ghoreyshi, 2017, Physiological measurement.

The Collaborative Aging Research Using Technology Initiative: An Open, Sharable, Technology-Agnostic Platform for the Research Community

Sarah Gothard, Sara Czaja, Hiroko H. Dodge, 2020, Digital Biomarkers.

Accurate scoring of the apnea–hypopnea index using a simple non‐contact breathing sensor

Christian Guilleminault, C. Guilleminault, T. Hayes, 2013, Journal of sleep research.

Passively-Measured Routine Home Computer Activity and Application Use Can Detect Mild Cognitive Impairment and Correlate with Important Cognitive Functions in Older Adulthood.

J. Kaye, N. Mattek, Z. Beattie, 2021, Journal of Alzheimer's disease : JAD.

Feasibility of In-Home Sensor Monitoring to Detect Mild Cognitive Impairment in Aging Military Veterans: Prospective Observational Study (Preprint)

Adriana M. Seelye, Thomas C. Riley, J. Kaye, 2019 .

Home-Based Assessment of Cognition and Health Measures: The Collaborative Aging Research Using Technology (CART) Initiative and International Collaborations

Scott Hofer, Jeffrey Kaye, Zachary T. Beattie, 2021, IEEE Instrumentation & Measurement Magazine.

Older Adults’ Daily Activity and Mood Changes Detected During the COVID-19 Pandemic Using Remote Unobtrusive Monitoring Technologies

J. Kaye, H. Dodge, N. Mattek, 2021, Innovation in aging.

Intrinsic Capacitiy Monitoring by Digital Biomarkers in Integrated Care For Older People (ICOPE)

J. Kaye, M. Cesari, B. Vellas, 2020, The Journal of Frailty & Aging.

An Ecologically Valid, Longitudinal, and Unbiased Assessment of Treatment Efficacy in Alzheimer Disease (the EVALUATE-AD Trial): Proof-of-Concept Study (Preprint)

J. Kaye, H. Dodge, N. Mattek, 2019 .

Unobtrusive Sensing Technology Detects Ecologically Valid Spatiotemporal Patterns of Daily Routines Distinctive to Persons with Mild Cognitive Impairment.

Miranda M. Lim, J. Kaye, H. Dodge, 2021, The journals of gerontology. Series A, Biological sciences and medical sciences.

Step Count Standardization: Validation of Step Counts from the Withings Activite using PiezoRxD and wGT3X-BT

Wan-Tai M. Au-Yeung, Jeffrey A. Kaye, Zachary Beattie, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data.

Charlie Quinn, Nora Mattek, Jeffrey Kaye, 2018, Journal of visualized experiments : JoVE.

Unobtrusive classification of sleep and wakefulness using load cells under the bed

Daniel Austin, Tamara L. Hayes, Zachary T. Beattie, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Correlating continuously captured home-based digital biomarkers of daily function with postmortem neurodegenerative neuropathology

J. Kaye, H. Dodge, N. Mattek, 2023, PloS one.

Preferences of NIA Alzheimer's Disease Research Center participants regarding remote assessment during the COVID‐19 pandemic

J. Kaye, N. Mattek, Z. Beattie, 2022, Alzheimer's & Dementia.

Life activity patterns and mild cognitive impairment in older adults

J. Kaye, H. Dodge, N. Mattek, 2021, Alzheimer's & dementia : the journal of the Alzheimer's Association.

Can Remote Monitoring Measure Life Activity and Caregiver Experience? Early Results of Multi-modal Assessments

J. Kaye, A. Lindauer, Z. Beattie, 2021, Innovation in aging.

A system for assessment of limb movements in sleep

Tamara L. Hayes, André Adami, Andre Gustavo Adami, 2013, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013).

Gaussian model for movement detection during Sleep

Misha Pavel, Tamara L. Hayes, André Adami, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Prolonged Physical Inactivity in Older Adult Couples: A Dyadic Analysis Using Actigraphy

J. Kaye, L. Silbert, L. Miller, 2020, Innovation in aging.

Estimation of sleep stages in a healthy adult population from optical plethysmography and accelerometer signals

C. Heneghan, A. Ghoreyshi, Z. Beattie, 2017, Physiological measurement.

Mood and activity changes during the COVID-19 pandemic in rural and urban Veterans and their cohabitants

J. Kaye, H. Dodge, N. Mattek, 2022, Clinical Gerontologist.

Reproducibility and replicability of high‐frequency, in‐home digital biomarkers in reducing sample sizes for clinical trials

J. Kaye, H. Dodge, N. Mattek, 2021, Alzheimer's & dementia.

Monitoring Behaviors of Patients With Late-Stage Dementia Using Passive Environmental Sensing Approaches: A Case Series.

Wan-Tai M. Au-Yeung, D. Katabi, J. Kaye, 2021, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.