Publications by authors named "Jacob Sindorf"
Article Synopsis
- The study explores the impact of sleep disorders on recovery in poststroke patients and tests actigraphy as a tool for daytime sleep detection.
- Two actigraphy devices, Actiwatch Spectrum and ActiGraph wGT3X-BT, tracked participants' sleep and activity, comparing algorithmic outputs to direct observations.
- Results showed the ActiGraph Cole-Kripke algorithm was more effective in accurately detecting daytime sleep, particularly when participants were in bed, suggesting it may be a better choice for monitoring sleep in stroke rehabilitation.
Study Objectives: To evaluate wearable devices and machine learning for detecting sleep apnea in patients with stroke at an acute inpatient rehabilitation facility (IRF).
Methods: A total of 76 individuals with stroke wore a standard home sleep apnea test (ApneaLink Air), a multimodal, wireless wearable sensor system (ANNE), and a research-grade actigraphy device (ActiWatch) for at least 1 night during their first week after IRF admission as part of a larger clinical trial. Logistic regression algorithms were trained to detect sleep apnea using biometric features obtained from the ANNE sensors and ground truth apnea rating from the ApneaLink Air.
Background And Purpose: Cognitive impairment is a critical health problem in the elderly population. Research has shown that patients with mild cognitive impairment (MCI) may develop dementia in later years. Therefore, early identification of MCI could allow for interventions to help delay the progression of this devastating disease.
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