Experimental Assessment of Sleep-Related Parameters by Passive Infrared Sensors: Measurement Setup, Feature Extraction, and Uncertainty Analysis

• Published in: Sensors (Basel, Switzerland) Vol. 19; no. 17; p. 3773
• Main Authors: Casaccia, Sara, Braccili, Eleonora, Scalise, Lorenzo, Revel, Gian Marco
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 31.08.2019; MDPI
• Subjects: Aging; Algorithms; Blood pressure; Cognitive ability; Dementia; Efficiency; Eye movements; home measurements; Humans; Older people; PIR sensor; Respiration; Sensors; Sleep - physiology; Sleep disorders; sleep efficiency; Sleep Initiation and Maintenance Disorders - physiopathology; sleep interruptions; sleep latency; sleep-related parameters; time to wake; Uncertainty; sleep efficiency; sleep interruptions; sleep latency; time to wake; sleep-related parameters; PIR sensor; home measurements
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s19173773

A simple sleep monitoring measurement method is presented in this paper, based on a simple, non-invasive motion sensor, the Passive InfraRed (PIR) motion sensor. The easy measurement set-up proposed is presented and its performances are compared with the ones provided by a commercial, ballistocardiographic bed sensor, used as reference tool. Testing was conducted on 25 nocturnal acquisitions with a voluntary, healthy subject, using the PIR-based proposed method and the reference sensor, simultaneously. A dedicated algorithm was developed to correlate the bed sensor outputs with the PIR signal to extract sleep-related features: sleep latency (SL), sleep interruptions (INT), and time to wake (TTW). Such sleep parameters were automatically identified by the algorithm, and then correlated to the ones computed by the reference bed sensor. The identification of these sleep parameters allowed the computation of an important, global sleep quality parameter: the sleep efficiency (SE). It was calculated for each nocturnal acquisition and then correlated to the SE values provided by the reference sensor. Results show the correlation between the SE values monitored with the PIR and the bed sensor with a robust statistic confidence of 4.7% for the measurement of SE (coverage parameter k = 2), indicating the validity of the proposed, unobstructive approach, based on a simple, small, and low-cost sensor, for the assessment of important sleep-related parameters.