Movement detection with adaptive window length for unobtrusive bed-based pressure-sensor array

Gilakjani, S. Soleimani; Bennett, Stephanie L.; Goubran, Rafik; Azimi, Hilda; Bouchard, M.; Knoefel, Frank

doi:10.1109/memea.2017.7985902

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Pressure sensitive mats (PSM) adopted in this article can capture movement and breathing information while placed beneath a mattress [9], [10]. In [11], the validation and the assessment of PSM reliability for CSA detection were presented, with a comparison to PSG data by applying a simple decision threshold method.…”

Section: Related Workmentioning

confidence: 99%

Unobtrusive Screening of Central Sleep Apnea From Pressure Sensors Measurements: A Patient-Specific Longitudinal Study

Azimi

Bouchard

Goubran

et al. 2020

IEEE Trans. Instrum. Meas.

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Historically, the lack of patients' sleep histories has caused low identification of sleep apnea (SA) and referral rates. Moreover, the costly and time-consuming nature of polysomnography (PSG) as a standard clinical test for detecting SA and the lack of sleep clinics has created a demand for suitable home-based monitoring devices. Pressure measurement using a pressure sensitive mat (PSM) can address the challenges found in current sleep-monitoring solutions. The noncontact PSM has a potential to replace obtrusive breathing sensors in the sleep lab and to be used as a prescreening tool for patients suspected of having SA. Applying classical support vector machine (SVM), this article presents a personalized system based on the measurements of each patient to detect central SA (CSA) events and monitor sleep characteristics longitudinally. For this purpose, sensor set-ups were installed in nine seniors' homes to collect unsupervised pressure data in approximately one year ranging from 8 to 12 months. Cost-based and resampling-based approaches were examined to combat imbalanced data. The results showed that the cost-based method outperformed other methods. Next, the patient-specific system was used to determine the total number of CSA events, as well as their starting time and duration in each day. The SA severity was measured by the central apnea index (CAI). In addition, other sleep characteristics such as bed occupancy (BO), day clock, and night clock were extracted from the PSM measurements. The impact of longitudinal sleep monitoring could be in tracking SA treatment progression, and possibly providing information on the interaction between SA and other disease progressions.

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Section: Related Workmentioning

confidence: 99%

Unobtrusive Screening of Central Sleep Apnea From Pressure Sensors Measurements: A Patient-Specific Longitudinal Study

Azimi

Bouchard

Goubran

et al. 2020

IEEE Trans. Instrum. Meas.

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“…In cases where the pressure sensitive mat covers all parts of the body, a subset of sensors must be selected. A number of algorithms have been proposed to estimate the breathing rate using only a selected range of sensors [36], [55], [56]. These sensel selection strategies include the assessment of sensor signal variability using a sliding window and computing the reliability metric of a given sensor for breathing rate estimation.…”

Section: Discussionmentioning

confidence: 99%

Development of a Novel Pressure-Sensitive Mat Using Proximity Sensors

Selzler¹

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I would like to thank my wife, Eli Angela Dalla Valle, for all the support and patience throughout my master's study. Without her unconditional help and support it would not be possible to even start this important step in my career. Special thanks to Dr. James R. Green, who guided me through the program and provided all the important insights for the master's program and also during my stay at Carleton University. The support in our meetings and by email was essential to the advancement of this research. Finally, thank you for considering international students and for fighting for their academic successes. Special thanks to Dr. Rafik Goubran, who guided me into the research world and provided opportunities to work with world-class research agencies such as AgeWell. Also for guiding me throughout the courses and challenges of the academic life, giving me support and advising me on the path of knowledge.

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Sensor Assessment of Time in Bed on Caregiver Burden for Person Living with Cognitive Impairment

Chimehi,

Larivière-Chartier,

Wallace

et al. 2024

2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

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Movement detection with adaptive window length for unobtrusive bed-based pressure-sensor array

Cited by 4 publications

References 9 publications

Unobtrusive Screening of Central Sleep Apnea From Pressure Sensors Measurements: A Patient-Specific Longitudinal Study

Unobtrusive Screening of Central Sleep Apnea From Pressure Sensors Measurements: A Patient-Specific Longitudinal Study

Development of a Novel Pressure-Sensitive Mat Using Proximity Sensors

Sensor Assessment of Time in Bed on Caregiver Burden for Person Living with Cognitive Impairment

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