Assessment of an under-mattress sensor as a seizure detection tool in an adult epilepsy monitoring unit

Nouboue, Carole; Selfi, Sarah; Diab, Eva; Chen, Simone; Périn, Bertille; Szurhaj, William

doi:10.1016/j.seizure.2023.01.005

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…A recent retrospective study of 55 adult patients confirmed a lower sensitivity than that provided by wearables, at 78%. FAR was very low, at 0.007 per day [40 ▪ ].…”

Section: Non-eeg Based Seizure Detectionmentioning

confidence: 89%

Ambulatory seizure detection

Bernini,

Dan,

Ryvlin

2024

Current Opinion in Neurology

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Purpose of review To review recent advances in the field of seizure detection in ambulatory patients with epilepsy. Recent findings Recent studies have shown that wrist or arm wearable sensors, using 3D-accelerometry, electrodermal activity or photoplethysmography, in isolation or in combination, can reliably detect focal-to-bilateral and generalized tonic-clonic seizures (GTCS), with a sensitivity over 90%, and false alarm rates varying from 0.1 to 1.2 per day. A headband EEG has also demonstrated a high sensitivity for detecting and help monitoring generalized absence seizures. In contrast, no appropriate solution is yet available to detect focal seizures, though some promising findings were reported using ECG-based heart rate variability biomarkers and subcutaneous EEG. Summary Several FDA and/or EU-certified solutions are available to detect GTCS and trigger an alarm with acceptable rates of false alarms. However, data are still missing regarding the impact of such intervention on patients’ safety. Noninvasive solutions to reliably detect focal seizures in ambulatory patients, based on either EEG or non-EEG biosignals, remain to be developed. To this end, a number of challenges need to be addressed, including the performance, but also the transparency and interpretability of machine learning algorithms.

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“…A recent retrospective study of 55 adult patients confirmed a lower sensitivity than that provided by wearables, at 78%. FAR was very low, at 0.007 per day [40 ▪ ].…”

Section: Non-eeg Based Seizure Detectionmentioning

confidence: 89%

Ambulatory seizure detection

Bernini,

Dan,

Ryvlin

2024

Current Opinion in Neurology

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“…There is a growing interest in the investigation of sensors put into or beneath mattresses for applications such as bed fall detection, sleep posture monitoring, chest activity tracking, seizure detection, and sleep disorder diagnosis. According to [3][4][5][6][7][8], some studies focused on detecting vibration levels to detect heart failure symptoms, while other studies included microphones to diagnose illnesses such as snoring and sleep apnea. However, none investigated the possibility of a novel pressure mapping system employing a specialized sensor sheet to detect maximum pressure and predict the danger of pressure damage.…”

Section: Introductionmentioning

confidence: 99%

A Novel Elastic Sensor Sheet for Pressure Injury Monitoring: Design, Integration, and Performance Analysis

Mohammad Amini,

Farajzadeh Devin,

Alves

et al. 2023

Electronics

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This study presents the SENSOMATT sensor sheet, a novel, non-invasive pressure monitoring technology intended for placement beneath a mattress. The development and design process of the sheet, which includes a novel sensor arrangement, material selection, and incorporation of an elastic rubber sheet, is investigated in depth. Highlighted features include the ability to adjust to varied mattress sizes and the incorporation of AI technology for pressure mapping. A comparison with conventional piezoelectric contact sensor sheets demonstrates the better accuracy of the SENSOMATT sensor for monitoring pressures beneath a mattress. The report highlights the sensor network’s cost-effectiveness, durability, and enhanced data measurement, alongside the problems experienced in its design. Evaluations of performance under diverse settings contribute to a full understanding of its potential pressure injury prediction and patient care applications. Proposed future paths for the SENSOMATT sensor sheet include clinical validation, more cost and performance improvement, wireless connection possibilities, and improved long-term monitoring data analysis. The study concludes that the SENSOMATT sensor sheet has the potential to transform pressure injury prevention techniques in healthcare.

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