Vamshi K. Muvvala , Avidor B. Kazen , Tyler J. Newton , Zoë Tosi , Michael Elwood , Mark J. Lehmkuhle , Tobias Loddenkemper , Mark C. Spitz , Laura Strom , Daniel Friedman , Mitchell A. Frankel
{"title":"一种新型无线可穿戴脑电图传感器的信号质量和可用性对比分析","authors":"Vamshi K. Muvvala , Avidor B. Kazen , Tyler J. Newton , Zoë Tosi , Michael Elwood , Mark J. Lehmkuhle , Tobias Loddenkemper , Mark C. Spitz , Laura Strom , Daniel Friedman , Mitchell A. Frankel","doi":"10.1016/j.cnp.2025.05.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>This study details the design, efficacy, and usability of a novel wearable, wireless electroencephalography (EEG) sensor designed for extended-duration clinical monitoring in any environment.</div></div><div><h3>Methods</h3><div>Simultaneous EEG recordings from REMI sensors and a conventional scalp-EEG recording system were conducted across two cohorts: 1) participants undergoing routine epilepsy seizure monitoring and 2) healthy volunteers performing tasks to induce common EEG artifacts. Comparative time and spectral-based analyses were conducted between the recording modalities. Sensor usability was also evaluated.</div></div><div><h3>Results</h3><div>The temporal dynamics and signal morphology of artifacts and electrographic seizures were visually similar between the REMI sensor and conventional scalp-EEG. Additionally, spectral correlation between the two systems was high across all event types, ranging from 0.86 to 0.94. Patient-reported acceptance was also strong, with 69% of participants rating the sensors as comfortable to wear.</div></div><div><h3>Conclusions</h3><div>The REMI sensor showed strong agreement with conventional scalp-EEG in the signal characteristics of physiological artifacts and electrographic seizures. The positive comfort feedback further supports the REMI sensors’ everyday utility.</div></div><div><h3>Significance</h3><div>Although limited in electrode coverage compared to conventional scalp-EEG recording systems, the REMI sensor records comparable high-fidelity EEG data in both time and spectral domains. REMI sensor’s recording quality and wearability facilitate extended-duration monitoring in everyday environments.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 292-300"},"PeriodicalIF":2.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative analysis of signal quality and usability for a novel wireless, wearable EEG sensor\",\"authors\":\"Vamshi K. Muvvala , Avidor B. Kazen , Tyler J. Newton , Zoë Tosi , Michael Elwood , Mark J. Lehmkuhle , Tobias Loddenkemper , Mark C. Spitz , Laura Strom , Daniel Friedman , Mitchell A. Frankel\",\"doi\":\"10.1016/j.cnp.2025.05.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>This study details the design, efficacy, and usability of a novel wearable, wireless electroencephalography (EEG) sensor designed for extended-duration clinical monitoring in any environment.</div></div><div><h3>Methods</h3><div>Simultaneous EEG recordings from REMI sensors and a conventional scalp-EEG recording system were conducted across two cohorts: 1) participants undergoing routine epilepsy seizure monitoring and 2) healthy volunteers performing tasks to induce common EEG artifacts. Comparative time and spectral-based analyses were conducted between the recording modalities. Sensor usability was also evaluated.</div></div><div><h3>Results</h3><div>The temporal dynamics and signal morphology of artifacts and electrographic seizures were visually similar between the REMI sensor and conventional scalp-EEG. Additionally, spectral correlation between the two systems was high across all event types, ranging from 0.86 to 0.94. Patient-reported acceptance was also strong, with 69% of participants rating the sensors as comfortable to wear.</div></div><div><h3>Conclusions</h3><div>The REMI sensor showed strong agreement with conventional scalp-EEG in the signal characteristics of physiological artifacts and electrographic seizures. The positive comfort feedback further supports the REMI sensors’ everyday utility.</div></div><div><h3>Significance</h3><div>Although limited in electrode coverage compared to conventional scalp-EEG recording systems, the REMI sensor records comparable high-fidelity EEG data in both time and spectral domains. 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Comparative analysis of signal quality and usability for a novel wireless, wearable EEG sensor
Objective
This study details the design, efficacy, and usability of a novel wearable, wireless electroencephalography (EEG) sensor designed for extended-duration clinical monitoring in any environment.
Methods
Simultaneous EEG recordings from REMI sensors and a conventional scalp-EEG recording system were conducted across two cohorts: 1) participants undergoing routine epilepsy seizure monitoring and 2) healthy volunteers performing tasks to induce common EEG artifacts. Comparative time and spectral-based analyses were conducted between the recording modalities. Sensor usability was also evaluated.
Results
The temporal dynamics and signal morphology of artifacts and electrographic seizures were visually similar between the REMI sensor and conventional scalp-EEG. Additionally, spectral correlation between the two systems was high across all event types, ranging from 0.86 to 0.94. Patient-reported acceptance was also strong, with 69% of participants rating the sensors as comfortable to wear.
Conclusions
The REMI sensor showed strong agreement with conventional scalp-EEG in the signal characteristics of physiological artifacts and electrographic seizures. The positive comfort feedback further supports the REMI sensors’ everyday utility.
Significance
Although limited in electrode coverage compared to conventional scalp-EEG recording systems, the REMI sensor records comparable high-fidelity EEG data in both time and spectral domains. REMI sensor’s recording quality and wearability facilitate extended-duration monitoring in everyday environments.
期刊介绍:
Clinical Neurophysiology Practice (CNP) is a new Open Access journal that focuses on clinical practice issues in clinical neurophysiology including relevant new research, case reports or clinical series, normal values and didactic reviews. It is an official journal of the International Federation of Clinical Neurophysiology and complements Clinical Neurophysiology which focuses on innovative research in the specialty. It has a role in supporting established clinical practice, and an educational role for trainees, technicians and practitioners.