Your browser doesn't support javascript.
loading
Prospective multicenter study of continuous tonic-clonic seizure monitoring on Apple Watch in epilepsy monitoring units and ambulatory environments.
Shah, Samyak; Gonzalez Gutierrez, Erie; Hopp, Jennifer L; Wheless, James; Gil-Nagel, Antonio; Krauss, Gregory L; Crone, Nathan E.
Afiliação
  • Shah S; Johns Hopkins University, Department of Neurology, United States.
  • Gonzalez Gutierrez E; Johns Hopkins University, Department of Neurology, United States.
  • Hopp JL; University of Maryland Medical Center, United States.
  • Wheless J; Le Bonheur Children's Hospital, United States.
  • Gil-Nagel A; Hospital Ruber Internacional, Madrid, Spain.
  • Krauss GL; Johns Hopkins University, Department of Neurology, United States.
  • Crone NE; Johns Hopkins University, Department of Neurology, United States. Electronic address: ncrone@jhmi.edu.
Epilepsy Behav ; 158: 109908, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38964183
ABSTRACT

OBJECTIVE:

Evaluate the performance of a custom application developed for tonic-clonic seizure (TCS) monitoring on a consumer-wearable (Apple Watch) device.

METHODS:

Participants with a history of convulsive epileptic seizures were recruited for either Epilepsy Monitoring Unit (EMU) or ambulatory (AMB) monitoring; participants without epilepsy (normal controls [NC]) were also enrolled in the AMB group. Both EMU and AMB participants wore an Apple Watch with a research app that continuously recorded accelerometer and photoplethysmography (PPG) signals, and ran a fixed-and-frozen tonic-clonic seizure detection algorithm during the testing period. This algorithm had been previously developed and validated using a separate training dataset. All EMU convulsive events were validated by video-electroencephalography (video-EEG); AMB events were validated by caregiver reporting and follow-ups. Device performance was characterized and compared to prior monitoring devices through sensitivity, false alarm rate (FAR; false-alarms per 24 h), precision, and detection delay (latency).

RESULTS:

The EMU group had 85 participants (4,279 h, 19 TCS from 15 participants) enrolled across four EMUs; the AMB group had 21 participants (13 outpatient, 8 NC, 6,735 h, 10 TCS from 3 participants). All but one AMB participant completed the study. Device performance in the EMU group included a sensitivity of 100 % [95 % confidence interval (CI) 79-100 %]; an FAR of 0.05 [0.02, 0.08] per 24 h; a precision of 68 % [48 %, 83 %]; and a latency of 32.07 s [standard deviation (std) 10.22 s]. The AMB group had a sensitivity of 100 % [66-100 %]; an FAR of 0.13 [0.08, 0.24] per 24 h; a precision of 22 % [11 %, 37 %]; and a latency of 37.38 s [13.24 s]. Notably, a single AMB participant was responsible for 8 of 31 false alarms. The AMB FAR excluding this participant was 0.10 [0.07, 0.14] per 24 h.

DISCUSSION:

This study demonstrates the practicability of TCS monitoring on a popular consumer wearable (Apple Watch) in daily use for people with epilepsy. The monitoring app had a high sensitivity and a substantially lower FAR than previously reported in both EMU and AMB environments.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Convulsões / Monitorização Ambulatorial / Dispositivos Eletrônicos Vestíveis Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Convulsões / Monitorização Ambulatorial / Dispositivos Eletrônicos Vestíveis Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article