Assessing the feasibility of digital keypress statistics to detect seizures and capture cognitive impairment in patients with epilepsy: A pilot study DOI

Gabriella Brinkmann,

Andrea Duque-Lopez,

Jie Cui

et al.

Epilepsy & Behavior, Journal Year: 2024, Volume and Issue: 157, P. 109820 - 109820

Published: May 31, 2024

Language: Английский

How accurate do self‐reported seizures need to be for effective medication management in epilepsy? DOI
Daniel M. Goldenholz, Benjamin H. Brinkmann, M. Brandon Westover

et al.

Epilepsia, Journal Year: 2024, Volume and Issue: 65(7)

Published: May 22, 2024

Studies suggest that self-reported seizure diaries suffer from 50% under-reporting on average. It is unknown to what extent this impacts medication management. This study used simulation predict the outcomes of a large heterogeneous clinic population treated with standardized algorithm based seizures. Using CHOCOLATES, state-of-the-art realistic diary simulator, 100 000 patients were simulated over 10 years. A standard for management was employed at 3 month intervals all patients. The impact true rates, expected and time-to-steady-dose computed self-reporting sensitivities 0%-100%. Time-to-steady-dose use mostly did not depend sensitivity. True rate decreased minimally increasing in non-linear fashion, largest decreases low sensitivity rates (0%-10%). suggests an extremely wide range will have similar when are clinically using one presented. Conversely, ≤10% would be benefit (via lower rates) objective devices provide even small improvements

Language: Английский

Citations

2

Effects of epileptic seizures on the quality of biosignals recorded from wearables DOI Creative Commons
Sebastian Böttcher, Nicolas Zabler, Michele Jackson

et al.

Epilepsia, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 7, 2024

Abstract Objective Wearable nonelectroencephalographic biosignal recordings captured from the wrist offer enormous potential for seizure monitoring. However, signal quality remains a challenging factor affecting data reliability. Models trained detection depend on of in peri‐ictal periods performing feature‐based separation ictal interictal periods. Thus, this study aims to investigate effect epileptic seizures quality, ensuring accurate and reliable Methods This assesses wearable during phases generalized tonic–clonic focal bilateral (TCS), motor (FMS), nonmotor (FNMS). We evaluated accelerometer (ACC) activity electrodermal (EDA) blood volume pulse (BVP) data. Additionally, we analyzed influence movements as assessed by ACC (ACC activity) examined intraictal subphases TCS. Results 386 111 individuals three international epilepsy monitoring units. BVP levels differed between all types. found largest decrease increase when comparing phase pre‐ postictal was strongly negatively correlated with TCS FMS, weakly FNMS. Intraictal analysis revealed that tonic clonic have lowest highest activity. Significance Motor elements significantly impair but do not significant EDA wrist‐worn wearables. The results underscore importance assessment methods careful selection robust modalities ensure detection. Future research is needed explain whether models' decisions are based responses induced physiological processes opposed artifacts.

Language: Английский

Citations

1

The value of self-reported variables in epilepsy monitoring and management. A systematic scoping review. DOI Creative Commons
Andrea Biondi, Nicolas Zabler, Sotirios Kalousios

et al.

Seizure, Journal Year: 2024, Volume and Issue: 122, P. 119 - 143

Published: Oct. 9, 2024

Language: Английский

Citations

1

Assessing the feasibility of digital keypress statistics to detect seizures and capture cognitive impairment in patients with epilepsy: A pilot study DOI

Gabriella Brinkmann,

Andrea Duque-Lopez,

Jie Cui

et al.

Epilepsy & Behavior, Journal Year: 2024, Volume and Issue: 157, P. 109820 - 109820

Published: May 31, 2024

Language: Английский

Citations

0