Development of a algorithm for epileptic seizure prediction based on heart rate variability monitoring

Development of a algorithm for epileptic seizure prediction based on heart rate variability monitoring - Development of a algorithm for epileptic seizure prediction based on heart rate variability monitoring

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000029989

Enrollment

1991

Registered

2017-11-16

Start date

2013-07-04

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

epilepsy

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patient who underwent long-term video electroencephalography for epilepsy treatment (prospective) Patients who is going to undergo long-term video electroencephalography for epilepsy treatment between 2001 and 2017 (retrospective) Patients who underwent polysomnography for sleep disorder treatment

Exclusion criteria

Exclusion criteria: No exclusion criteria. However, if it is judged to be exceptional at the time of data analysis, data will be excluded at that point.

Design outcomes

Primary

Measure	Time frame
Psychological prediction performance index of seizure prediction system: sensitivity 95% and false positive frequency 0.1 times / h Evaluation time: From the third week on both index	—

Countries

Japan

Contacts

Public ContactMiho Miyajima

Tokyo Medical and Dental University Medical Hospital Psychosomatic and Palliative Medicine

miholppm@tmd.ac.jp03-5803-5673

Outcome results