Patient State
Calm
stable
Motion Rhythm
0.4 Hz
Seizure Risk
4 %
Episodes Today
0
0 false positives
Monitoring
14h 02m
uptime
Sensitivity
High
2.5 Hz band
📊 CSI Motion Energy
amplituderhythmic band
💉 Risk Index
Rhythmicity0.12
Limb symmetry0.31
Episode duration—
🧩 Event Mix (24h)
📱 Vitals Snapshot
72
heart bpm
15
resp /min
98
est. SpO₂
Low
movement
🔒 System Status
DetectorArmed
CSI linkStable
Sample rate100 Hz
Alert channelCaregiver + 911
Modelrhythm-net v3
🏃 Real-time Motion Waveform
100 Hz⏱ Rhythmicity
Dominant frequency0.4 Hz
Band power (2.5–5 Hz)0.08
📡 Frequency Spectrum
0–8 Hz🡒 Limb Symmetry
Left / right correlation0.30
🌡 Motion Intensity Heatmap
limb × timerows: left-arm · right-arm · left-leg · right-leg · torso
Avg Episode
38 s
last 30 days
Peak Risk (30d)
94 %
on day 12
False Positives
2
0.4% rate
Detection Latency
1.8 s
median
📅 Episodes per Day
14 days📐 Episode Duration Distribution
🌡 Risk by Hour × Day
7×24🧩 Episode Severity
Tonic-clonic71%
Myoclonic22%
Indeterminate7%
📋 Event Log
All
| Time | Event | Severity | Detail |
|---|
🔔 Live Stream
tail🎛 Detection Tuning
82%
Higher sensitivity detects subtler rhythmic motion (more false positives).
2.5 Hz
8 s
🔔 Alerts & Routing
Emergency dispatch (911)
Auto-call on confirmed tonic-clonic
Caregiver SMS
+1 (555) 014-8829
Record raw CSI on event
30 s pre/post buffer
Night mode
Suppress non-critical alerts 22:00–07:00
📋 Cog Details
DescriptionDetects tonic-clonic seizures through analysis of rhythmic involuntary motion patterns in CSI data. Triggers immediate alerts.
Events
HardwareESP32-S3
InputCSI motion
Versionv1.0.0 · 20 KB · Hard