AI Wearable Health Monitoring
Heart Rate Variability (HRV)
Time-Domain
Frequency-Domain
class HRVAnalyzer:
def time_domain(self, rr_intervals):
rr = rr_intervals / 1000
return {'SDNN': np.std(rr), 'RMSSD': np.sqrt(np.mean(np.diff(rr) ** 2)),
'pNN50': np.sum(np.abs(np.diff(rr)) > 0.050) / len(rr) * 100}
Sleep Staging
| Stage | EEG Pattern |
|---|---|
| Wake | Alpha/Beta |
| N1 | Theta, vertex waves |
| N2 | Sleep spindles, K-complexes |
| N3 | Delta waves |
| REM | Low amplitude, mixed frequency |
class SleepStager(nn.Module):
def __init__(self, n_features=10, n_classes=5):
super().__init__()
self.lstm = nn.LSTM(n_features, 64, num_layers=2, batch_first=True, bidirectional=True)
self.classifier = nn.Linear(128, n_classes)