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AI Wearable Health Monitoring

Healthcare AIWearable Health AI🟒 Free Lesson

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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

StageEEG Pattern
WakeAlpha/Beta
N1Theta, vertex waves
N2Sleep spindles, K-complexes
N3Delta waves
REMLow 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)

Physical Activity Recognition

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