AI in Telemedicine

Remote Patient Monitoring

Vital Sign Extraction

class VitalSignProcessor:
    def __init__(self, sampling_rate=250):
        self.fs = sampling_rate

    def extract_heart_rate(self, ppg_signal):
        from scipy.signal import find_peaks
        peaks, _ = find_peaks(ppg_signal, distance=int(0.3 * self.fs))
        rr_intervals = np.diff(peaks) / self.fs
        return 60.0 / np.mean(rr_intervals)

    def extract_spo2(self, red_signal, ir_signal):
        r_ratio = np.mean(red_signal) / np.mean(ir_signal)
        return np.clip(110.0 - 25.0 * r_ratio, 70, 100)

Symptom Triage Chatbots

Multi-Turn Dialogue Protocol

1. Chief complaint identification
2. Symptom severity assessment
3. Duration and progression
4. Associated symptoms
5. Medical history review
6. Triage recommendation

Video Analysis for Diagnostics

Gait Analysis

class GaitAnalyzer:
    def analyze(self, pose_sequence):
        landmarks = self._extract_landmarks(pose_sequence)
        return {
            'stride_length': self._compute_stride(landmarks),
            'cadence': self._compute_cadence(landmarks),
            'symmetry_index': self._compute_symmetry(landmarks)
        }

Evaluation