Core Technology
No Matter Where You Are, Make Care Without Distance
Technical Advantage: BCG Signal Acquisition and Analysis
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Ballistocardiograph (BCG)
When the heart ejects blood, subtle changes in body weight occur. LANGZHI’s medical-grade piezoelectric thin-film sensors can capture these gravitational shifts, forming a ballistocardiogram (BCG). By analyzing BCG-derived parameters, such as heart rate, respiration, and body movement—through a multi-parameter hierarchical model, we assess all-night sleep quality, sleep apnoea, HRV, and cardiac health.
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BCG-Based Heart Rate Variability (HRV) Analysis
Variations in the time intervals between adjacent BCG wave peaks reflect heart rate variability (HRV). The fluctuation in JJ-intervals (BCG) mirrors RR-intervals (ECG), driven by sympathetic and parasympathetic nervous activity. Using BCG signals, we:
Apply filtering, Fast Fourier Transform (FFT), and autocorrelation feature extraction to pinpoint J-wave peaks.
Generate time-series data.
Compute all-night HRV metrics and nonlinear analyses of prolonged continuous monitoring.
BCG-Driven Physiological Analytics
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Cardiac Health
Extract time/frequency-domain and nonlinear features from BCG signals across arrhythmia types.
Deploy machine learning to automatically identify premature ventricular contractions (PVCs) and atrial fibrillation (A-Fib), enabling early detection and follow-up after medical treatment.
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Heart Rate Variability (HRV)
Derive parameters (SDNN, RMSSD, LF/HF, SD1/SD2) from heartbeat intervals.
Monitor emotional stress, stress resilience, fatigue recovery, cardiac stress tolerance, and autonomic balance.
Enable timely intervention and health management.
Assist to achieve disease prevention, early screening of illnesses, chronic disease management, and remote consultation.