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<p>High-frequency electrocardiography (HF-ECG) enhances ischemia detection by capturing microvolt-level changes in the QRS complex; however, clinical adoption requires validating digital systems against Analog standards. We recorded HF-ECG signals simultaneously from 12 healthy subjects (84 beats total) using a five-stage Analog reference (100–500&#xa0;Hz band-pass, gold connectors) and Sydäntek’s 10× capacitive sensors; both outputs were digitized using a Texas Instruments ADS1298. Signals underwent 10× amplification with a low-noise op-amp, the Analog output was scaled to match, and data were processed in PulseTek™ and stored in PulseVault™. Root mean square (RMS), Amplitude, Kurtosis, and Frequency content were compared using Bland–Altman analysis (Analog as the reference); values reported reflect pre-amplified measurements in microvolts (µV). Mean differences between the Analog setup and Sydäntek fell within the 95% limits of agreement (LOA): RMS, 6.39 µV (− 49.74 to 62.52 µV); amplitude, 1.82 µV (− 57.09 to 60.73 µV); kurtosis, 1.93 (− 5.13 to 1.54); and frequency, 2.1&#xa0;Hz (− 5.8 to 6.2&#xa0;Hz), all within a 5% clinical tolerance when scaled 10× (~ 10–20 mV). Sydäntek matched analog fidelity, with frequency peaks near ~ 150&#xa0;Hz, indicating digital HF-ECG performance equivalent to that of the Analog system on key metrics. Its wearable design and cloud integration provide a portable, reliable alternative for ischemia detection with broader clinical applicability.</p>

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Equivalence of analog and digital high-frequency electrocardiogram: validating Sydäntek for ischemia detection

  • 期刊论文

  • 发表日期：

    2025年12月29日

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  • Aishwarya Srinivasan,
  • K. Vijayalakshmi,
  • Sathish Kumar,
  • Poulami Roy,
  • V. J. Karthikeyan

摘要

High-frequency electrocardiography (HF-ECG) enhances ischemia detection by capturing microvolt-level changes in the QRS complex; however, clinical adoption requires validating digital systems against Analog standards. We recorded HF-ECG signals simultaneously from 12 healthy subjects (84 beats total) using a five-stage Analog reference (100–500 Hz band-pass, gold connectors) and Sydäntek’s 10× capacitive sensors; both outputs were digitized using a Texas Instruments ADS1298. Signals underwent 10× amplification with a low-noise op-amp, the Analog output was scaled to match, and data were processed in PulseTek™ and stored in PulseVault™. Root mean square (RMS), Amplitude, Kurtosis, and Frequency content were compared using Bland–Altman analysis (Analog as the reference); values reported reflect pre-amplified measurements in microvolts (µV). Mean differences between the Analog setup and Sydäntek fell within the 95% limits of agreement (LOA): RMS, 6.39 µV (− 49.74 to 62.52 µV); amplitude, 1.82 µV (− 57.09 to 60.73 µV); kurtosis, 1.93 (− 5.13 to 1.54); and frequency, 2.1 Hz (− 5.8 to 6.2 Hz), all within a 5% clinical tolerance when scaled 10× (~ 10–20 mV). Sydäntek matched analog fidelity, with frequency peaks near ~ 150 Hz, indicating digital HF-ECG performance equivalent to that of the Analog system on key metrics. Its wearable design and cloud integration provide a portable, reliable alternative for ischemia detection with broader clinical applicability.