Key result
A ring-type pulse oximeter finger sensor and 24-hour ambulatory heart rate monitoring system demonstrated feasibility in extracting accurate heart rate variability measurements from PPG signals.
A novel ring-type pulse oximeter sensor with a calibration algorithm demonstrates feasibility for continuous 24-hour ambulatory heart rate variability monitoring in the elderly.
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Hypothesis-generating for ring-type PPG ambulatory HRV in elderly; leaves open validation before clinical adoption.
With the continuous aging of the populations in developed countries, the medical requirements of the aged are expected to increase. In this paper, a ring-type pulse oximeter finger sensor and a 24-hour ambulatory heart rate monitoring system for the aged are presented. We also demonstrate the feasibility of extracting accurate heart rate variability measurements from photoelectric plethysmography signals gathered using a ring-type pulse oximeter sensor attached to the finger. We designed the heart rate sensor using a CPU with built-in ZigBee stack for simplicity and low power consumption. We also analyzed the various distorted signals caused by motion artifacts using a FFT, and designed an algorithm using a least squares estimator to calibrate the signals for better accuracy.
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Park et al. (2013) studied this question. Ring-type pulse oximeter finger sensor and 24-hour ambulatory heart rate monitoring system was evaluated on Feasibility of extracting accurate heart rate variability measurements and calibrating signals. A ring-type pulse oximeter finger sensor and 24-hour ambulatory heart rate monitoring system demonstrated feasibility in extracting accurate heart rate variability measurements from PPG signals.
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