Key result
Prototype pneumatic pulse simulator generates age-dependent radial pulses with ~6% error versus in-vivo data.
Why the study?
Radial pulse simulators are needed to advance wearable healthcare devices and modernize pulse diagnosis methods by calibrating sensors and training medical professionals, motivating a new, simple, and cost-effective design.
A novel pneumatic pulse simulator can accurately generate age-dependent radial artery pulse waveforms with an error of approximately 6%, demonstrating feasibility for device calibration and medical training.
Supports simulator development for calibration/training; leaves open human validation before clinical adoption.
Radial pulse simulators can play an important role in the advancement of wearable healthcare devices and the modernization of pulse diagnosis methods, which are widely used in Oriental Medicine. They can be used to calibrate wrist-worn sensors and train medical professionals for pulse palpations. This study proposes a new, simple, and cost-effective pulse simulator capable of producing a wide range of blood pressure waveforms. It designed and constructed a prototype pulse simulator, consisting of two precision solenoid valves, an air compressor, a pneumatic pressure sensor, and control electronics. By controlling the opening and closing of the solenoid valves, the simulator regulates the pneumatic pressure to generate desired pulse waveforms. To assess the performance of the prototype, age-related radial pulses were considered, and the pulse waveforms generated by the prototype for representative three age groups (10, 50, and 90-year-olds), which show distinctly different pulse waveforms, are compared with pre-existing in-vivo data for the same age groups. The results show that the Root-Mean-Squared-Error (RMSE) between the experimentally obtained pulses and in-vivo pulses of approximately 6% for all groups, indicating the feasibility of the proposed pulse simulator for creating a range of pulse waveforms.
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Debruin et al. (2024) studied Radial pulse simulation. Pneumatic pulse simulator vs. Pre-existing in-vivo data was evaluated on Root-Mean-Squared-Error (RMSE) between experimentally obtained pulses and in-vivo pulses. A prototype pneumatic pulse simulator successfully generated age-dependent radial artery pulses with an approximate 6% Root-Mean-Squared-Error compared to pre-existing in-vivo data.
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