Validation Study of an Assistive Pulse Data Collection Device
The Hong Kong Polytechnic University
30 participants
Mar 20, 2025
INTERVENTIONAL
Conditions
Summary
Background: Traditional Chinese Medicine (TCM) relies on pulse diagnosis, a subjective and complex method that is crucial for assessing patients' health status. The COVID-19 pandemic has disrupted healthcare delivery, highlighting the need for remote diagnostic tools. To address this, an Assistive Pulse Data Collection Device (APDC) has been developed to capture and regenerate pulse features for remote pulse assessment in TCM. Objective: This study aims to validate the accuracy and reliability of the APDC by assessing its agreement with Chinese Medicine Practitioners (CMPs) and collecting users' feedback. Intervention: The APDC consists of a radial artery viewing device, pulse collection device, and pulse regeneration device. Methods: Subjects will be recruited via social media and posters at the University. Inclusion criteria include age 18-65 years and BMI 18.5-22.5 kg/m2, while exclusion criteria include a dorsally located radial artery. Registered CMPs with at least 5 years of clinical experience will assess the pulse from both participants and the regenerated pulse by the device. Outcome Assessment: Agreement in pulse features between the subjects' real pulse and the pulse regeneration device will be assessed using a self-developed questionnaire, covering frequency, rhythm, wideness, and force. Quantitative and qualitative feedback from subjects and CMPs will be collected to assess their views on the APDC Device in terms of satisfaction, ease of use, and comfortability.
Eligibility
Inclusion Criteria3
- Age 18-65 years
- BMI 18.5-22.5 kg/m2
- Willing to give informed consent
Exclusion Criteria1
- \. dorsally located radial artery
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Interventions
An Assistive Pulse Data Collection Device prototype has been designed and manufactured by the Logistics and Supply Chain MultiTech R\&D Centre, Hong Kong. The device comprises a pulse sensor to record the patient's pulse and digitalize the pulse feature into waveform data. The digitalized waveform data is then converted the electronic signal into mechanical vibration that responds to the patient's pulse.
Locations(1)
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NCT06974227