Medical Data over Sound-CardiaWhisper Concept

Area of Science:

• Biomedical Engineering
• Acoustic Communication
• Internet of Medical Things (IoMT)

Background:

• Data-over-sound (DoS) is a recognized technique with emerging applications.
• Existing medical wearables often rely on RF or Bluetooth, posing potential limitations.
• There is a need for alternative, low-power, and eco-friendly methods for medical data transmission.

Purpose of the Study:

• To introduce CardiaWhisper, a novel medical data-over-sound (MDoS) framework.
• To integrate wearable biomedical sensors with home care and telemedical systems.
• To demonstrate the feasibility of transmitting vital signs (ECG, PPG, RR, ACC) using acoustic signals.

Main Methods:

• Development of a transmitter device integrating biomedical sensors, an encoder (FM modulator or microcontroller), and a speaker.
• Utilization of a receiver (smartphone, tablet) with a microphone to capture and decode acoustic signals.
• Implementation of signal decoding algorithms using open-source technologies (JavaScript, HTML, CSS) for real-time processing.

Main Results:

• Successful real-time transmission and processing of electrocardiogram (ECG) signals demonstrated.
• Evaluation of CardiaWhisper across key performance parameters including speed, noise immunity, power consumption, and range.
• Quantitative signal-to-noise ratio (SNR) measurements in realistic indoor environments.

Conclusions:

• CardiaWhisper offers a viable, low-power, and eco-friendly alternative to RF/Bluetooth medical wearables.
• The MDoS framework facilitates integration with existing telemedical and cloud infrastructures.
• Potential for diverse applications in remote patient monitoring, diagnostics, and data transfer.