Continuous arrhythmia monitoring with wearable ECG sensors is limited by the large data volumes required to transmit raw or compressed waveforms, which consume significant power and shorten device lifespan. Battery-powered wearables struggle to support long-term operation because frequent recharging interrupts monitoring, reduces compliance, and burdens users. Existing compression techniques still demand substantial computation or sacrifice diagnostic detail, making it difficult to achieve reliable real-time detection under tight energy and bandwidth constraints.
The invention uses a Smart ECG Patch that acquires ECG signals, detects R-peaks, removes artifacts, and encodes each cardiac cycle into 14 integer parameters representing QRS morphology and instantaneous heart rate. This compact representation is transmitted via low-power Bluetooth to a host device, where a BiLSTM-based classifier performs real-time arrhythmia detection across seven categories. The system incorporates adaptive power management and secure transmission using ECC cryptography and AES-128 encryption, enabling efficient, continuous monitoring.
• Reduces data transmission through compact ECG feature encoding
• Extends battery life by minimizing wireless communication demands
• Supports real-time arrhythmia detection using a lightweight encoded signal
• Lowers computational load on wearable hardware
• Maintains diagnostic accuracy using a BiLSTM classifier trained on encoded features
• Enables efficient continuous monitoring on small, battery-powered devices
• United States US 2024-0188876 – Pending
Prototype demonstrated under continuous monitoring conditions
This technology is available for licensing.
Strong potential for wearable medical device manufacturers, digital health platforms, and remote patient monitoring providers seeking energy-efficient, real-time cardiac monitoring solutions with extended battery life and reduced data transmission requirements.
Information available upon request.