Rajant Health secures strategic patent for wearable health monitoring precision

Discover how Rajant Health’s patented motion artifact removal tech is reshaping wearable health monitoring with clinical-grade accuracy during movement.

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has secured a major intellectual property milestone with the approval of a new U.S. patent for its proprietary Parallel Adaptive Motion Artifact Removal technology. This development addresses a critical limitation in wearable health monitoring—accurate vital sign tracking during physical movement. The patented technology enables real-time filtering of motion artifacts, which commonly disrupt the photoplethysmography (PPG) signals used in devices like fitness trackers and smartwatches. As a result, Rajant Health’s breakthrough is expected to significantly improve clinical reliability in consumer and industrial wearables, particularly during exercise and high-motion activities.

The core innovation lies in the system’s ability to adaptively clean motion-related signal distortions using intelligent filters powered by inertial measurement unit (IMU) sensors. By enhancing signal clarity without compromising the speed of data delivery, this technology sets a new benchmark for wearable health monitoring systems, particularly for tracking heart rate and other vital signs in dynamic environments.

What Is Motion Artifact Removal and Why Does It Matter in Wearable Tech?

Motion artifact removal has long been one of the most difficult challenges in wearable health technology. When users move, sensors often capture erratic data due to body motion, limb positioning, or device displacement. This “noise” disrupts PPG signal quality, making it difficult to extract accurate health metrics like heart rate, blood oxygen levels, or respiration. Traditional motion artifact correction methods rely on fixed filtering or average signal smoothing—approaches that often reduce responsiveness or accuracy.

Rajant Health secures strategic patent for wearable health monitoring precision
Discover how Rajant Health’s patented motion artifact removal tech is reshaping wearable health monitoring with clinical-grade accuracy during movement.

Rajant Health’s newly patented Parallel Adaptive Motion Artifact Removal method introduces a more nuanced system. It uses parallel filters working in real time, dynamically adjusting based on motion data captured by gyroscopes and accelerometers within the IMU framework. This enables more responsive, on-the-fly noise reduction during intense physical activity. Early testing has demonstrated that the technology can measure heart rates with an average deviation of just 1.12 beats per minute, on par with gold-standard finger sensors used in clinical settings.

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How Does the Technology Work in Real-Time Settings?

The technology integrates adaptive filtering with sensor fusion, combining data from multiple IMUs to distinguish real physiological signals from motion-induced noise. When applied to a wearable device like a smartwatch or fitness band, the system captures movement via IMU sensors and applies machine learning algorithms to segment usable data from corrupted portions. This allows for the delivery of more reliable heart rate measurements with minimal delay.

This capability is especially critical in environments where health and safety monitoring must be uninterrupted, such as in military field operations, first-responder scenarios, or industrial worksites with hazardous exposure. Rajant Health’s solution allows for wearable systems to become practical in these high-demand use cases without sacrificing accuracy.

What Role Does Edge Computing Play in This Advancement?

Rajant Health’s expertise in edge computing plays a central role in enabling the Parallel Adaptive Motion Artifact Removal system. By processing data locally on the wearable device instead of relying on remote servers or cloud infrastructure, the company ensures that data latency is minimized. This architectural decision supports real-time monitoring, even in bandwidth-limited environments.

Edge computing has emerged as a foundational enabler for next-generation healthcare technologies, especially in remote or mobile health contexts. It supports the use of AI-powered analytics directly on-device, which is essential for processing biosignals like PPG in real time. Rajant Health has extended its edge capabilities from omics data processing and biomedical sensor networks to this application, reinforcing its platform’s versatility.

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What Does This Mean for the Future of Wearable Health Monitoring?

With the patent now secured under U.S. Application Number 18/171,180, Rajant Health has formalised its claim to a key enabling technology for future generations of health wearables. The company has stated that this innovation is part of a broader vision to transform healthcare delivery through precise, AI-augmented, and no-code-enabled solutions.

Industry experts note that this innovation could help close the trust gap between consumer-grade wearable devices and clinical-grade equipment. By bringing medical-grade measurement precision to everyday fitness trackers, devices could eventually be used more widely in remote patient monitoring programs, telehealth, and even chronic disease management.

Rajant Health’s patent also supports applications beyond healthcare. The company is exploring industrial safety uses, where constant monitoring of workers in physically demanding or dangerous environments is a growing necessity. Wearables equipped with accurate real-time health tracking can support early warning systems and improve workplace safety outcomes.

What Are the Sentiment and Investment Implications for Rajant Health?

While Rajant Health Incorporated is not currently publicly listed, its patent portfolio expansion and technical leadership position it strongly for future investment interest—particularly from institutional backers focused on digital health, biosensor hardware, and edge-based artificial intelligence. The company’s move into patented wearable signal processing differentiates its offering in a crowded market where many solutions still suffer from accuracy limitations.

The positive sentiment from technology analysts stems from the firm’s ability to blend advanced DSP engineering, motion sensor fusion, and edge computing into a unified platform. The patent not only protects intellectual property but also validates the company’s direction in developing real-time healthcare solutions. Rajant Health is now better positioned to license this technology or integrate it into enterprise-grade wearable platforms through OEM partnerships.

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How Is Rajant Health Positioning Itself in the Broader Health Tech Landscape?

Founded on the principle of enabling smarter health systems through software and hardware integration, Rajant Health’s portfolio already includes edge-enabled biomedical applications and environmental sensors. This new addition—targeted at improving vital sign measurement accuracy—signals a deepening focus on wearables, digital diagnostics, and patient-centered care technologies.

The company’s focus on AI-supporting infrastructure and no-code development tools positions it well in a healthcare landscape that increasingly demands interoperability, flexibility, and clinician-driven innovation. Through this patent, Rajant Health demonstrates its commitment to addressing practical pain points in health tech, ensuring its place among leading innovators in wearable medical technology.

As health systems worldwide continue to embrace digital transformation, breakthroughs like motion artifact removal technology will likely become standard features in the next generation of connected health solutions. Rajant Health is aiming to be at the forefront of that transformation.


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