BioMech Health introduces AI-enabled, real-time motion analytics to improve healthcare outcomes

BioMech Health, a division of BioMech Holdings, LLC, is debuting BioMech Lab to arm clinicians with the ability to capture—in real-time—the relevant motion metrics necessary to rapidly evaluate, design, and monitor physical, surgical, pharmaco, and cognitive therapies.

Blending advanced sensor technology with artificial intelligence (AI) and machine learning (ML) algorithms and interactive biofeedback, BioMech Lab captures motion data in clinical or real-world settings to deliver precise, accurate, and reproducible assessments and treatment modifications that stratify risk and improve care outcomes, according to the company.

“Functional motion is a powerful measure of health and includes such fundamental aspects as balance, symmetry, range of motion, voluntary motor responses to stimuli and complex movements like gait,” said BioMech co-founder Frank Fornari, Ph.D. “With BioMech Lab, clinicians can fully and accurately assess these critical aspects of motion, design treatments and monitor and report outcomes for numerous standard tests and clinical conditions—meaning virtually any clinical specialty can now perform medically necessary tests at the appropriate frequency as part of a comprehensive diagnosis and treatment plan.”

BioMech Lab is applicable to multiple specialties. With secure and immediate access via mobile devices and/or a user-friendly web interface, it improves treatment outcomes by:

• Noninvasively capturing normal and pathological motion
• Longitudinally assessing progress and, when necessary, modifying treatment
• Enabling evidence-based clinician-patient interaction and engagement
• Providing secure, anytime-anywhere cloud-based access to patient metrics and reports in a HIPAA-compliant Laboratory Information System

Patented sensor technology ensures capture of the quality data required for BioMech’s powerful AI/ML algorithms to truly “learn” how to properly transform a patient’s motion patterns, including:

• Gait metrics such as timing, impact, truncal deviation, and gait cycle
• Trajectory, timeline, and pattern of balance events in three dimensions, including deviation, recovery, and timeline
• Valuated total movement as measured by the degree of symmetry between two sensors
• Range of motion in sagittal, frontal, and transverse planes autonomously, including joint, ground, initial and max/min/last metrics
• Simple Reaction Test (SRT), Choice Reaction Test (CRT), and Discrimination Reaction Test (DRT) to derive cognition metrics including latency and correctness.

For more information about this news, visit www.biomech.us.