US 11160455

US Patent 11160455, titled "Multi-wavelength wearable device for non-invasive blood measurements in tissue," was issued to Omni Medsci Inc. on November 2, 2021, from an application filed on October 23, 2020. The sole inventor listed is Mohammed N. Islam.

Abstract:
The patent describes a system for non-invasive measurement of physiological parameters using a wearable device, a smartphone or tablet, and a cloud-based processing system. The wearable device, designed for placement on teeth, a wrist, or an ear, incorporates a light source with multiple semiconductor emitters that generate optical light at various wavelengths. This light is directed to tissue via lenses, and a detection system receives reflected light, producing an output signal. The detection system, synchronized with the light source, features spatially separated detectors coupled to analog-to-digital converters. A connected smartphone or tablet wirelessly receives, processes, stores, and displays this output signal, then transmits a portion of the processed data to the cloud. The cloud further processes and stores this information. The system enhances signal-to-noise ratio by increasing light intensity or comparing signals when light sources are on versus off. The optical wavelengths used include near-infrared or visible light, with at least some light scattering from irregular surfaces.

Independent Claims Overview:

• Claim 1: System for Physiological Parameter Measurement
  This claim outlines a complete system for non-invasively measuring physiological parameters. It comprises a wearable device (for teeth, wrist, or ear) with a multi-wavelength light source and lenses to direct light to tissue. A detection system, synchronized with the light source and featuring multiple spatially separated detectors with analog-to-digital converters, receives reflected light and generates an output signal. This signal is then wirelessly transmitted to a smartphone or tablet, which processes, stores, and displays the data, and further transmits a portion to a cloud computing system for additional processing and storage. The system improves signal-to-noise ratio by adjusting light intensity or comparing signals from active and inactive light sources. The emitted light includes at least three near-infrared or visible wavelengths, designed to interact with tissue through scattering.

• Claim 7: Wearable Device with LED Light Sources
  This claim describes a wearable device specifically for placement on a user's wrist or ear, designed for physiological parameter measurement in conjunction with a smartphone or tablet. The device includes a light source featuring a driver and a plurality of Light Emitting Diode (LED) semiconductor sources that generate optical light at one or more wavelengths. Lenses guide this light to tissue. A detection system, synchronized with the light source, captures reflected light with multiple spatially separated detectors, each connected to an analog-to-digital converter. The output signal, indicative of physiological parameters, is wirelessly communicated to a smartphone or tablet. The device enhances signal-to-noise ratio by increasing LED intensity or by comparing signals when LEDs are off versus on. A key feature is that the plurality of semiconductor sources (six LEDs) and spatially separated detectors are arranged on one or more arcs.

• Claim 10: Wearable Device with AI-Driven Object Detection and Pattern Analysis
  This claim details a wearable device (for teeth, wrist, or ear) also utilizing LED semiconductor sources and connected to a smartphone or tablet, with an added emphasis on advanced data analysis. Similar to Claim 7, it includes an LED light source, lenses to deliver light to tissue, and a synchronized detection system with multiple spatially separated detectors and analog-to-digital converters. The generated output signal, indicating physiological parameters, is processed, stored, and displayed by a connected smartphone or tablet. However, this claim specifically states that the overall system is configured to detect an "object," and a property of the output signal is compared against a threshold by either the wearable device, smartphone, or tablet. Critically, the system is configured to employ artificial intelligence for decision-making related to the output signal and to perform pattern identification, classification, or regression signal processing methodologies.

USPTO and CAFC Docket Search:
A search of the USPTO Patent Center for US Patent 11160455 confirms the details provided above, including the title, assignee, inventor, filing date (October 23, 2020), and issue date (November 2, 2021).

Regarding CAFC 2026 dockets, a review of the "Scheduled Cases – May 2026" document from the U.S. Court of Appeals for the Federal Circuit did not explicitly list patent number 11160455. However, the Google Patents information for US11160455 does indicate ongoing litigation, including two PTAB (Patent Trial and Appeal Board) cases (IPR2025-01585 and IPR2025-01252) filed in 2025, and US cases filed in the Texas Eastern District Court (2:24-cv-01070) and Delaware District Court (1:25-cv-00140). These cases, while not directly appearing in the May 2026 CAFC schedule provided, represent active litigation that could potentially lead to appeals at the CAFC in the future.