G01G21/02

Systems and Methods for Generating Synthetic Cardio-Respiratory Signals
20230225517 · 2023-07-20 ·

Devices and methods for generating synthetic cardio-respiratory signals from one or more ballistocardiogram (BCG) sensors. A method for determining item specific parameters includes obtaining ballistocardiogram (BCG) data from one or more sensors, where the one or more sensors capture BCG data for one or more subjects in relation to a substrate. For each subject, the captured BCG data is pre-processed to obtain cardio-respiratory BCG data. The cardio-respiratory BCG data is sub-sampled to generate the cardio-respiratory BCG data at a cardio-respiratory sampling rate conducive to cardio-respiratory signal generation. The sub-sampled cardio-respiratory BCG data is cardio-respiratory processed to generate a cardio-respiratory parameter set. A synthetic cardio-respiratory signal is generated from at least the cardio-respiratory parameter set and a cardio-respiratory event morphology template. A condition of the subject is determined based on the synthetic cardio-respiratory signal.

Systems and Methods for Generating Synthetic Cardio-Respiratory Signals
20230225517 · 2023-07-20 ·

Devices and methods for generating synthetic cardio-respiratory signals from one or more ballistocardiogram (BCG) sensors. A method for determining item specific parameters includes obtaining ballistocardiogram (BCG) data from one or more sensors, where the one or more sensors capture BCG data for one or more subjects in relation to a substrate. For each subject, the captured BCG data is pre-processed to obtain cardio-respiratory BCG data. The cardio-respiratory BCG data is sub-sampled to generate the cardio-respiratory BCG data at a cardio-respiratory sampling rate conducive to cardio-respiratory signal generation. The sub-sampled cardio-respiratory BCG data is cardio-respiratory processed to generate a cardio-respiratory parameter set. A synthetic cardio-respiratory signal is generated from at least the cardio-respiratory parameter set and a cardio-respiratory event morphology template. A condition of the subject is determined based on the synthetic cardio-respiratory signal.

Load Sensor Assembly for Bed Leg and Bed with Load Sensor Assembly
20220364905 · 2022-11-17 ·

A bed comprises substrate support members, each including a load bearing and a base configured to provide contact with a floor. The load bearing member is configured to move vertically relative to the base, while the base and the load bearing member are configured to fit together to maintain lateral alignment of the base and the load bearing member. A load sensor is positioned between the base and the load bearing member, the load bearing member configured to transmit a load from the substrate to the load sensor. A printed circuit board is in communication with the load sensor. A controller is in communication with the printed circuit board of each substrate support member and is configured to receive and process data output by the printed circuit boards.

Load Sensor Assembly for Bed Leg and Bed with Load Sensor Assembly
20220364905 · 2022-11-17 ·

A bed comprises substrate support members, each including a load bearing and a base configured to provide contact with a floor. The load bearing member is configured to move vertically relative to the base, while the base and the load bearing member are configured to fit together to maintain lateral alignment of the base and the load bearing member. A load sensor is positioned between the base and the load bearing member, the load bearing member configured to transmit a load from the substrate to the load sensor. A printed circuit board is in communication with the load sensor. A controller is in communication with the printed circuit board of each substrate support member and is configured to receive and process data output by the printed circuit boards.

Multidimensional Multivariate Multiple Sensor System

Devices and methods for determining item-specific information for single or multiple items on one or multiple substrates are described. The method includes generating multiple sensor multiple dimensions array (MSMDA) data from multiple sensors, where each of the multiple sensors capture sensor data for one or more items in relation to a substrate. For each item, the method includes determining relationships between the multiple sensors based on characteristics of the MSMDA data, determining a location of the item on the substrate based on at least the determined relationships between the multiple sensors, determining an angular orientation of the item on the substrate based on at least the determined relationships between the multiple sensors, and determining a body position of the subject on the substrate based at least the determined relationships between the multiple sensors, the location of the subject, and the angular orientation of the item.

Multidimensional Multivariate Multiple Sensor System

Devices and methods for determining item-specific information for single or multiple items on one or multiple substrates are described. The method includes generating multiple sensor multiple dimensions array (MSMDA) data from multiple sensors, where each of the multiple sensors capture sensor data for one or more items in relation to a substrate. For each item, the method includes determining relationships between the multiple sensors based on characteristics of the MSMDA data, determining a location of the item on the substrate based on at least the determined relationships between the multiple sensors, determining an angular orientation of the item on the substrate based on at least the determined relationships between the multiple sensors, and determining a body position of the subject on the substrate based at least the determined relationships between the multiple sensors, the location of the subject, and the angular orientation of the item.

Truck tough scale
11473964 · 2022-10-18 ·

A truck scale assembly comprised of a payload containment portion affixed to a frame, an array of load cell assemblies, and a display screen positioned on a pickup truck surface. The array features load cell assemblies arranged in spaced apart relationship along an underside of the payload containment portion to allow load information from various regions of the containment portion to be communicated to and visually displayed by the display screen, allowing a truck operator to understand payload weight and relative distribution in the payload containment portion of the pickup truck. One embodiment of the assembly is an aftermarket drop in liner installed in an existing truck bed assembly, and a second embodiment is factory installed, with the array sandwiched between an underside of the truck bed and the truck frame. Information from the array is transmitted by wired connection or wirelessly to the display screen.

Systems and Methods for Utilizing Gravity to Determine Subject-Specific Information

A system for measuring data specific to a subject using gravity comprises a substrate on which a subject lies, the substrate having multiple legs extending from the substrate to a floor to support the substrate, and load sensor assemblies. Each load sensor assembly is associated with a respective leg and comprises a cap configured to receive a load from the substrate, a base configured to provide contact with the floor, the base and cap configured to fit together to maintain alignment of the cap to the base while allowing vertical movement of the cap, a load cell between the base and the cap, one of the base and cap configured to translate the load to the load cell and a printed circuit board that processes and outputs data from the load cell, wherein a combination of all load sensor assemblies receive an entire load to which the substrate is subjected.

Systems and Methods for Utilizing Gravity to Determine Subject-Specific Information

A system for measuring data specific to a subject using gravity comprises a substrate on which a subject lies, the substrate having multiple legs extending from the substrate to a floor to support the substrate, and load sensor assemblies. Each load sensor assembly is associated with a respective leg and comprises a cap configured to receive a load from the substrate, a base configured to provide contact with the floor, the base and cap configured to fit together to maintain alignment of the cap to the base while allowing vertical movement of the cap, a load cell between the base and the cap, one of the base and cap configured to translate the load to the load cell and a printed circuit board that processes and outputs data from the load cell, wherein a combination of all load sensor assemblies receive an entire load to which the substrate is subjected.

High-precision weighing module with reduced thermal gradient

An integrated high-precision weighing module has a shell, an electromagnetic force sensor, a printed circuit board (PCB), a weighing pan component, a support ring, and an air baffle ring. The electromagnetic force sensor and the PCB are mounted in the shell. A bearing head of the electromagnetic force sensor extends upward from an upper end portion of the shell. The support ring sheathes the bearing head. The weighing pan component is mounted on the bearing head, with the support ring located between the weighing pan component and the shell. The air baffle ring is disposed around the weighing pan component and located on the support ring. A first airflow channel is formed among the shell, the support ring, and the air baffle ring. At least part of airflow in the shell flows to the outside through the first airflow channel.