Systems and methods for monitoring orientation and biometric data using acceleration data

US11980449B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11980449-B2
Application numberUS-202217844448-A
CountryUS
Kind codeB2
Filing dateJun 20, 2022
Priority dateApr 22, 2010
Publication dateMay 14, 2024
Grant dateMay 14, 2024

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  5. First independent claim

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Abstract

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A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

First claim

Opening claim text (preview).

We claim: 1. A method for monitoring a person using a wearable sensor device including at least one accelerometer, the method comprising: generating, by the at least one accelerometer of the wearable sensor device, sensor device acceleration data indicating accelerations of the wearable sensor device in at least one direction; processing, by a processor, the sensor device acceleration data generated by the at least one accelerometer of the wearable sensor device to both (a) monitor an orientation of the person and (b) monitor acceleration-based biometric data of the person related to at least one of the person's heart or breathing; comparing, by the processor, the monitored orientation of the person to a defined turn protocol for the person, the defined turn protocol comprising pressurization thresholds for orientations of the person and turn notification parameters; identifying, by the processor, a needed orientation change for the person based on the comparison of the monitored orientation of the person to the defined turn protocol; in response to identifying the needed orientation change, generating, by the processor, a turn notification for output by an output device; analyzing, by the processor, the monitored acceleration-based biometric data to detect abnormal biometric data; and in response to detecting the abnormal biometric data: determining, by the processor, an orientation or an orientation change corresponding with the detected abnormal biometric data based on the monitored orientation of the person; generating, by the processor, a biometric data-related alert notification; and modifying the turn protocol for the person based on the determination of the orientation or orientation change corresponding with the detected abnormal biometric data. 2. The method of claim 1 , wherein monitoring the acceleration-based biometric data of the person comprises monitoring at least one of a heart rate and a respiratory rate based on the sensor device acceleration data. 3. The method of claim 1 , wherein monitoring the acceleration-based biometric data of the person based on the sensor device acceleration data comprises: identifying at least one of a rate, an amplitude, or a waveform of accelerations or decelerations from the sensor device acceleration data; and identifying a heart rate for the person based on the at least one of the rate, amplitude, and waveform data identified from the sensor device acceleration data. 4. The method of claim 1 , wherein monitoring the acceleration-based biometric data of the person based on the sensor device acceleration data comprises: identifying at least one of a rate, an amplitude, or a waveform of accelerations or decelerations from the sensor device acceleration data; and identifying a respiratory rate for the person based on the at least one of the rate, amplitude, and waveform data identified from the sensor device acceleration data. 5. The method of claim 1 , wherein analyzing the monitored acceleration-based biometric data to detect abnormal biometric data comprises identifying an abnormal breathing rate or an abnormal magnitude of chest movement during respiration. 6. The method of claim 1 , wherein analyzing the monitored acceleration-based biometric data to detect abnormal biometric data comprises identifying an abnormal heart rate or an abnormal magnitude of chest movement during a heartbeat. 7. The method of claim 1 , wherein the biometric data-related alert notification indicates a needed orientation change for the person. 8. The method of claim 1 , comprising displaying, at a display device, an indication of the determined orientation or orientation change corresponding with the detected abnormal biometric data. 9. The method of claim 1 , comprising using at least one data filter to separate the sensor device acceleration data into (a) accelerations related to changes in the person's orientation and (b) accelerations related to at least one of the person's heart or breathing. 10. The method of claim 1 , comprising using at least one data filter to separate the sensor device acceleration data into (a) accelerations related to changes in the person's orientation, (b) accelerations related to the person's heart, and (c) accelerations related to breathing. 11. The method of claim 1 , wherein analyzing the monitored acceleration-based biometric data to detect abnormal biometric data comprises comparing the monitored acceleration-based biometric data to predefined acceleration data to detect abnormal biometric data. 12. A method for monitoring a person using a wearable sensor device including at least one accelerometer, the method comprising: generating, by the at least one accelerometer of the wearable sensor device, sensor device acceleration data indicating accelerations of the wearable sensor device in at least one direction, the sensor device acceleration data including a mixture of (a) orientation-related acceleration data related to at least one orientation or orientation change of the person and (b) biometric acceleration data related to at least one of the person's heartbeat or breathing; identifying, by a processor, the biometric acceleration data and the orientation-related acceleration data from the sensor device acceleration data; identifying, by the processor, the at least one orientation or orientation change of the person based on the identified orientation-related acceleration data; comparing, by the processor, the identified at least one orientation or orientation change of the person to a defined turn protocol for the person, the defined turn protocol comprising pressurization thresholds for orientations of the person and turn notification parameters; identifying, by the processor, a needed orientation change for the person based on the comparison of the identified at least one orientation or orientation change of the person to the defined turn protocol; generating, by the processor, a turn notification for output by an output device to indicate the needed orientation change; identifying, by the processor, an abnormal physiological condition based on the identified biometric acceleration data; generating, by the processor, an alert notification in response to identifying the abnormal physiological condition; determining, by the processor, an orientation or an orientation change corresponding with the identified abnormal physiological condition; and modifying the turn protocol for the person based on the determined orientation or orientation change corresponding with the identified abnormal physiological condition. 13. The method of claim 12 , wherein identifying the abnormal physiological condition based on the identified biometric acceleration data comprises: identifying, by the processor, at least one physiological parameter value based on the identified biometric acceleration data; and comparing, by the processor, the at least one physiological parameter value with reference biometric parameter data to identify the abnormal physiological condition. 14. The method of claim 12 , wherein identifying the abnormal physiological condition based on the identified biometric acceleration data comprises: monitoring at least one of a heart rate and a respiratory rate based on the identified biometric acceleration data; and identifying an abnormal heart rate or respiratory rate. 15. The method of claim 12 , wherein biometric acceleration data includes heartbeat related acceleration data and breathing related acceleration data; and identifying the biometric acceleration data and the orientation-related acceleration data from the se

Assignees

Inventors

Classifications

  • A61B5/0205Primary

    Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition · CPC title

  • Undergarments (corsets A41C1/00; brassieres A41C3/00) · CPC title

  • Simultaneously evaluating both cardiovascular condition and temperature · CPC title

  • Measuring pulse rate or heart rate · CPC title

  • Measuring blood flow {(A61B3/1233, A61B3/1241 take precedence)} · CPC title

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What does patent US11980449B2 cover?
A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data rece…
Who is the assignee on this patent?
Leaf Healthcare Inc
What technology area does this patent fall under?
Primary CPC classification A61B5/0205. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue May 14 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).