Method for continuously monitoring a patient using a body-worn device and associated system for alarms/alerts
US-9492092-B2 · Nov 15, 2016 · US
US11980449B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11980449-B2 |
| Application number | US-202217844448-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 20, 2022 |
| Priority date | Apr 22, 2010 |
| Publication date | May 14, 2024 |
| Grant date | May 14, 2024 |
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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.
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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
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