Heart rate measurement using adaptive harmonics filtering
US-2024237951-A1 · Jul 18, 2024 · US
US9326705B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9326705-B2 |
| Application number | US-86958510-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 26, 2010 |
| Priority date | Sep 1, 2009 |
| Publication date | May 3, 2016 |
| Grant date | May 3, 2016 |
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The present invention is directed to systems and methods for monitoring characteristics of a subject. A system according to an exemplary embodiment of the invention includes a sensor subsystem including at least one respiratory sensor disposed proximate to the subject and configured to detect a respiratory characteristic of the subject, wherein the sensor subsystem is configured to generate and transmit at least one respiratory signal representing the respiratory characteristic, and at least one physiological sensor disposed proximate to the subject and configured to detect a physiological characteristic of the subject, wherein the sensor subsystem is configured to generate and transmit at least one physiological signal representing the physiological characteristic, and a processor subsystem in communication with the sensor subsystem, the processor subsystem being configured to receive at least one of the at least one respiratory signal and the at least one physiological signal.
Opening claim text (preview).
What is claimed is: 1. A fitness monitoring system for monitoring a subject engaged in a physical activity, the system comprising: a sensor subsystem including a first sensor and a second sensor each positioned at the subject's torso, wherein the first and second sensors are responsive to changes in distance therebetween, wherein the sensor subsystem is configured to generate and transmit a distance signal representative of the distance between the first and second sensors; a spatial sensor configured to generate and transmit a spatial signal, wherein the spatial sensor is configured to detect movement of the subject; and a processor subsystem in communication with the sensor subsystem and the spatial sensor and including a benchmark spatial signal and a benchmark distance signal, the processor subsystem being configured to receive the distance signal and the spatial signal, wherein the processor subsystem is configured to compare the spatial signal and the distance signal to the respective benchmark spatial signal and benchmark distance signal to assess respiratory and spatial characteristics of the subject and to classify a type of fitness activity of the subject; and a physiological sensor, wherein the physiological sensor is configured to monitor at least one of electrical activity of the brain, electrical activity of the heart, pulse rate, blood oxygen saturation level, skin temperature, EMG, ECG, EEG, and core temperature. 2. A fitness monitoring system for monitoring a subject engaged in a physical activity, the system comprising: a sensor subsystem including a first sensor and a second sensor each positioned at the subject's torso, wherein the first and second sensors are responsive to changes in distance therebetween, wherein the sensor subsystem is configured to generate and transmit a distance signal representative of the distance between the first and second sensors; a spatial sensor configured to generate and transmit a spatial signal, wherein the spatial sensor is configured to detect movement of the subject; a monitoring subsystem configured to receive the distance signal, wherein the processor subsystem is configured to process the distance signal to obtain a signal that is representative of a respiratory parameter, wherein the monitoring subsystem is configured to store the received signal, and wherein the monitoring subsystem is configured to display a representation of the respiratory parameter; and a processor subsystem in communication with the sensor subsystem and the spatial sensor and including a benchmark spatial signal and a benchmark distance signal, the processor subsystem being configured to receive the distance signal and the spatial signal, wherein the processor subsystem is configured to compare the spatial signal and the distance signal to the respective benchmark spatial signal, benchmark distance signal, or a stored received signal to assess respiratory and spatial characteristics of the subject and to classify a type of fitness activity of the subject, wherein the processor subsystem comprises a plurality of stored respiratory benchmarks, and wherein the processor subsystem is further configured to compare the respiratory parameter to the plurality of stored respiratory benchmarks and to generate and transmit a status signal in response to a determination that the respiratory parameter corresponds to one of the stored respiratory benchmarks. 3. The fitness monitoring system of claim 2 , wherein the plurality of stored respiratory benchmarks comprise at least one of adverse fitness states and fitness goals. 4. A fitness monitoring system for monitoring a subject engaged in a physical activity, the system comprising: a sensor subsystem including a first sensor and a second sensor each positioned at the subject's torso, wherein the first and second sensors are responsive to changes in distance therebetween, wherein the sensor subsystem is configured to generate and transmit a distance signal representative of the distance between the first and second sensors; a spatial sensor configured to generate and transmit a spatial signal, wherein the spatial sensor is configured to detect movement of the subject; and a processor subsystem in communication with the sensor subsystem and the spatial sensor and including a benchmark spatial signal and a benchmark distance signal, the processor subsystem being configured to receive the distance signal and the spatial signal, wherein the processor subsystem is configured to compare the spatial signal and the distance signal to the respective benchmark spatial signal and benchmark distance signal to assess respiratory and spatial characteristics of the subject and to classify a type of fitness activity of the subject, wherein the processor subsystem comprises a plurality of stored physiological benchmarks, and wherein the processor subsystem is further configured to compare the physiological parameter to the stored physiological benchmarks and to generate and transmit a status signal in response to a determination that the physiological parameter corresponds to one of the stored physiological benchmarks. 5. A fitness monitoring system for monitoring a subject engaged in a physical activity, the system comprising: a sensor subsystem including a first sensor and a second sensor each positioned at the subject's torso, wherein the first and second sensors are responsive to changes in distance therebetween, wherein the sensor subsystem is configured to generate and transmit a distance signal representative of the distance between the first and second sensors; a spatial sensor configured to generate and transmit a spatial signal, wherein the spatial sensor is configured to detect movement of the subject; a processor subsystem in communication with the sensor subsystem and the spatial sensor and including a benchmark spatial signal and a benchmark distance signal, the processor subsystem being configured to receive the distance signal and the spatial signal; and an audio sensor configured to generate and transmit an audio signal, wherein: the audio sensor is configured to detect sounds made by the subject, and the processor subsystem is in communication with the audio sensor, is configured to receive the audio signal, and is further configured to compare each of the spatial signal, distance signal, and audio signal to a respective benchmark signal to assess respiratory and spatial characteristics of the subject and classifies the type of fitness activity of the subject. 6. A system for monitoring a subject engaged in physical activity, the system comprising: a sensor subsystem including a first sensor and a second sensor each positioned at the subject's torso, wherein the first and second sensors are responsive to changes in distance therebetween, wherein the sensor subsystem is configured to generate and transmit a distance signal representative of the distance between the first and second sensors; a spatial sensor configured to generate and transmit a spatial signal, wherein the spatial signal is configured to detect movement of the subject; a processor subsystem in communication with the sensor subsystem and the spatial sensor, the processor subsystem being configured to receive the distance signal and the spatial signal; and a remote monitor adapted to display at least one of the distance signal and the spatial signal, wherein the processor subsystem is configured to compare the spatial signal and the distance signal to a respective benchmark spatial signal and a benchmark distance signal to assess respiratory and spatial characteristics of the subject and to classify a type of fitness activity of the subject. 7. The monitoring system of claim 6 , wherein the first sensor is configured to be secured to
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