System and process for non-invasive collection and analysis of physiological signals
First Claim
1. A non-invasive system for assessing physiological characteristics of a subject, said system comprising:
- a network of sensors configured to provide electronic output signals indicative of at least one sensed condition, said network including at least one passive sensor selected from the group consisting of vibration, temperature, carbon dioxide, humidity, electromagnetic and light sensors, and wherein said network of sensors further comprises a movable support including at least one sensor of the network of sensors;
data acquisition circuitry for collecting the electronic signals output from said network of sensors;
a processor configured to process the electronic signals, said processor including an amplifier configured to amplify at least one of the electronic signals, and first and second filters configured to receive the amplified electronic signals to produce two processed electronic signals, wherein said first filter includes a band pass filter and said second filter includes a low pass filter and a high pass filter, and wherein said first filter outputs a first signal corresponding to a respiratory rate on a breath-by-breath basis of the subject and said second filter outputs a second signal corresponding to a heart rate on a beat-by-beat basis of the subject; and
an output device for outputting the processed signals into human-readable data indicative of at least one condition of a subject,wherein the human-readable data comprises a subject movement percentage.
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Abstract
A system and method for detecting, monitoring and analyzing physiological characteristics. Signals from a subject are acquired from a suite of sensors, such as temperature, carbon dioxide, humidity, light, movement, electromagnetic and vibration sensors, in a passive, non-invasive manner. The signals are processed and physiological characteristics are isolated for analysis. The system and method are to analyze sleep patterns, as well as to prevent bed sores or detect conditions such as illness, restless leg syndrome, periodic leg movement, sleep walking, or sleep apnea. However, numerous other applications of the invention are also disclosed.
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Citations
20 Claims
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1. A non-invasive system for assessing physiological characteristics of a subject, said system comprising:
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a network of sensors configured to provide electronic output signals indicative of at least one sensed condition, said network including at least one passive sensor selected from the group consisting of vibration, temperature, carbon dioxide, humidity, electromagnetic and light sensors, and wherein said network of sensors further comprises a movable support including at least one sensor of the network of sensors; data acquisition circuitry for collecting the electronic signals output from said network of sensors; a processor configured to process the electronic signals, said processor including an amplifier configured to amplify at least one of the electronic signals, and first and second filters configured to receive the amplified electronic signals to produce two processed electronic signals, wherein said first filter includes a band pass filter and said second filter includes a low pass filter and a high pass filter, and wherein said first filter outputs a first signal corresponding to a respiratory rate on a breath-by-breath basis of the subject and said second filter outputs a second signal corresponding to a heart rate on a beat-by-beat basis of the subject; and an output device for outputting the processed signals into human-readable data indicative of at least one condition of a subject, wherein the human-readable data comprises a subject movement percentage. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A non-invasive system for assessing physiological characteristics of a subject, said system comprising:
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a network of sensors configured to provide electronic output signals indicative of at least one sensed condition, said network including at least one passive sensor selected from the group consisting of vibration, temperature, carbon dioxide, humidity, electromagnetic and light sensors; data acquisition circuitry for collecting the electronic signals output from said network of sensors, said circuitry including a user activated privacy flag to flag for omission output signals from said network of sensors; a processor configured to process the electronic signals, said processor including an amplifier configured to amplify at least one of the electronic signals, and first and second filters configured to receive the amplified electronic signals to produce two processed electronic signals, wherein said first filter includes a band pass filter and said second filter includes a low pass filter and a high pass filter, and wherein said first filter outputs a first signal corresponding to a respiratory rate on a breath-by-breath basis of the subject and said second filter outputs a second signal corresponding to a heart rate on a beat-by-beat basis of the subject; and an output device for outputting the processed signals into human-readable data indicative of at least one condition of a subject, wherein the human-readable data comprises a subject movement percentage.
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18. A non-invasive system for assessing physiological characteristics of a subject, said system comprising:
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a network of sensors configured to provide electronic output signals indicative of at least one sensed condition, said network including at least one passive sensor selected from the group consisting of vibration, temperature, carbon dioxide, humidity, electromagnetic and light sensors, wherein said network of sensors can saturate when gross movement occurs; data acquisition circuitry for collecting the electronic signals output from said network of sensors; a processor configured to process the electronic signals, said processor including an amplifier configured to amplify at least one of the electronic signals, and first and second filters configured to receive the amplified electronic signals to produce two processed electronic signals, wherein said first filter includes a band pass filter and said second filter includes a low pass filter and a high pass filter, and wherein said first filter outputs a first signal corresponding to a respiratory rate on a breath-by-breath basis of the subject and said second filter outputs a second signal corresponding to a heart rate on a beat-by-beat basis of the subject; and an output device for outputting the processed signals into human-readable data indicative of at least one condition of a subject, wherein the human-readable data comprises a subject movement percentage. - View Dependent Claims (19)
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20. A non-invasive system for assessing physiological characteristics of a subject, said system comprising:
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a network of sensors configured to provide electronic output signals indicative of at least one sensed condition, said network including at least one passive sensor selected from the group consisting of vibration, temperature, carbon dioxide, humidity, electromagnetic and light sensors, and wherein said network of sensors further comprises a movable support including at least one sensor of the network of sensors; data acquisition circuitry for collecting the electronic signals output from said network of sensors; a processor configured to process the electronic signals, said processor including an amplifier configured to amplify at least one of the electronic signals, and first and second filters configured to receive the amplified electronic signals to produce two processed electronic signals, wherein said first filter includes a band pass filter and said second filter includes a low pass filter and a high pass filter, and wherein said first filter outputs a first signal corresponding to a respiratory rate on a breath-by-breath basis of the subject and said second filter outputs a second signal corresponding to a heart rate on a beat-by-beat basis of the subject; and an output device for outputting the processed signals into human-readable data indicative of at least one condition of a subject, wherein said system is adapted to assess the subject'"'"'s quality of sleep and wherein; said data acquisition circuitry is configured to collect the electronic signals output from said network of sensors indicative of heart rate and/or respiratory rate; said first filter receives signals indicative of chest movement and said second filter receives signals indicative of heart movement; and said processor includes an algorithm to generate a heart rate and a respiratory rate based on processed electronic signals output at or below about 50 Hz, and an algorithm for determining sleep staging and aspects of sleep quality based on the heart rate, the respiratory rate, a variability of the heart rate, a variability of the respiratory rate and a subject movement percentage.
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Specification