System and process for non-invasive collection and analysis of physiological signals
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.
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.
2. The system of claim 1 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.
3. The system of claim 2 , further comprising 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.
4. The system of claim 1 , further comprising a microcontroller for converting the collected electronic signals into a bit stream to be logged into a data file for immediate analysis or for later review.
5. The system of claim 4 , wherein said network of sensors includes at least one detector for sensing motion, the bit stream includes electronic signals from said at least detector and said processor processes the bit stream to provide a positional map of the subject.
6. The system of claim 1 , wherein said amplifier comprises an instrumentation amplifier that provides buffering from said network of sensors and an infinite common mode rejection ratio.
7. The system of claim 1 , wherein at least some of the sensors of the network of sensors are passive sensors requiring no active involvement from the subject and no direct attachment to the subject.
8. The system of claim 1 , wherein human-readable data further comprises at least one of a heart rate waveform and a respiratory waveform.
9. The system of claim 1 , wherein the human-readable data further comprises an obstructive sleep apnea count.
10. The system of claim 1 , wherein at least part of the system is incorporated in one of a mattress pad or pillow, a bed or chair at a sleep lab, a bed or chair at an elder care facility, a bed or chair at a hospital for children or adults, a bed or baby support at a prenatal care facility, and a publicly available health monitoring station.
11. The system of claim 1 , wherein said data acquisition circuitry further comprises a user activated privacy flag to flag for omission output signals from said network of sensors.
12. The system of claim 1 , wherein said network of sensors can saturate when gross movement occurs.
13. The system of claim 12 , wherein the saturation of said network of sensors allows differentiation between gross movement and acute movements.
14. The system of claim 13 , wherein gross movement includes physical repositioning and acute movement includes cardiac and respiratory events.
15. The system of claim 14 , wherein at least one of the gross movement and acute movement are interpreted to prevent development of pressure ulcers or bed sores in the patient.
16. The system of claim 1 , wherein said sensors are from the group including piezoelectric, fiber optic, or load cell.
17. 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;
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.
18. 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, 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.
19. The system of claim 18 , wherein saturation of said sensors allows differentiation between gross movement and acute movements.
20. 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 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.