System and Process For Non-Invasive Collection and Analysis of Physiological Signals

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;
• a processor configured to process the electronic signals;
• and
• an output device for outputting the processed signals into human-readable data indicative of at least one condition of a subject, wherein said human-readable data comprises a subject restlessness rate.

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;
• a processor configured to process the electronic signals, wherein a first signal is acquired that corresponds to a respiratory rate on a breath-by-breath basis of the subject and a second signal is acquired that corresponds 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 restlessness rate.

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, wherein a first signal is acquired that corresponds to a respiratory rate on a breath-by-breath basis of the subject and a second signal is acquired that corresponds 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;
• and
• said processor includes an algorithm to generate a heart rate and a respiratory rate based on processed electronic signals 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 restlessness rate.