Methods for detecting heart rate, respiration, and oxygen saturation and uses thereof

1. A wearable device for measuring one or more biological parameters of a subject comprising

a biometric sensor board having a photosensor adapted to generate a time-varying signal corresponding to reflectance of red and infrared lights off skin tissue;

a locomotion sensor package, comprising a gyroscope and an accelerometer each generating a time-varying motion signal associated with motion with respect to three axes;

a microcontroller having a processor processing data collected by said photosensor, wherein a dedicated memory chip is installed for storing data for real-time signal processing;

a power supply; and

a display adapted to provide results of the processed data,

wherein to calculate a respiration rate, the processor is configured to:

(a) sample the time-varying photosensor signal and the time-varying motion signals to thereby generate a digitized time-varying photosensor signal and digitized time-varying motion sensor signals,

(b) apply a Fourier transform to the digitized time-varying photosensor signal and the digitized time-varying motion signals to thereby generate frequency domain spectra associated with magnitudes of the digitized time-varying photosensor signal and the digitized time-varying motion signals,

(c) detect peaks of the magnitudes of the spectra of the digitized time-varying photosensor signal and the digitized time-varying motion signals,

(d) compare the peaks of magnitudes of the frequency domain spectrum associated with the digitized time-varying photosensor signal with the peaks of magnitudes of the frequency domain spectrum associated with the digitized time-varying motion signals,

(e) identify a peak present in the frequency domain spectrum associated with the digitized time-varying photosensor signal which is not present in the peaks of magnitudes of the frequency domain spectrum associated with the digitized time-varying motion signals,

(f) multiply the frequency associated with the identified peak by 60 to thereby generate activity per minute.

2. The wearable device of claim 1 , the processor is further configured to:

(g) compute a weighted average about the identified peak, and

(h) segment the respiration rate by repeating steps a) g) with under-sampling digitized data obtained in step (a) based on one of N/2 or N/4, where N represents number of samples.

3. The wearable device of claim 2 , further comprising:

active filters associated with respiration and heart rate coupled to the photosensor, and

wherein the processor is further configured to:

calculate heart rate by applying steps (a) through (h) to the associated active filter for heart rate, and

calculate respiration rate by applying steps (a) through (h) to the associated active filter for respiration rate.

4. The wearable device of claim 3 , wherein filter frequency for heart rate active filter ranges from about 0.4 Hertz (Hz) to about 4 Hz; and filter frequency for respiration active filter ranges from about 0.05 Hz to about 0.5 Hz.

5. The wearable device of claim 3 to calculate oxygen saturation, the processor further configured to:

apply Beer-Lambert's law to the heart rate active filter.

6. The wearable device of claim 5 , wherein said calculated heart rate, respiration, and oxygen saturation of a subject are displayed in a single display.

7. The wearable device of claim 5 , wherein said calculated heart rate, respiration, and oxygen saturation of a subject are shared and/or monitored remotely.

8. The wearable device of claim 1 further comprising a real-time clock for accurate time keeping and a means for battery level monitoring.

9. The wearable device of claim 1 further comprising input and output capabilities for charging, programming, and data transfer and sharing.

10. The wearable device of claim 1 further comprising an SD card and RAM for long term and short term data storage, respectively.