SLEEP ASSISTANT SYSTEM

• US 20110137188A1
• Filed: 01/15/2010
• Published: 06/09/2011
• Est. Priority Date: 12/03/2009
• Status: Abandoned Application

• Current Assignee: National Yang-Ming University
• Original Assignee: National Yang-Ming University
• Inventors: YANG, Ching-Hsiu, KUO, Bo-Jau
• Application Number:
  US12/688,451
• Publication Number:
  US 20110137188A1
• Time in Patent Office: Days
• US Class Current: 600/509
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4035 Evaluating the autonomic nervous system
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/6822 Neck
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses

Abstract

The present invention relates to a system for sleeping assistance which comprises an electrocardiogram collector, a heartbeat recognition device, a frequency domain analysis device and a nerve active judgment device. Frequency spectrum and heartbeat rate analysis are made by the measured electrocardiogram to find out what nerve actives effect sleeping and to give corresponding feedback.

Claims

1. A sleep assistant system, which comprises:

(a) an electrocardiogram collector;

(b) a heartbeat recognition device, which obtains cardiac cycle sequences from electrocardio-signals collected by said electrocardiogram collector;

(c) a frequency domain analysis device, which obtains power of different frequency from said cardiac cycle sequences; and

(d) a nerve active judgment device, which determines whether said cardiac cycle sequences and said power of different frequency have any effect on disrupted sleep.

2. The sleep assistant system of claim 1, wherein said electrocardiogram collector includes a detect electrode and a reference electrode for attaching on the skin surface.

3. The sleep assistant system of claim 1, wherein said heartbeat recognition device includes a peck detection procedure and a noise separation procedure.

4. The sleep assistant system of claim 1, wherein frequency domain analysis device comprises:

(a) sampling the heart cycle;

(b) Hamming operation for prevent heart cycle leak each other of individual frequency component in sampling;

(c) fast Fourier transform to transfer sampling results of heart cycle into power density spectrum; and

(d) calculates the power of low frequency (0.04˜

0.15 Hz) and high frequency(0.15˜

0.4 Hz) from said power density spectrum by integral quantification to obtain total power and low-high frequency power ratio.

5. The sleep assistant system of claim 1, wherein said nerve active judgment device includes:

determine whether said cardiac cycle sequences or said low-high power ratio are higher than warning value for the diagnosis of sleep disrupted effect.

6. The sleep assistant system of claim 1, which further includes an automatic shut-off element.

7. The sleep assistant system of claim 1, which further comprises:

(a) an acceleration sensor;

(b) a motility computing device, which computes body motilities from said accelerator'"'"'s signals of acceleration sensor; and

(c) a hyperergasia judging device, which interprets said computed body motilities and estimates its sleep disrupted effect.

8. The sleep assistant system of claim 7, wherein said acceleration sensor is an acceleration induction integrated circuit.

9. The sleep assistant system of claim 7, wherein said motility computing device measures acceleration to obtain vector sum of triaxial directions (x, y, z).

10. The sleep assistant system of claim 1, which further comprises a wireless transceiver and a remote data processing device, wherein

wherein said wireless transceiver responsible for transmit recorded electrocardio-signals of said electrocardiogram collector or recorded acceleration signals of said acceleration sensor to said remote data processing device, or receive data of said remote data processing device;

said remote data processing device responsible for receive and analyse said recorded signals and return results to said wireless transceiver or to health agencies.

14. The sleep assistant system of claim 7, which further comprises a wireless transceiver and a remote data processing device, wherein

wherein said wireless transceiver responsible for transmit recorded electrocardio-signals of said electrocardiogram collector or recorded acceleration signals of said acceleration sensor to said remote data processing device, or receive data of said remote data processing device;

said remote data processing device responsible for receive and analyse said recorded signals and return results to said wireless transceiver or to health agencies.

11. A sleep states estimation method, which includes:

(a) measuring said cardiac cycle sequences;

(b) analysing spectrum of said cardiac cycle sequences; and

(c) estimating nervous activities from the results of said cardiac cycle sequences or said spectral analysis.

12. The sleep states estimation method of claim 11, wherein said nerve is sympathetic nerve or parasympathetic nerve.

13. The sleep states estimation method of claim 11, which comprises:

(a) measuring said body motilities;

(b) judging said body motilities have any effect to said disrupted sleep.