Methods and systems for feeding readiness diagnosis

Patent metadata

Field	Value
Publication number	US-2016338634-A1
Application number	US-201515114957-A
Country	US
Kind code	A1
Filing date	Jan 30, 2015
Priority date	Jan 30, 2014
Publication date	Nov 24, 2016
Grant date	—

Abstract

An aspect of the invention described herein includes a method for a digestion diagnosis of a subject. The method includes obtaining electrogastrogram (EGG), bowel sound and NIRS signals from one or more sensors positioned about an abdominal region of a subject, removing artifacts from the signals to obtain conditioned signal data, and determining a digestion condition or feeding readiness of the subject based at least in part on the conditioned signal data.

First claim

What is claimed is:

1 . A method for diagnosing a digestion condition of a subject, the method comprising:
obtaining electrogastrogram (EGG), bowel sound, or NIRS signals, or a combination thereof, from one or more sensors positioned about an abdominal region of a subject; removing artifacts from the signals to obtain conditioned signal data; and determining a digestion condition of the subject based at least in part upon the conditioned signal data.

2 . The method of claim 1 , further comprising determining gastrointestinal (GI) signal features from the conditioned GI signal data, wherein the digestion condition is based at least in part upon the GI signal features.

3 . The method of claim 1 , wherein the artifacts comprise movement artifacts, recording environment-related artifacts and sensor-related artifacts, or a combination thereof.

4 . The method of claim 1 , wherein determining the digestion condition of the subject comprises identifying an abnormal digestion condition.

5 . The method of claim 4 , wherein determining the digestion condition of the subject comprises determining a location of an abnormal condition.

6 . The method of claim 4 , wherein determining the digestion condition of the subject comprises determining a severity of an abnormal condition.

7 . The method of claim 1 , wherein the subject is a preterm infant.

8 . The method of claim 7 , wherein the infant is less than 34 weeks gestational.

9 . The method of claim 8 , wherein the infant is less than 29 weeks gestational.

10 . The method of claim 4 , wherein the abnormal digestion condition is a post-prandial decrease of A-rSO2.

11 . The method of claim 4 , wherein the abnormal disgestion condition is post-prandial decrease in EEG and/or AC signal levels.

12 . A system for cerebral diagnosis of a digestion condition or feeding readiness of a subject, or a combination thereof, the system comprising:
a signal recording module configured to acquire GI signals from one or more sensors positioned about an abdominal region of a subject; a signal conditioning module configured to condition GI signal data from the one or more GI signals; a signal analysis module configured to determine at least one feature of a GI signal based at least in part on the conditioned GI signal data; and a condition classification module configured to determine a digestion condition of the subject based at least in part on the at least one feature of the GI signal.

13 . The system of claim 12 , further comprising a sensor application module configured to verify a recording condition of the one or more sensors based upon predefined sensor criteria.

14 . The system of claim 12 , wherein the signal conditioning module is configured to remove artifacts associated with movement of the subject from the GI signal data.

15 . The system of claim 12 , wherein the signal analysis module is configured to generate a cerebral network model based at least in part upon the conditioned GI signal data.

16 . The system of claim 12 , wherein the condition classification module is configured to identify a location and/or a severity of an abnormal digestion condition.

17 . The system of claim 12 , wherein the at least one feature of the GI signal comprises a cerebrosplanchnic oxygen ratio value or a splanchnic circulation value, to determine if a subject is at risk for disease.

18 . A method for digestion diagnosis, comprising:
positioning one or more electrogastrogram (EGG) electrodes, bowel sound stethoscopes and/or near-inferred spectroscopy (NIRS) sensors about an abdominal region of a subject; determining with a processor a recording condition for each of the one or more sensors based upon predefined sensor criteria; wherein when an acceptable recording condition is identified, one or more signals are obtained from the one or more sensors, and wherein when an unacceptable recording condition is identified, an indication of the sensor corresponding to the unacceptable recording condition is provided.

19 . The method of claim 18 , wherein following an indication of the sensor corresponding to the unacceptable recording condition, a communication to a user for correction of the unacceptable recording condition is provided.

20 . The method of claim 18 , further comprising amplification and filtering of the one or more obtained GI signals.

21 . The method of claim 18 , further comprising sampling the one or more obtained GI signals to obtain digital GI data.

22 . The method of claim 21 , wherein the digital GI data is stored in memory.

23 . The method of claim 22 , wherein a backup of the digital GI data is provided by a computer unit or a server, or a combination thereof.

24 . A system for diagnosis of a digestion condition and/or a feeding readiness of a subject and to identify a subject at risk for disease, comprising a computer unit comprising:
a signal recording module configured to acquire GI signals from one or more sensors positioned about an abdominal region of a subject, wherein the sensors detect oxygen saturation in the abdominal region of the subject; a signal conditioning module configured to condition GI signal data from the one or more GI signals; a signal analysis module configured to determine at least one feature of a GI signal based at least in part the conditioned GI signal data; and a condition classification module configured to determine a digestion condition of the subject based at least in part on the at least one feature of the GI signal.

25 . The system of claim 24 , wherein a cerebrosplanchnic oxygen ratio is recorded by the signal recording module, and wherein the condition classification module determines a digestion condition of the subject based on the cerebrosplanchnic oxygen ratio.

26 . The system of claim 25 , wherein the digestion condition of the subject comprises an ability of the subject to tolerate an orogastric feed.

27 . A system for diagnosis of a digestion condition and/or a feeding readiness of a subject and to identify a subject at risk for disease, comprising:
a computer processing module or modules to process (i) an EEG signal input; (ii) a bowel sound input and (iii) a NIRS input; and a display to present data to an operator of the system.

28 . The system of claim 27 , further comprising an EEG probe, a bowel sound stethoscope and an NIRS probe in communication with said computer.

29 . The system of claim 27 , further comprising a signal conditioning module configured to condition one or more of (i), (ii) or (iii) inputs.

Assignees

• Univ Florida

Inventors

• Neu Josef
• Oh Sungho
• Chien Jui-Hong
• Ortigoza Eric

Classifications

• A61B2503/045

  Newborns, e.g. premature baby monitoring · CPC title

• A61B5/742

  using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339) · CPC title

• A61B5/7275

  Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

• A61B5/42

  Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems (A61B1/00, A61B5/4857, A61B5/486, A61B5/4866, A61B5/4869 take precedence) · CPC title

• A61B5/4238 Primary

  stomach · CPC title