Home suggested immobilization test (SIT) monitor and methodology

• US 20080077055A1
• Filed: 09/06/2007
• Published: 03/27/2008
• Est. Priority Date: 09/06/2006
• Status: Abandoned Application

• Current Assignee: Maness-Allen LLC
• Original Assignee: Maness-Allen LLC
• Inventors: Allen, Robert
• Application Number:
  US11/899,536
• Publication Number:
  US 20080077055A1
• Time in Patent Office: Days
• US Class Current: 600/595
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick

Abstract

A Restless Legs Syndrome (RLS) sensory symptoms monitoring device for recording and analyzing, with the use of a personal computer, the RLS sensory symptoms of one wearing the device during a specified test period in which the wearer complies with a given test protocol includes: (a) a switch for the wearer to input, at prescribed time intervals during the test period, the wearer'"'"'s RLS sensory symptoms assessment, (b) an alarm for indicating to the wearer the instances of the prescribed times during the period when the assessments are to be made and inputted into the device, (c) a sensor that measures the compliance of the wearer with the test protocol, (d) a microprocessor having embedded programmable memory, (e) a storage element for the inputted assessments and data, and (f) firmware for controlling the microprocessor'"'"'s operation.

Claims

1. A RLS sensory symptoms monitoring device for recording and analyzing, with the use of a personal computer, the RLS sensory symptoms of one wearing said device during a specified test period in which said wearer complies with a given test protocol, said device comprising:

a means for said wearer to input, at prescribed time intervals during said test period, into said device said wearer'"'"'s assessment at said time intervals of said wearer'"'"'s RLS sensory symptoms,

a means for indicating to said wearer the instances of said prescribed times during said period when said assessments are to be made and inputted into said device,

a means for sensing and inputting into said device data that measures the compliance of said wearer with said test protocol,

a microprocessor connected to said means, said microprocessor having embedded programmable memory,

a means for storing said inputted assessments and data,

a firmware means for controlling the operation of said microprocessor to control said indicating means and to temporarily store said assessments and data in said storage means, and

a means for transferring said stored assessments and data to said personal computer.

2. The monitoring device as recited in claim 1, further comprising a means for sensing and inputting into said device data that measures a RLS-impacted motor sign from said wearer.

3. The monitoring device as recited in claim 1, wherein said compliance sensing means including a sensor chosen from the group consisting of a position or motion or activity sensor configured so as to allow said sensor to be attached at a position on said wearer'"'"'s anatomy, a video recording means configured for monitoring said wearer, or an environmental sensor that is configured to sense an aspect of the environment surrounding said wearer during said test.

4. The monitoring device as recited in claim 2, wherein said compliance sensing means including a sensor chosen from the group consisting of a position or motion or activity sensor configured so as to allow said sensor to be attached at a position on said wearer'"'"'s anatomy, a video recording means configured for monitoring said wearer, or an environmental sensor that is configured to sense an aspect of the environment surrounding said wearer during said test.

5. The monitoring device as recited in claim 1, further comprising a software means for controlling the operation of said personal computer to analyze said transferred assessments and data.

6. The monitoring device as recited in claim 2, further comprising a software means for controlling the operation of said personal computer to analyze said transferred assessments and data.

7. The monitoring device as recited in claim 3, further comprising a software means for controlling the operation of said personal computer to analyze said transferred assessments and data.

8. The monitoring device as recited in claim 4, further comprising a software means for controlling the operation of said personal computer to analyze said transferred assessments and data.

9. The monitoring device as recited in claim 5, wherein said software means is configured to provide data analysis that includes computation of RLS symptom characterizing parameters chosen from the group of parameters including the average over a specified time period of the inputted assessments of said wearer'"'"'s RLS sensory symptoms and the rate of change of said average in response to-be-investigated criteria that may impact the severity of these symptoms.

10. The monitoring device as recited in claim 8, wherein said software means is configured to provide data analysis that includes computation of RLS symptom characterizing parameters chosen from the group of parameters including the average over a specified time period of the inputted assessments of said wearer'"'"'s RLS sensory symptoms and the rate of change of said average in response to-be-investigated criteria that may impact the severity of these symptoms.

11. A method for monitoring, recording and analyzing, with the use of a personal computer, the RLS sensory symptoms of an individual, said method comprising the steps of:

imposing on said individual, during a specified test period, a given test protocol that is to be complied with by said individual,

utilizing a monitoring device into which to input, at prescribed time intervals during said test period, said individual'"'"'s assessment at said time intervals of said individual'"'"'s RLS sensory symptoms,

indicating to said individual the instances of said prescribed times during said period when said assessments are to be made and inputted into said device,

sensing and inputting into said device data that measures the compliance with said test protocol,

storing said inputted assessments and sensed data,

utilizing a microprocessor within said device to control said indications, sensing and storage of data and assessments, and

transferring said stored assessments and data to said personal computer.

12. The method recited in claim 11, further comprising the step of sensing and inputting into said device data that measures a RLS-impacted motor sign from said wearer.

13. The method recited in claim 11, further comprising the step of using a software means for controlling the operation of said personal computer to analyze said transferred assessments and data.

14. The method recited in claim 12, further comprising the step of using a software means for controlling the operation of said personal computer to analyze said transferred assessments and data.

15. The method recited in claim 11, wherein said sensing step utilizes a sensor chosen from the group consisting of a position or motion or activity sensor configured so as to allow said sensor to be attached at a position on said wearer'"'"'s anatomy, a video recording means configured for monitoring said wearer, or an environmental sensor that is configured to sense an aspect of the environment surrounding said wearer during said test.

16. The method recited in claim 13, wherein said sensing step utilizes a sensor chosen from the group consisting of a position or motion or activity sensor configured so as to allow said sensor to be attached at a position on said wearer'"'"'s anatomy, a video recording means configured for monitoring said wearer, or an environmental sensor that is configured to sense an aspect of the environment surrounding said wearer during said test.

17. The method recited in claim 15, wherein said software means is configured to provide data analysis that includes computation of RLS symptom characterizing parameters chosen from the group of parameters including the average over a specified time period of the inputted assessments of said individual'"'"'s RLS sensory symptoms and the rate of change of said average in response to-be-investigated criteria that may impact the severity of these symptoms.

18. The method recited in claim 16, wherein said software means is configured to provide data analysis that includes computation of RLS symptom characterizing parameters chosen from the group of parameters including the average over a specified time period of the inputted assessments of said individual'"'"'s RLS sensory symptoms and the rate of change of said average in response to-be-investigated criteria that may impact the severity of these symptoms.