Chair and ancillary apparatus with medical diagnostic features in a remote health monitoring system

• US 8,211,014 B2
• Filed: 04/22/2011
• Issued: 07/03/2012
• Est. Priority Date: 05/18/2000
• Status: Expired due to Term

• Current Assignee: Commwell Incorporated
• Original Assignee: Commwell Incorporated
• Inventors: David, Daniel, David, Zipora, Levy, Irving, Halperson, Ziv
• Primary Examiner(s): Johnson, III, Henry M
• Assistant Examiner(s): JIAN, SHIRLEY XUEYING
• Application Number:
  US13/092,570
• Publication Number:
  US 20110201907A1
• Time in Patent Office: 438 Days
• Field of Search: None
• US Class Current: 600/300
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0026 characterised by the transmission medium
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02241 of small dimensions, e.g. adapted to fingers
• CPC Class Codes: A61B 5/0531 Measuring skin impedance
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/087 Measuring breath flow
• CPC Class Codes: A61B 5/1036 Measuring load distribution, e.g. podologic studies
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/225 of the fingers, e.g. by monitoring hand-grip force
• CPC Class Codes: A61B 5/282 Holders for multiple electrodes for introduction into the body A61B5/287
• CPC Class Codes: A61B 5/6887 mounted on external non-worn devices, e.g. non-medical devices
• CPC Class Codes: A61B 5/6891 Furniture
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R

Abstract

A medical examination chair includes a group of sensors including electrodes in finger-tip sensors, various other types of sensors incorporated in straps for the patient in the chair and load cells supporting the chair, all of which provide data which is partially processed in the electronics mounted in the chair and then transmitted to a central station for patient diagnosis.

Claims

1. A medical examination diagnostic device comprising:

a generally rectangular, horizontal chair seat for accommodation of a seated patient;

at least four seat support members located respectively at the corners of a rectangle, said seat having a front edge and a back edge, two of said support members generally aligned with the back edge and two of said support members generally aligned with the front edge;

an independent load sensor device located under each of said support members, each said load sensor device configured for detecting the load independently on each of the load sensors to provide a set of four independent data signals for medical diagnosis;

means for collecting said independent data signals;

a processor that measures and records the four signals independently as a function of time corresponding to a weight distribution of a patient sitting on the generally horizontal chair seat, said processor configured to provide an indication of each one of the four signals as a change characterized by a temporally sequential relationship among said four independent recorded data signals wherein said indication is selected from the group consisting of at least one of the following;

a diagnostic respiration rate;

a physiological trauma; and

a pathological trauma;

said processor including a processor element for providing a base reference signal for each of said load sensors, a differential amplifier to amplify changes in signal from said base signal for each of said load sensors, and a high pass filter to remove the DC component of each of said signals from said amplifier and a low pass filter to remove the AC component of each of said signals; and

a hand grip monitoring device including;

a first bladder;

a tube connected to the first bladder;

a source of pressurized fluid connected to the first bladder through the tube;

a check valve that monitors the first bladder and tube filled with a volume of fluid;

a first pressure sensor connected to the first bladder that measures the fluid pressure in the first bladder and provides a bladder pressure signal having a first (DC) signal component representative of the absolute pressure in the first bladder during a measured time increment and a second (AC) signal component representative of the change in pressure over said measured time increment in the first bladder, and

said processor configured to measure and record the first pressure signal component over said measured increment of time and the second pressure signal component over said measured increment of time, said first pressure signal component being integrated and recorded, said second pressure signal component being recorded to provide frequency and amplitude over the said increment of time, wherein the processor processes the first and second signals to detect a tremor of the patient.

2. The device of claim 1 further including one or more supplemental sensor elements selected from the group consisting of:

a blood pressure sensor;

a pulse oximetry sensor;

a sound sensor;

a skin resistance sensor;

a manual grip sensor;

a fluid flow rate sensor;

a glucometer.

3. The device of claim 1 further including a sensor element sensing the voltage associated with each of said load sensors independently and a bandpass filter filtering out select signals.

4. The device of claim 3 further including a signal processor processing the voltage signals from the independent load sensors to measure a differential signal between at least two pairs of load sensors.

5. The device of claim 1 further including recording means for historical recording of signals to provide an historical record and a comparator comparing the historical record with other recordings.

6. The device of claim 5 wherein the other recordings are derived from the same patient.

7. The device of claim 6 wherein the recordings are derived at least in part from a source of independent norms.

8. The device of claim 7 further including an alarm denoting the departure from a source of the other recordings.

9. The device of claim 1 in combination with a central station, said device maintained at a remote station, said stations being linked by two-way communications medium.

10. The device of claim 1 in combination with multiple remote station devices and a single central station and further including a control system monitoring each device.

11. The device of claim 1 wherein there is provided a control system monitoring a plurality of remote stations and further including a switch connecting a central station to each of said remote stations individually and sequentially.

12. The device of claim 1, further comprising:

a second bladder;

a second pressure sensor connected to the second bladder for measuring a corresponding fluid pressure in the second bladder and providing a corresponding signal representative of the second fluid pressure; and

the processor comparing the corresponding signal from the second bladder and the first and second signals from the first bladder.

13. The device of claim 1, further comprising:

the processor determining whether a detected tremor is indicative of a stroke.

14. The device of claim 1, further comprising:

the processor detecting load changes in the X and Y directions from the set of four independent data signals.

15. The device of claim 1, further comprising:

the processor determining whether a characteristic response signature of the weight distribution is indicative physiological or pathological trauma.