System for monitoring disease progression

• US 10,079,074 B1
• Filed: 03/16/2017
• Issued: 09/18/2018
• Est. Priority Date: 03/16/2017
• Status: Active Grant

• Current Assignee: Peter Cohen Foundation Doing Business As Everythingals
• Original Assignee: Prize4Life Co.
• Inventors: Rishoni, Shay
• Primary Examiner(s): Lam, Eliza Anne
• Application Number:
  US15/460,529
• Publication Number:
  US 20180268108A1
• Time in Patent Office: 551 Days
• Field of Search: 705 2, 705 3
• CPC Class Codes: G06F 3/167 Audio in a user interface, e.g. using voice commands for navigating, audio feedback
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 25/48 specially adapted for particular use
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Personal communication devices and computer-implemented systems for monitoring of ALS disease state of a patient are presented. The computer-implemented system comprises assignment selection module configured to access a library comprising predefined activity(ies), and enable selection of at least one predefined activity to be monitored by sensor(s) associated with the patient; assignment execution module configured to identify sensing signal(s) from the sensor(s) and generate corresponding output signal(s) indicative of the predefined activity, the sensing signal(s) comprising at least one of the following: reading, drawing, finger tapping, speaking, breathing, walking; and assignment reporting module configured to communicate with a data analyzer for communicating the output signal(s) indicative of the predefined activity to the data analyzer, thereby enabling storing the output data in a memory for use in monitoring and analyzing the ALS disease state of the patient.

Claims

1. A personal communication device configured for positioning in a vicinity of an Amyotrophic Lateral Sclerosis disease patient, the device comprising:

a user interface utility;

a memory utility;

a communication utility configured and operable for communication with a second communication utility in a remote system via a communication network;

a sensor assembly comprising a plurality of sensors comprising at least the following sensors;

a proximity sensor;

audio sensor;

image sensor;

location sensor;

motion sensor; and

a data processing utility preprogrammed for running a software application configured for monitoring ALS disease state of a patient, said software application comprising;

assignment library comprising a plurality of predefined activities, performance of which is indicative of the ALS disease'"'"'s condition or stage, the predefined activities comprising active tasks that require active selection and input from a user and passive tasks that run in background according to a predetermined regime, the predefined activities comprising reading, drawing, speaking, breathing, and walking activities;

assignment selection module comprising a user interface configured to access said assignment library and present at least some of the predefined activities from the assignment library to the patient to enable the patient'"'"'s selection of at least one of the predefined activities to thereby activate monitoring of the patient active performance of the selected at least one active task and monitoring of the at least one passive task running in the background by one or more sensors of a plurality of predetermined sensors associated with the patient;

assignment execution module configured to be responsive to receive sensing signals during said at least one activated predefined activity from said one or more sensors during said at least one predefined activity and to generate corresponding one or more output signals indicative of said at least one activated predefined activity; and

assignment reporting module connected to said assignment execution module and configured to receive the one or more output signals indicative of said at least one activated predefined activity and communicate with a data analyzer for transmitting said one or more output signal indicative of said at least one predefined activity to the data analyzer, thereby enabling analyzing said one or more output signals indicative of said at least one activated predefined activity and storing analysis results in a memory for use in monitoring and analyzing the ALS disease state of said patient.

2. The personal communication device according to claim 1, configured as a smartphone device.

3. The personal communication device according to claim 1, comprising a touch screen device comprising said proximity sensor.

4. The personal communication device according to 1, comprising at least one integrated camera, a microphone assembly, and a speaker assembly.

5. The personal communication device according to claim 1, wherein said assignment execution module comprises a voice recognition module configured for analyzing detected audio signals and determining a degree of speech accuracy or breathing pattern.

6. The system according to claim 1, wherein said input data indicative of sensing signals is received from a plurality of ALS patients.

7. The system according to claim 1, wherein said ALS disease state comprises one or more of the following:

disease stage, disease progression speed, and lifetime expectancy.