# US 2025/0143601 A1 · A System And Method For Assessing A Mobility Indicator Of A Patient

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 2025/0143601 A1
- Document ID: US20250143601A1
- Status: Published application
- Kind: A1
- Application number: 18/685,013
- Filed: 2022-08-22
- Published: 2025-05-08
- Earliest claimed: 2021-08-24
- Assignees: Adapttech Prosthetics Limited
- Applicants: Adapttech Prosthetics Limited
- Inventors: Frederico Alberto Abreu Carpinteiro; Ana Sofia Miranda De Castro Resende Assis; Marina Neves Miranda De Castro
- Web page: https://patentgrep.com/patent/US20250143601A1

## CPC

- A61B 5/112: {Gait analysis}
- A61B 5/4851: {Prosthesis assessment or monitoring}
- A61B 5/6811: {External prosthesis}
- A61B 5/7267: {involving training the classification device}
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)

## Abstract

A system (100) and method for monitoring the gait of an amputee for assessment of a mobility indicator which is a resultant of a combination of clinically relevant outputs. The system (100) comprises at least two monitors (20) which are in connection with each other and disposed on different positions on at least one of the prosthetic device (10) or the body part (50) of the amputee. The at least two monitors (20) obtain mobility data (25) of the amputee in daily life. The system (100) further comprises an assessment tool (30) for assessing the mobility indicator based on the obtained mobility data (25). A report tool (40) reports the mobility indicator to the amputee.

## Claims

### Claim 1

A system for monitoring the mobility of a patient for assessment of a mobility indicator, the system comprising:
a prosthesis for a residual body part of the patient;
at least two monitors in connection with each other, disposed on different positions on at least one of the prosthesis or the residual body part of the patient, for obtaining mobility data;
an assessment tool for performing an assessment of the mobility data yielding the mobility indicator which is a resultant of a combination of clinically relevant outputs; and
a report tool for reporting the mobility indicator.

### Claim 2 (depends on 1)

The system according to claim 1, wherein the assessment tool performs a K-level assessment of the patient.

### Claim 3 (depends on 1)

The system according to claim 1, wherein the at least two monitors each comprise at least one of a pressure sensor, an inertial motion unit, a battery, a clock, a memory, barometer, an accelerometer, a gyroscope, a magnetometer, and a wireless communication unit.

### Claim 4 (depends on 1)

The system according to claim 1, wherein the at least two monitors communicate wirelessly with at least one of the report tool and the assessment tool.

### Claim 5 (depends on 1)

The system according to claim 1, wherein the mobility data are one of a number of steps, number of strides, balance, cadence, cadence variability, speed, foot clearance, stride length, stride duration, step length, step duration, stance duration, swing duration, walking detection, walking bouts detection, ramp detection, running detection, turning detection, stairs detection.

### Claim 6 (depends on 1)

The system according to claim 1, wherein the at least one of the report tool and the assessment tool is adapted to run on one of a mobile phone, a personal computer, or a cloud-based system.

### Claim 7

A method for assessing a mobility indicator of an amputee using a prosthetic device, the mobility indicator being a resultant of a combination of clinically relevant outputs, the method comprising:
obtaining mobility data by at least two monitors, disposed on different positions on at least one of the prosthesis or a body part of the amputee;
analysis of the mobility data; and
assessment of mobility indicator from the analyzed mobility data.

### Claim 8 (depends on 7)

The method according to claim 7 further comprising suggesting the mobility indicator by a report tool.

### Claim 9 (depends on 7)

The method of claim 7, wherein at least some of the mobility data is obtained as blind data.

### Claim 10 (depends on 7)

The method of claim 7, wherein the assessment of the mobility indicator further comprises the use of user input data.