PATENT CLAIM ANALYSIS

Application Number: 15750289
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["482", "092000"]

Abstract:
Gait rehabilitation systems, methods, and apparatuses thereof are disclosed. In accordance with one aspect of the invention, a gait rehabilitation system may include a harness configured for attachment to an individual and at least one sensor configured to sense at least one parameter associated with gait of an individual, the individual having an affected leg and an unaffected leg. The system includes a braking system configured for attachment to the harness and in communication with the at least one sensor. The braking system is further configured for monitoring the at least one sensor to sense the at least one parameter associated with an individual's gait, determining when the affected leg is in a modification portion of the individual's gait from the sensed at least one parameter, and applying a braking force resisting movement of the harness during the determined modification portion.

Claim (Index 4):
The method of  claim 1 ,\n wherein the sensing the at least one parameter comprises sensing force exerted on a walking surface by an affected foot of the affected leg; and wherein the determining when the affected leg is in the modification portion comprises determining when a forward portion of the affected foot is on the walking surface.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 88.0
- Lexical Diversity: 2.46774
- Patent Class: 482.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12762282', '15304147', '15001742', '15033220', '13342463']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6879097989125137
- 35 USC 102 Novelty (BERT): 0.4701676942711926
- Combined Prediction Score: 0.6661355884483816
- Mean Citation Score: 205.08227
- Max Citation Score: 209.93118
- Similarity Product: 158.75465390688657

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test