PATENT CLAIM ANALYSIS

Application Number: 15874652
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["370", "329000"]

Abstract:
Systems and methods described herein use pairing to associate a wireless sensor with a patient monitoring device such as a bedside patient monitor or a mobile device. A signal emitted by a patient monitoring device can be detected by a wireless sensor. The wireless sensor can be associated with the detected signal and pair the wireless sensor with the patient monitoring device. The wireless sensor can be configured to enter into a patient parameter sensing mode of operation after the association of the wireless sensor with the patient monitoring device.

Claim (Index 1):
A system for electronically pairing a wireless sensor with a patient monitoring device, the system comprising:\n a patient monitoring device comprising a first display; a wireless sensor, the wireless sensor comprising a button configured to activate a pairing mode that enables the wireless sensor to electronically pair with the patient monitoring device, the wireless sensor further comprising an optical detector configured to detect light based signals; and one or more hardware processors configured to:\n generate a visual signal from the first display; \n detect the visual signal with the optical detector of the wireless sensor; \n associate the wireless sensor with the patient monitoring device based on the detected visual signal, thereby pairing the wireless sensor with the patient monitoring device; \n transmit a confirmation signal from the wireless sensor to indicate that association is complete; and \n configure the wireless sensor to enter into a patient parameter sensing mode of operation after the association of the wireless sensor with the patient monitoring device.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.13636
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15253567', '15253355', '14972170', '15253536', '13916413']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6165422161294847
- 35 USC 102 Novelty (BERT): 0.5521450859629202
- Combined Prediction Score: 0.6101025031128283
- Mean Citation Score: 182.250068
- Max Citation Score: 224.56923
- Similarity Product: 162.6264263066161

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