PATENT CLAIM ANALYSIS

Application Number: 16255037
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["623", "001130"]

Abstract:
Implantable in vivo sensors used to monitor physical, chemical or electrical parameters within a body. The in vivo sensors are integral with an implantable medical device and are responsive to externally or internally applied energy. Upon application of energy, the sensors undergo a phase change in at least part of the material of the device which is then detected external to the body by conventional techniques such as radiography, ultrasound imaging, magnetic resonance imaging, radio frequency imaging or the like. The in vivo sensors of the present invention may be employed to provide volumetric measurements, flow rate measurements, pressure measurements, electrical measurements, biochemical measurements, temperature, measurements, or measure the degree and type of deposits within the lumen of an endoluminal implant, such as a stent or other type of endoluminal conduit. The in vivo sensors may also be used therapeutically to modulate mechanical and/or physical properties of the endoluminal implant in response to the sensed or monitored parameter.

Claim (Index 17):
The implantable biosensor of  claim 16 , wherein at least some struts of the plurality of struts further include at least one recess in the abluminal wall surface of the at least some struts of the plurality of struts.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 99.0
- Lexical Diversity: 1.89247
- Patent Class: 623.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15257885', '09783633', '13596923', '10936884', '10840205']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8120628892351847
- 35 USC 102 Novelty (BERT): 0.5073094799535809
- Combined Prediction Score: 0.7815875483070243
- Mean Citation Score: 299.934206
- Max Citation Score: 335.36298
- Similarity Product: 234.33440893095016

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

Dataset: test