Hayashi

NeuroMetrix Announces Publication of Study Demonstrating that DPNCheck Accurately Diagnoses Diabetic Peripheral Neuropathy

Retrieved on: 
Thursday, March 14, 2024

WOBURN, Mass., March 14, 2024 (GLOBE NEWSWIRE) -- NeuroMetrix, Inc. (Nasdaq: NURO) noted the recent publication of a large study demonstrating that DPNCheck® combined with standard EKG or DPNCheck alone accurately detects diabetic peripheral neuropathy (DPN).

Key Points: 
  • WOBURN, Mass., March 14, 2024 (GLOBE NEWSWIRE) -- NeuroMetrix, Inc. (Nasdaq: NURO) noted the recent publication of a large study demonstrating that DPNCheck® combined with standard EKG or DPNCheck alone accurately detects diabetic peripheral neuropathy (DPN).
  • The reference standard for DPN was a gold standard nerve conduction study.
  • DPNCheck combined with CVR-R had high diagnostic performance with an area under the receiver operating curve of 0.88.
  • The authors concluded "The use of DPNCheck and electrocardiogram would make the diagnosis of DPN simple, ubiquitous, and with high reproducibility and reliability."

Kansai University Research: Visual AI in Sports for Improving the Performance of Table Tennis Players and Their Coaches

Retrieved on: 
Thursday, March 12, 2020

Hayashi and colleagues assessed the performance of table tennis players by tracking and analysis of trajectory patterns of forehand strokes of table tennis players with nine sensor markers attached to the right upper arm of players.

Key Points: 
  • Hayashi and colleagues assessed the performance of table tennis players by tracking and analysis of trajectory patterns of forehand strokes of table tennis players with nine sensor markers attached to the right upper arm of players.
  • "In addition, this approach clarified differences between top-class players and those we classified as middle level and beginners.
  • The data analysis was used to evaluate the possibility of improving skills specific to table tennis although this approach could be used for analysis of other sports."
  • Hayashi is the president to the table tennis club at Kansai University, tested the validity of AI model in sports informatics, specifically in table tennis.

Kansai University Research: Visual AI in Sports for Improving the Performance of Table Tennis Players and Their Coaches

Retrieved on: 
Thursday, March 12, 2020

Hayashi and colleagues assessed the performance of table tennis players by tracking and analysis of trajectory patterns of forehand strokes of table tennis players with nine sensor markers attached to the right upper arm of players.

Key Points: 
  • Hayashi and colleagues assessed the performance of table tennis players by tracking and analysis of trajectory patterns of forehand strokes of table tennis players with nine sensor markers attached to the right upper arm of players.
  • "In addition, this approach clarified differences between top-class players and those we classified as middle level and beginners.
  • The data analysis was used to evaluate the possibility of improving skills specific to table tennis although this approach could be used for analysis of other sports."
  • Hayashi is the president to the table tennis club at Kansai University, tested the validity of AI model in sports informatics, specifically in table tennis.