Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 3, 2024Open Access

Revolutionizing Geriatric Care: Radar and Digital Twin Technology for Fall Severity Detection

View Full Paper
Ask AI
Bookmark
Share

Authors

AEAbdelrahman ElbadrawyUniversity of WaterlooHAHajar AbediUniversity of WaterlooASArien SligarAnsys (United States)

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Elbadrawy et al. (2024) studied this question.

synapsesocial.com/papers/68e6ba71b6db64358763b1aahttps://doi.org/10.21203/rs.3.rs-4259409/v1
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Smart Home Digital Twin to Support the Recognition of Activities of Daily Living2023 · 29 citations
  2. 2Falls and Traumatic Brain Injury Among Older Adults: TABLE 1.2015 · 17 citations
  3. 3Radar‐based fall detection based on Doppler time–frequency signatures for assisted living2015 · 167 citations
  4. 4Fall Detection With UWB Radars and CNN-LSTM Architecture2020 · 139 citations
  5. 5Human Target Detection, Tracking, and Classification Using 24-GHz FMCW Radar2019 · 153 citations