Changepoint Detection in Heart Rate Variability Indices in Older Patients Without Cancer at End of Life Using Ballistocardiography Signals: Preliminary Retrospective Study.
Naotake YanagisawaYuji NishizakiBingwei YaoJianting ZhangTakatoshi KasaiPublished in: JMIR formative research (2024)
This preliminary study identified the changepoint of HRV indices before death in older patients at end of life. Although few data were examined, our findings indicated that HRV indices from BCG can be useful for monitoring and predicting survival time in older patients at end of life. The study and results suggest the potential for more objective and accurate prognostic tools in predicting end-of-life outcomes.
Keyphrases
- heart rate variability
- heart rate
- physical activity
- papillary thyroid
- community dwelling
- machine learning
- metabolic syndrome
- electronic health record
- big data
- risk assessment
- skeletal muscle
- mass spectrometry
- high resolution
- artificial intelligence
- climate change
- insulin resistance
- quantum dots
- sensitive detection
- label free
- human health
- loop mediated isothermal amplification
- free survival
- real time pcr