This paper is in the following e-collection/theme issue:

Development of Novel Medical Devices and Innovations for Existing Devices (80) Novel Sensors and Data Acquisition Methods in Cardiology (196)

Published on in Vol 5, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16620, first published .
A Contact-Free, Ballistocardiography-Based Monitoring System (Emfit QS) for Measuring Nocturnal Heart Rate and Heart Rate Variability: Validation Study

A Contact-Free, Ballistocardiography-Based Monitoring System (Emfit QS) for Measuring Nocturnal Heart Rate and Heart Rate Variability: Validation Study

A Contact-Free, Ballistocardiography-Based Monitoring System (Emfit QS) for Measuring Nocturnal Heart Rate and Heart Rate Variability: Validation Study

Authors of this article:

Ville Vesterinen1 Author Orcid Image ;   Niina Rinkinen1 Author Orcid Image ;   Ari Nummela1 Author Orcid Image
Article Authors Cited by (12) Tweetations (6) Metrics

Journals

  1. Hendriks M, van Lotringen J, Vos-van der Hulst M, Keijsers N. Bed Sensor Technology for Objective Sleep Monitoring Within the Clinical Rehabilitation Setting: Observational Feasibility Study. JMIR mHealth and uHealth 2021;9(2):e24339 View
  2. Cui H, Wang Z, Yu B, Jiang F, Geng N, Li Y, Xu L, Zheng D, Zhang B, Lu P, Greenwald S. Statistical Analysis of the Consistency of HRV Analysis Using BCG or Pulse Wave Signals. Sensors 2022;22(6):2423 View
  3. Nuuttila O, Korhonen E, Laukkanen J, Kyröläinen H. Validity of the Wrist-Worn Polar Vantage V2 to Measure Heart Rate and Heart Rate Variability at Rest. Sensors 2021;22(1):137 View
  4. Jang Y, Sim J, Yang J, Kwon N. Improving heart rate variability information consistency in Doppler cardiogram using signal reconstruction system with deep learning for Contact-free heartbeat monitoring. Biomedical Signal Processing and Control 2022;76:103691 View
  5. Zhang X, Xu H. Prediction of Angina Pectoris Events in Middle-Aged and Elderly People Using RR Interval Time Series in the Resting State: A Cohort Study Based on SHHS. International Journal of Computational Intelligence Systems 2023;16(1) View
  6. Mishica C, Kyröläinen H, Hynynen E, Nummela A, Holmberg H, Linnamo V. Relationships between Heart Rate Variability, Sleep Duration, Cortisol and Physical Training in Young Athletes. Journal of Sports Science and Medicine 2021:778 View
  7. van Rijssen I, Hulst R, Gorter J, Gerritsen A, Visser-Meily J, Dudink J, Voorman J, Pillen S, Verschuren O. Device-based and subjective measurements of sleep in children with cerebral palsy: a comparison of sleep diary, actigraphy, and bed sensor data. Journal of Clinical Sleep Medicine 2023;19(1):35 View
  8. LEE S, AN K, KWON S, SONG W. SLEEP MONITORING FOR INDIVIDUALS WITH SPINAL CORD INJURY USING CONTACT-FREE BED SENSORS. Journal of Mechanics in Medicine and Biology 2022;22(08) View
  9. Li W, Cao Y, Wang C, Sepúlveda N. Ferroelectret nanogenerators for the development of bioengineering systems. Cell Reports Physical Science 2023;4(5):101388 View
  10. Buimer H, Siebelink N, Gaasterland A, van Dam K, Smits A, Frederiks K, van der Poel A. Sleep–wake monitoring of people with intellectual disability: Examining the agreement of EMFIT QS and actigraphy. Journal of Applied Research in Intellectual Disabilities 2023;36(6):1276 View
  11. Frasch M. Heart Rate Variability Code: Does It Exist and Can We Hack It?. Bioengineering 2023;10(7):822 View
  12. Shimotori D, Otaka E, Sato K, Takasugi M, Yamakawa N, Shimizu A, Kagaya H, Kondo I. Agreement between Vital Signs Measured Using Mat-Type Noncontact Sensors and Those from Conventional Clinical Assessment. Healthcare 2024;12(12):1193 View