These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
176 related articles for article (PubMed ID: 34821644)
1. Design and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention. Lin WY; Chen CH; Lee MY Biosensors (Basel); 2021 Oct; 11(11):. PubMed ID: 34821644 [TBL] [Abstract][Full Text] [Related]
2. Enhancing Patient Safety Through an Integrated Internet of Things Patient Care System: Large Quasi-Experimental Study on Fall Prevention. Wen MH; Chen PY; Lin S; Lien CW; Tu SH; Chueh CY; Wu YF; Tan Cheng Kian K; Hsu YL; Bai D J Med Internet Res; 2024 Oct; 26():e58380. PubMed ID: 39361417 [TBL] [Abstract][Full Text] [Related]
3. Detection and Application of Wearable Devices Based on Internet of Things in Human Physical Health. Lou J; Yang F; Lv C Comput Intell Neurosci; 2022; 2022():5678736. PubMed ID: 35774446 [TBL] [Abstract][Full Text] [Related]
4. Fall Recognition Based on an IMU Wearable Device and Fall Verification through a Smart Speaker and the IoT. Lin HC; Chen MJ; Lee CH; Kung LC; Huang JT Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420638 [TBL] [Abstract][Full Text] [Related]
5. Smart bed notification system base on Internet of Things for fall prevention in patients with stroke. Taryudi T; Lindayani L; Purnama H; Mutiar A J Med Eng Technol; 2022 Feb; 46(2):89-94. PubMed ID: 35060820 [TBL] [Abstract][Full Text] [Related]
6. Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis. Tulipani LJ; Meyer B; Larie D; Solomon AJ; McGinnis RS Gait Posture; 2020 Jul; 80():361-366. PubMed ID: 32615409 [TBL] [Abstract][Full Text] [Related]
7. Towards smart personalized perspiration analysis: An IoT-integrated cellulose-based microfluidic wearable patch for smartphone fluorimetric multi-sensing of sweat biomarkers. Ardalan S; Hosseinifard M; Vosough M; Golmohammadi H Biosens Bioelectron; 2020 Nov; 168():112450. PubMed ID: 32877780 [TBL] [Abstract][Full Text] [Related]
8. Internet of Things (IoT)-Enabled Elderly Fall Verification, Exploiting Temporal Inference Models in Smart Homes. Kyriakopoulos G; Ntanos S; Anagnostopoulos T; Tsotsolas N; Salmon I; Ntalianis K Int J Environ Res Public Health; 2020 Jan; 17(2):. PubMed ID: 31936245 [TBL] [Abstract][Full Text] [Related]
9. A Patient-Specific Single Sensor IoT-Based Wearable Fall Prediction and Detection System. Saadeh W; Butt SA; Altaf MAB IEEE Trans Neural Syst Rehabil Eng; 2019 May; 27(5):995-1003. PubMed ID: 30998473 [TBL] [Abstract][Full Text] [Related]
10. Implementation of accelerometer sensor module and fall detection monitoring system based on wireless sensor network. Lee Y; Kim J; Son M; Lee M Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():2315-8. PubMed ID: 18002455 [TBL] [Abstract][Full Text] [Related]
11. A Feasibility Study of the Use of Smartwatches in Wearable Fall Detection Systems. González-Cañete FJ; Casilari E Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33807104 [TBL] [Abstract][Full Text] [Related]
12. Wearable Fall Detector Using Recurrent Neural Networks. Luna-Perejón F; Domínguez-Morales MJ; Civit-Balcells A Sensors (Basel); 2019 Nov; 19(22):. PubMed ID: 31717442 [TBL] [Abstract][Full Text] [Related]
13. Selecting Power-Efficient Signal Features for a Low-Power Fall Detector. Wang C; Redmond SJ; Lu W; Stevens MC; Lord SR; Lovell NH IEEE Trans Biomed Eng; 2017 Nov; 64(11):2729-2736. PubMed ID: 28212076 [TBL] [Abstract][Full Text] [Related]
14. Falls management framework for supporting an independent lifestyle for older adults: a systematic review. Nguyen H; Mirza F; Naeem MA; Baig MM Aging Clin Exp Res; 2018 Nov; 30(11):1275-1286. PubMed ID: 30196346 [TBL] [Abstract][Full Text] [Related]
15. Using a Medical Intranet of Things System to Prevent Bed Falls in an Acute Care Hospital: A Pilot Study. Balaguera HU; Wise D; Ng CY; Tso HW; Chiang WL; Hutchinson AM; Galvin T; Hilborne L; Hoffman C; Huang CC; Wang CJ J Med Internet Res; 2017 May; 19(5):e150. PubMed ID: 28473306 [TBL] [Abstract][Full Text] [Related]
16. Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets. Aziz O; Klenk J; Schwickert L; Chiari L; Becker C; Park EJ; Mori G; Robinovitch SN PLoS One; 2017; 12(7):e0180318. PubMed ID: 28678808 [TBL] [Abstract][Full Text] [Related]
17. Accelerometer sensor module and fall detection monitoring system based on wireless sensor network for e-health applications. Lee Y; Lee M Telemed J E Health; 2008 Aug; 14(6):587-92. PubMed ID: 18729759 [TBL] [Abstract][Full Text] [Related]
18. Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor. Ejupi A; Galang C; Aziz O; Park EJ; Robinovitch S Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():2150-2153. PubMed ID: 29060322 [TBL] [Abstract][Full Text] [Related]
19. Deriving Multiple-Layer Information from a Motion-Sensing Mattress for Precision Care. Bai D; Ho MC; Mathunjwa BM; Hsu YL Sensors (Basel); 2023 Feb; 23(3):. PubMed ID: 36772776 [TBL] [Abstract][Full Text] [Related]
20. Hidden Markov Model-Based Fall Detection With Motion Sensor Orientation Calibration: A Case for Real-Life Home Monitoring. Yu S; Chen H; Brown RA IEEE J Biomed Health Inform; 2018 Nov; 22(6):1847-1853. PubMed ID: 29990227 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]