Evaluation of fall risk for post-stroke patients using bluetooth low-energy wireless sensor

2013 ◽  
Author(s):  
B. Allen ◽  
R. Derveloy ◽  
K. Lowry ◽  
H. Handley ◽  
N. Fell ◽  
...  
Keyword(s):  
Fall Risk ◽  
Low Energy ◽  
Wireless Sensor ◽  
Stroke Patients ◽  
Bluetooth Low Energy ◽  
Post Stroke

scholarly journals Post-Stroke Patients with Moderate Function Have the Greatest Risk of Falls: A National Cohort Study

2019 ◽  
Author(s):  
Wycliffe Enli Wei ◽  
Deidre Anne De Silva ◽  
Hui Meng Chang ◽  
Jiali Yao ◽  
David Bruce Matchar ◽  
...  
Keyword(s):  
Cohort Study ◽  
Fall Risk ◽  
Primary Outcome Measure ◽  
National Registry ◽  
Stroke Patients ◽  
Functional Level ◽  
Stroke Registry ◽  
Post Stroke ◽  
National Cohort ◽  
Risk Of Falls

Abstract Background Stroke patients have increased risks of falls. We examined national registry data to evaluate the association between post-stroke functional level and the risk of low falls among post-stroke patients. Methods This retrospective cohort study analyzed data from national registries to examine the risk factors for post-stroke falls. Data for patients who suffered ischemic strokes and survived the index hospital admission was obtained from the Singapore National Stroke Registry and matched to the National Trauma Registry, from 2011 to 2015. The primary outcome measure was a low fall (fall height ≤0.5m). Competing risk analysis was performed to examine the association between functional level (by modified Rankin score [mRS] at discharge) and the risk of subsequent low falls. Results In all, 2,255 patients who suffered ischemic strokes had recorded mRS. The mean age was 66.6 years and 58.5% were men. By the end of 2015, 54 (2.39%) had a low fall while 93 (4.12%) died. After adjusting for potential confounders, mRS was associated with fall risk with an inverted U-shaped relationship. Compared to patients with a score of zero, the sub-distribution hazard ratio (SHR) increased to a maximum of 3.42 (95%CI:1.21-9.65, p=0.020) for patients with a score of 2. The SHR then declined to 2.45 (95%CI:0.85-7.12, p=0.098), 2.86 (95%CI:0.95-8.61, p=0.062) and 1.93 (95%CI:0.44-8.52, p=0.38) for patients with scores of 3, 4 and 5 respectively. Conclusions An inverted U-shaped relationship between functional status and fall risk was observed. This is consistent with the complex interplay between decreasing mobility (hence decreased opportunity to fall) and increasing susceptibility to falls. Fall prevention intervention could be targeted accordingly.

scholarly journals Post-Stroke Patients with Moderate Function Have the Greatest Risk of Falls: A National Cohort Study

2019 ◽  
Author(s):  
Wycliffe Enli Wei ◽  
Deidre Anne De Silva ◽  
Hui Meng Chang ◽  
Jiali Yao ◽  
David Bruce Matchar ◽  
...  
Keyword(s):  
Cohort Study ◽  
Fall Risk ◽  
Primary Outcome Measure ◽  
National Registry ◽  
Stroke Patients ◽  
Functional Level ◽  
Stroke Registry ◽  
Post Stroke ◽  
National Cohort ◽  
Risk Of Falls

Abstract Background Stroke patients have increased risks of falls. We examined national registry data to evaluate the association between post-stroke functional level and the risk of low falls among post-stroke patients. Methods This retrospective cohort study analyzed data from national registries to examine the risk factors for post-stroke falls. Data for patients who suffered ischemic strokes and survived the index hospital admission was obtained from the Singapore National Stroke Registry and matched to the National Trauma Registry, from 2011 to 2015. The primary outcome measure was a low fall (fall height ≤0.5m). Competing risk analysis was performed to examine the association between functional level (by modified Rankin score [mRS] at discharge) and the risk of subsequent low falls. Results In all, 2,255 patients who suffered ischemic strokes had recorded mRS. The mean age was 66.6 years and 58.5% were men. By the end of 2015, 54 (2.39%) had a low fall while 93 (4.12%) died. After adjusting for potential confounders, mRS was associated with fall risk with an inverted U-shaped relationship. Compared to patients with a score of zero, the sub-distribution hazard ratio (SHR) increased to a maximum of 3.42 (95%CI:1.21-9.65, p=0.020) for patients with a score of 2. The SHR then declined to 2.45 (95%CI:0.85-7.12, p=0.098), 2.86 (95%CI:0.95-8.61, p=0.062) and 1.93 (95%CI:0.44-8.52, p=0.38) for patients with scores of 3, 4 and 5 respectively. Conclusions An inverted U-shaped relationship between functional status and fall risk was observed. This is consistent with the complex interplay between decreasing mobility (hence decreased opportunity to fall) and increasing susceptibility to falls. Fall prevention intervention could be targeted accordingly.

scholarly journals Bluetooth Low Energy Wireless Sensor Network Library in MATLAB Simulink

2020 ◽  
Vol 9 (3) ◽  
pp. 38
Author(s):  
Rolands Shavelis ◽  
Kaspars Ozols
Keyword(s):  
Data Exchange ◽  
Transmission Rate ◽  
Packet Transmission ◽  
Data Packet ◽  
Low Energy ◽  
Wireless Sensor ◽  
Channel Noise ◽  
Bluetooth Low Energy ◽  
Matlab Simulink ◽  
High Data

The paper describes the elements of the developed MATLAB Simulink library for building the models of Bluetooth Low Energy (BLE) wireless sensor networks to simulate the communication between BLE devices in the presence of interference and channel noise. Various parameters can be configured for the devices including their 2D positions to take into account the distances between them for calculating the attenuation coefficients of the transmitted signals. Two simulation examples are provided, one of which demonstrates the data exchange between one master device and one slave at high data packet transmission rate (2 kHz), while the other example shows the data exchange between one master and multiple slaves simultaneously, in which case the data packet transmission rate can be no larger than 133 Hz.

scholarly journals A Multi-Channel Electromyography, Electrocardiography and Inertial Wireless Sensor Module Using Bluetooth Low-Energy

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 934
Author(s):  
Giorgio Biagetti ◽  
Paolo Crippa ◽  
Laura Falaschetti ◽  
Claudio Turchetti
Keyword(s):  
Inertial Sensor ◽  
Sampling Rate ◽  
Linear Acceleration ◽  
Consumer Electronics ◽  
Low Energy ◽  
Wireless Sensor ◽  
Bluetooth Low Energy ◽  
Available Bandwidth ◽  
Sensor Module ◽  
Human Activity Detection

This paper proposes a wireless sensor device for the real-time acquisition of bioelectrical signals such as electromyography (EMG) and electrocardiography (ECG), coupled with an inertial sensor, to provide a comprehensive stream of data suitable for human activity detection, motion analysis, and technology-assisted nursing of persons with physical or cognitive impairments. The sensor is able to acquire up to three independent bioelectrical channels (six electrodes), each with 24 bits of resolution and a sampling rate up to 3.2 kHz, and has a 6-DoF inertial platform measuring linear acceleration and angular velocity. The bluetooth low-energy wireless link was chosen because it allows easy interfacing with many consumer electronics devices, such as smartphones or tablets, that can work as data aggregators, but also imposes data rate restrictions. These restrictions are investigated in this paper as well, together with the strategy we adopted to maximize the available bandwidth and reliability of the transmission within the limits imposed by the protocol.

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