A Patient-Centric Sensory System for In-Home Rehabilitation

Abbasi-Kesbi, Reza; Nikfarjam, Alireza; Memarzadeh-Tehran, Hamidreza

doi:10.1109/jsen.2016.2631464

Cited by 23 publications

(16 citation statements)

References 32 publications

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“…4 ) to establish a data stream at an average sampling rate of 50 Hz. Also, the central node coordinates the access of the WMSs to the wireless medium to prevent data collision and subsequent loss of information [ 18 , 19 ]. The hardware settings including the transceiver output power and data rate were set 0 dBm and 1.8 Mbps, respectively.…”

Section: Developed Measurement Systemmentioning

confidence: 99%

Technique to estimate human reaction time based on visual perception

Abbasi-Kesbi

Memarzadeh-Tehran

Deen

2017

Healthcare Technology Letters

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The design and implementation of a wearable system to estimate the human reaction time (HRT) to visual stimulus based on two identical wireless motion sensors are described. Each sensor incorporates a motion sensor (gyroscope), a processor and a transceiver operating at the industrial, scientific and medical frequency of 2.45 GHz. Relevant tests to estimate the HRT are performed in two different scenarios including simple and recognition tests for 90 pairs of measurements. The obtained results are compared with a computer-based system to determine the accuracy of the proposed system. The root mean square error, standard deviation error and mean error of the results are 2.88, 6.17 and 0.3 ms for simple test while for recognition test as low as 3.34, 7.83 and 0.35 ms, respectively. The outcomes of the HRT estimation tests confirm HRT can increase by 40–87% due to increased fatigue levels.

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Section: Developed Measurement Systemmentioning

confidence: 99%

Technique to estimate human reaction time based on visual perception

Abbasi-Kesbi

Memarzadeh-Tehran

Deen

2017

Healthcare Technology Letters

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“…S p = TP TP + FP (5) where TP is the number of true sounds which are detected, and FN is the number of missed true sounds. Also, FP is whole other sounds which detected while do not belong to TP group.…”

Section: Resultsmentioning

confidence: 99%

Cardiorespiratory system monitoring using a developed acoustic sensor

Abbasi-Kesbi

Valipour

Imani

2018

Healthcare Technology Letters

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This Letter proposes a wireless acoustic sensor for monitoring heartbeat and respiration rate based on phonocardiogram (PCG). The developed sensor comprises a processor, a transceiver which operates at industrial, scientific and medical band and the frequency of 2.54 GHz as well as two capacitor microphones which one for recording the heartbeat and another one for respiration rate. To evaluate the precision of the presented sensor in estimating heartbeat and respiration rate, the sensor is tested on the different volunteers and the obtained results are compared with a gold standard as a reference. The results reveal that root-mean-square error are determined <2.27 beats/min and 0.92 breaths/min for the heartbeat and respiration rate in turn. While the standard deviation of the error is obtained <1.26 and 0.63 for heartbeat and respiration rate, respectively. Also, the sensor estimate sounds of to obtained PCG signal with sensitivity and specificity 98.1% and 98.3% in turn that make 3% improvement than previous works. The results prove that the sensor can be appropriate candidate for recognising abnormal condition in the cardiorespiratory system.

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“…Today, a considerable number of applications of wireless sensor networks have been found in many fields such as wearable system [1], healthcare [2], rehabilitation, and telerehabilitation [3, 4]. One of the extreme application of wireless sensor networks is modern agriculture that improves production efficiency, product quality, and reduces their harsh environmental impact.…”

Section: Introductionmentioning

confidence: 99%