How it Works

Technology

The technology behind AEvice is a series of algorithm designed to accurately analyse lung sounds indicative of breathing abnormalities. Designed to address the needs of respiratory illnesses, the wearable system has the potential to be expanded to detect symptoms beyond asthma care

Technology

The technology behind AEvice is a series of algorithm designed to accurately analyse lung sounds indicative of breathing abnormalities. Designed to address the needs of respiratory illnesses, the wearable system has the potential to be expanded to detect symptoms beyond asthma care

Features

The lung sounds detected are processed by the algorithm to generate a report reflective of the user’s respiratory condition. The device has the potential to detect symptoms relating to respiratory illnesses such as wheezing and coughing. With further research, the AEviceMD can be further developed to address the needs of illnesses such as COPD.

Features

The lung sounds detected are processed by the algorithm to generate a report reflective of the user’s respiratory condition. The device has the potential to detect symptoms relating to respiratory illnesses such as wheezing and coughing. With further research, the AEviceMD can be further developed to address the needs of illnesses such as COPD.

Publications

X Liu, W Ser, J Zhang, and Daniel YT Goh, “Detection of Adventitious Lung Sounds using Entropy Features and a 2-D Threshold Setting,” 10th International Conference on Information, Communications and Signal Processing (ICICS), Singapore, 2 – 4 December, 2015 (Read More)

JM Zhang, W Ser, and DYT Goh, “A Novel Respiratory Rate Estimation Method for Sound-Based Wearable Monitoring Systems,” 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’11), Boston, USA, 30 Aug – 3 Sep 2011. (Read More)

DYT Goh, W Ser, JM Zhang, JF Yu, C Chua, IM Louis, and T Zhang, “Development of a Wearable System to Record and Analyse Respiratory Sounds: Preliminary Data from Wheeze Analysis,“ 26th International Paediatric Association Congress, Johannesburg, South Africa, August 2010.

TT Zhang, W Ser, DYT Goh, J Zhang, JF Yu, C Chua, and IM Louis, “Sound based Heart Rate Monitoring for Wearable Systems,“ IEEE International Conference on Body Sensor Networks (BSN 2010), Singapore, June 7-9, 2010. (Read More)

JM Zhang, W Ser, JF Yu, and TT Zhang, “A Novel Wheeze Detection Method for Wearable Monitoring Systems,“ International Symposium on Intelligent Ubiquitous Computing and Education (IUCE2009), Chengdu, China, pp. 331-334, May 15–16, 2009. (Read More)

W Ser, TT Zhang, JF Yu, and JM Zhang, “Detection of Wheezes using A Wearable Distributed Array of Microphones,“ BSN 2009, Berkeley, CA, USA, pp. 296-300, June 3-5, 2009. (Read More)

W Ser, ZL Yu, JM Zhang, and JF Yu, “A Wearable System Design with Wheeze Signal Detection,” 5th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2008), China, pp. 260-263, June 1-3, 2008. (Read More)

W Ser, J Zhang, J Yu, and T Zhang, “An Air-Conduction Sensor and A System and A Method for Monitoring a Health Condition”, Patent No: 184338, Singapore, November 15, 2013. (Read More)

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