Dr. Daniel T.H. Lai received his bachelor of electrical and computer systems engineering (Hons) and PhD in electrical and computer systems from Monash University, Melbourne, Australia. He was a postdoctoral research fellow at the University of Melbourne and Victoria University (2007-2010). He is currently with the Faculty of Health, Engineering and Science at Victoria University (2011). His research interests include computational intelligence and sensor network technology for healthcare and sports applications. This involves the design of new noninvasive and proactive sensing technologies capable of detecting, diagnosing, and predicting health risks. He has more than 50 peer-reviewed publications and is a current reviewer for several international journals, including IEEE Transactions of Information Technology and Biomedicine, Journal of Biomechanics, and Sensors and Actuators. He is also actively involved in the organization of several workshops and international conferences. Prof. Rezaul K. Begg received his BSc and MSc Eng degrees in electrical and electronic engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, and his PhD in biomedical engineering from the University of Aberdeen, UK. Currently he is a Professor within the Biomechanics Unit at Victoria University, Melbourne, Australia. Previously, he worked with the University of Aberdeen, Deakin University, and BUET. His research interests are in biomedical engineering, gait biomechanics, and machine learning. He has published more than 160 research papers in these areas. He is on the editorial board for several international journals and regularly reviews submissions for more than 15 international journals. He has also been actively involved in organizing a number of major international conferences. He has received several awards for academic excellence, including the ICISIP 2005 Best Paper Award, the Vice C

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• Sensor Networks in Healthcare: A New Paradigm for Improving Future Global Health. Healthcare and Accelerometry: Applications for Activity Monitoring, Recognition, and Functional Assessment. Intrabody Communication Using Contact Electrodes in Low-Frequency Bands. The Prospect of Energy-Harvesting Technologies for Healthcare Wireless Sensor Networks. Addressing Security, Privacy, and Efficiency Issues in Healthcare Systems. Flexible and Wearable Chemical Sensors for Noninvasive Biomonitoring. Monitoring Walking in Health and Disease. Motion Sensors in Osteoarthritis: Prospects and Issues. The Challenges of Monitoring Physical Activity in Children with Wearable Sensor Technologies. Ambulatory and Remote Monitoring of Parkinson’s Disease Motor Symptoms. Nocturnal Sensing and Intervention for Assisted Living of People with Dementia. Experiences in Developing a Wearable Gait Assistant for Parkinson’s Disease Patients. Designing Low-Cost ECG Sensor and Monitor: Practical Considerations and Measures. Sensors, Monitoring and Model-Based Data Analysis in Sports, Exercise and Rehabilitation. Robust Monitoring of Sport and Exercise. Index.

Dr. Daniel T.H. Lai received his bachelor of electrical and computer systems engineering (Hons) and PhD in electrical and computer systems from Monash University, Melbourne, Australia. He was a postdoctoral research fellow at the University of Melbourne and Victoria University (2007-2010). He is currently with the Faculty of Health, Engineering and Science at Victoria University (2011). His research interests include computational intelligence and sensor network technology for healthcare and sports applications. This involves the design of new noninvasive and proactive sensing technologies capable of detecting, diagnosing, and predicting health risks. He has more than 50 peer-reviewed publications and is a current reviewer for several international journals, including IEEE Transactions of Information Technology and Biomedicine, Journal of Biomechanics, and Sensors and Actuators. He is also actively involved in the organization of several workshops and international conferences. Prof. Rezaul K. Begg received his BSc and MSc Eng degrees in electrical and electronic engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, and his PhD in biomedical engineering from the University of Aberdeen, UK. Currently he is a Professor within the Biomechanics Unit at Victoria University, Melbourne, Australia. Previously, he worked with the University of Aberdeen, Deakin University, and BUET. His research interests are in biomedical engineering, gait biomechanics, and machine learning. He has published more than 160 research papers in these areas. He is on the editorial board for several international journals and regularly reviews submissions for more than 15 international journals. He has also been actively involved in organizing a number of major international conferences. He has received several awards for academic excellence, including the ICISIP 2005 Best Paper Award, the Vice C

Select Guide Rating

• Sensor Networks in Healthcare: A New Paradigm for Improving Future Global Health. Healthcare and Accelerometry: Applications for Activity Monitoring, Recognition, and Functional Assessment. Intrabody Communication Using Contact Electrodes in Low-Frequency Bands. The Prospect of Energy-Harvesting Technologies for Healthcare Wireless Sensor Networks. Addressing Security, Privacy, and Efficiency Issues in Healthcare Systems. Flexible and Wearable Chemical Sensors for Noninvasive Biomonitoring. Monitoring Walking in Health and Disease. Motion Sensors in Osteoarthritis: Prospects and Issues. The Challenges of Monitoring Physical Activity in Children with Wearable Sensor Technologies. Ambulatory and Remote Monitoring of Parkinson’s Disease Motor Symptoms. Nocturnal Sensing and Intervention for Assisted Living of People with Dementia. Experiences in Developing a Wearable Gait Assistant for Parkinson’s Disease Patients. Designing Low-Cost ECG Sensor and Monitor: Practical Considerations and Measures. Sensors, Monitoring and Model-Based Data Analysis in Sports, Exercise and Rehabilitation. Robust Monitoring of Sport and Exercise. Index.

Dr. Daniel T.H. Lai received his bachelor of electrical and computer systems engineering (Hons) and PhD in electrical and computer systems from Monash University, Melbourne, Australia. He was a postdoctoral research fellow at the University of Melbourne and Victoria University (2007-2010). He is currently with the Faculty of Health, Engineering and Science at Victoria University (2011). His research interests include computational intelligence and sensor network technology for healthcare and sports applications. This involves the design of new noninvasive and proactive sensing technologies capable of detecting, diagnosing, and predicting health risks. He has more than 50 peer-reviewed publications and is a current reviewer for several international journals, including IEEE Transactions of Information Technology and Biomedicine, Journal of Biomechanics, and Sensors and Actuators. He is also actively involved in the organization of several workshops and international conferences. Prof. Rezaul K. Begg received his BSc and MSc Eng degrees in electrical and electronic engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, and his PhD in biomedical engineering from the University of Aberdeen, UK. Currently he is a Professor within the Biomechanics Unit at Victoria University, Melbourne, Australia. Previously, he worked with the University of Aberdeen, Deakin University, and BUET. His research interests are in biomedical engineering, gait biomechanics, and machine learning. He has published more than 160 research papers in these areas. He is on the editorial board for several international journals and regularly reviews submissions for more than 15 international journals. He has also been actively involved in organizing a number of major international conferences. He has received several awards for academic excellence, including the ICISIP 2005 Best Paper Award, the Vice C

Select Guide Rating

• Sensor Networks in Healthcare: A New Paradigm for Improving Future Global Health. Healthcare and Accelerometry: Applications for Activity Monitoring, Recognition, and Functional Assessment. Intrabody Communication Using Contact Electrodes in Low-Frequency Bands. The Prospect of Energy-Harvesting Technologies for Healthcare Wireless Sensor Networks. Addressing Security, Privacy, and Efficiency Issues in Healthcare Systems. Flexible and Wearable Chemical Sensors for Noninvasive Biomonitoring. Monitoring Walking in Health and Disease. Motion Sensors in Osteoarthritis: Prospects and Issues. The Challenges of Monitoring Physical Activity in Children with Wearable Sensor Technologies. Ambulatory and Remote Monitoring of Parkinson’s Disease Motor Symptoms. Nocturnal Sensing and Intervention for Assisted Living of People with Dementia. Experiences in Developing a Wearable Gait Assistant for Parkinson’s Disease Patients. Designing Low-Cost ECG Sensor and Monitor: Practical Considerations and Measures. Sensors, Monitoring and Model-Based Data Analysis in Sports, Exercise and Rehabilitation. Robust Monitoring of Sport and Exercise. Index.