N ° d ’ ordre : 2166 EDSPIC : 534 UNIVERSITÉ BLAISE PASCAL -

i Acknowledgements As a Sino-French Joint PhD student, I wish to express my sincere appreciation to my thesis advisors, Prof. Hong Sun and Prof. Kun-Mean Hou for their encouragement, guidance and support during this effort. It has been a great pleasure to learn from them during the process of my research. I want to express my deep gratitude to Prof. Xin Xu, for his support and inspiring guidance for the years I spent in Wuhan University. Much thanks go to Dr. I am thankful to my collaborator, Jacques Lecoq for his insightful discussions and valuable suggestions for supporting the chip design. I am thankful to my classmates of Wuhan University, especially Xin Lu for her encouragement. I would like to thank Ge Xu, Hang Dong and Jiayu Chen. To all other PhD students of signal processing and modern communication laboratory (SPMC). I would also like to thank all colleagues and friends of the LIMOS laboratory. Especially thanks to Hongling SHI for his valuable suggestion and Yibo Chen for his assistance. It also has been a great working with my lab-mates in LIMOS. Much thanks go to Messaoud Kara, Special thanks to my family, especially my Mom and Dad, for their support and encouragements over the years. And I am thankful to my sister and her husband for their support and encouragements. emplacements d'électrodes les moins sensibles aux interférences sont étudiés. Abstract According to the figures released by World Health Organization (WHO), cardiovascular disease is the number one cause of death in the world. In France every year more than 50,000 people die suddenly due cardiac arrhythmias. Identification of high risk sudden death patients is still a challenge. To detect cardiac arrhythmias, currently Holter is generally used to record 1~4 leads electrocardiogram (ECG) signals during 24h to 72h. However the use of Holter is limited among the population due to its form factor (not user-friendly) and cost. An integrated single chip wearable Holter named SoC-Holter that enables to record 1 to 4 leads ECG is introduced. Deployment of wireless sensor network requires each SoC-Holter with less power consumption, low-cost charging system and less die area. To minimize energy consumption and system cost, Complementary Metal Oxide Semiconductor (CMOS) technology (0.35μm) is used to prototype the first implementation of SoC-Holter. Then a novel method based on Compressed Sensing (CS) technique is introduced for solving the problems of power consumption and storage capacity of …