Artificial Intelligence Based Diagnosis of Parkinson’s Disorders
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2154-6_13
Reference40 articles.
1. Kalia, L.V., Lang, A.E.: Parkinson’s disease. Lancet 386(9996), 896–912 (2015). https://doi.org/10.1016/S0140-6736(14)61393-3
2. Espay, A.J., Bonato, P., Nahab, F.B., et al.: Technology in Parkinson’s disease: challenges and opportunities. Mov. Disord. 31(9), 1272–1282 (2016). https://doi.org/10.1002/mds.26642
3. Mestre, T.A., Lang, A.E.: Using wearable technology to monitor motor symptoms in Parkinson’s disease. CNS Drugs 33(3), 231–238 (2019). https://doi.org/10.1007/s40263-019-00609-8
4. Fagherazzi, G., Elisei, S., Galvagni, L., et al.: Wearable devices for monitoring the physical and psychological symptoms of patients with Parkinson’s disease in their daily life: a systematic review. J. Med. Internet Res. 21(7), e12885 (2019). https://doi.org/10.2196/12885
5. Arora, S., Venkataraman, V., Donohue, S.J., Biglan, K.M., Dorsey, E.R., Little, M.A.: High accuracy discrimination of Parkinson’s disease participants from healthy controls using smartphones. Mov. Disord. 33(12), 1894–1896 (2018). https://doi.org/10.1002/mds.27537
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